Research on Modeling and Simulation of Tracked Robot
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非平稳随机激励下悬架系统动态频域分布研究张步云;汪若尘;孙晓东;曾发林【摘要】车辆在变速行驶状态下所受路面激励是非平稳随机过程;针对此状态下悬架系统动力学响应在时域和频域分布问题,基于车速参数通过线性时变系统法建立车辆所受路面激励模型.提出“动态频域”概念,建立1/4悬架系统模型.利用精细积分法研究车速变化导致的车身振动响应峰值频带变化特性,揭示非平稳随机激励下系统响应动态频域分布规律.研究可为非平稳随机振动变频域控制与应用提供理论参考,并为提高车辆在复杂行驶工况下的运行品质提供一种新的思路.%The road excitation to vehicles,which are on variable driving conditions such as acceleration or deceleration,is a complex non-stationary random process.In order to improve the ride and operation performance of vehicles on this state,a new time-frequency model of the road excitation to the whole vehicle is established by linear time variable system method based on the velocity,and the relationship between the velocity and coherence time-frequency domain distribution of multiple non-stationary random inputs is studied.The one quarter suspension system model is established,and the peak frequency span variation characteristics of vehicle body due to the variable velocity is researched by PIM(Precise Integration Method).The research can provide academic reference for variable frequency domain control and application of non-stationary random vibration,and provide a new thought for improving the vehicle operation quality on the complex riding conditions.【期刊名称】《科学技术与工程》【年(卷),期】2017(017)033【总页数】5页(P212-216)【关键词】非平稳随机信号;悬架;振动控制;动态频域;平顺性【作者】张步云;汪若尘;孙晓东;曾发林【作者单位】江苏大学汽车工程研究院,镇江212013;江苏大学汽车工程研究院,镇江212013;江苏大学汽车工程研究院,镇江212013;江苏大学汽车工程研究院,镇江212013【正文语种】中文【中图分类】O324;TH113.1由于路面不平度变化或变速行驶,车辆所经历的路面激励往往是非平稳随机过程,这种非平稳行驶状态不可避免地影响了车辆的平顺性、操纵稳定性与安全性[1—3]。
基于Trnsys的水冷型中央空调系统建模与仿真胡玮;陈立定【摘要】In this paper,a water-cooled central air conditioning system of a building in Guangzhou is taken for an example to establish the simulation models of one of the building's layers and its central air conditioning systems, on the basis of a controlled and uncontrolled cases, the energy consumption is analyzed. The simulation results from the two models show that there is a great space of energy-saving of central air conditioning system. This model is mainly used to study some properties of the central air conditioning and is of great significance to energy-saving optimal control of central air conditioning.%以广州某大厦水冷型中央空调系统为例子,利用Trnsys建立了大厦某层的多区域建筑及其中央空调系统能耗仿真模型,在此基础上分析加控制和不加控制2种情况下中央空调能耗情况.由2种模型的仿真结果可知中央空调具有很大的节能空间.模型主要用于研究中央空调运行的一些性质,对中央空调的节能优化控制具有重要的意义.【期刊名称】《系统仿真技术》【年(卷),期】2011(007)003【总页数】6页(P218-222,228)【关键词】瞬时系统模拟程序;水冷型中央空调;能耗模型【作者】胡玮;陈立定【作者单位】华南理工大学自动化科学与工程学院,广东广州510640;华南理工大学自动化科学与工程学院,广东广州510640【正文语种】中文【中图分类】TP391.91 引言今年是“十二五”规划的开局之年,在国家制定的“十二五”规划中,节能减排依然是重中之重。
第22卷第2期 系统 仿 真 学 报© V ol. 22 No. 22010年2月 Journal of System Simulation Feb., 2010供应链系统的动力学与复杂性建模仿真问题研究综述王 雯,傅卫平(西安理工大学机械与精密仪器工程学院,西安 710048)摘 要: 供应链系统的动力学和复杂性问题正在成为供应链设计、分析、优化和管理研究的一个热点。
然而,相当多的研究侧重于定性的分析或简化的模型,而且不同领域的学者一般采用不同的理论和方法。
通过对该领域相关研究文献的分析和归纳,在系统科学、复杂性科学和非线性科学理论的基础上,总结出供应链系统动力学和复杂性研究的建模仿真理论和方法的基本框架以及这些理论方法的相互联系,力图为供应链系统的动力学和复杂性建模仿真问题提供系统的研究思路。
关键词:供应链系统;建模仿真;复杂适应系统;非线性动力学;系统动力学;离散事件仿真 中图分类号:N945.1 文献标识码:A 文章编号:1004-731X (2010) 02-0271-09Review of Research on Modeling and Simulation for Dynamics and Complexity of Supply Chain SystemsWANG Wen, FU Wei-ping(Faculty of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an 710048, China)Abstract: The problems of dynamics and complexity are becoming one of focuses on design, analysis, optimizaiton and management of supply chains. Quite a few researches, however, have been concentrated on the qualitative analysis or simplified models; moreover, the researchers in the different domains usually used different theories and methods. With analizing and inducing the related research literatures, and based on the theories of system science, complexity science and nonlinearity science, the fundmental framework and interrelationship of the theories and methods of modeling and simulation on dynamics and complexity in supply chain systems were summarized to supply systematic research thinking to the modeling and simulation of dynamics and complexity problems in supply chain systems.Key words: supply chain systems; modeling and simulation; complex adaptive systems; nonlinear dynamics; system dynamics; discrete event simulation引 言供应链系统是一个具有不同实体、过程和资源之间的大量相互作用和相互依赖的复杂网络。
城市轨道交通系统单列车能耗优化余后伦;熊舒威;郭嫚【摘要】The low-carbon environmental protection and energy-saving emission reduction are the future development trend of railway.To optimize the energy-saving operation of the train, the train is treated as a single particle model and approximately considered as only running the three stages of traction, coasting and braking.On this basis, this paper establishes a typical non-linear programming model for optimizing the energy consumption of single train in the urban rail transit system, uses the sequence quadratic programming (SQP) algorithm to calculate the optimization and gives an example to verify its feasibility.%低碳环保、节能减排是铁路未来的发展趋势,为减少城市轨道列车的能耗,将列车处理为单质点模型,近似地认为城市轨道列车在两站间只经历牵引、惰行和制动3个阶段,在此基础上建立具有代表性的城市轨道交通系统单列车能耗优化的非线性规划模型,利用序列二次规划法(SQP)优化求解,并给出算例验证其可行性.【期刊名称】《山东交通学院学报》【年(卷),期】2017(025)001【总页数】7页(P14-20)【关键词】城市轨道交通;单质点模型;阶段;能耗;序列二次规划法【作者】余后伦;熊舒威;郭嫚【作者单位】西南交通大学交通运输与物流学院,四川成都 610031;西南交通大学交通运输与物流学院,四川成都 610031;西南交通大学交通运输与物流学院,四川成都 610031【正文语种】中文【中图分类】U268.6低碳环保、节能减排是铁路未来的发展趋势,列车运行过程中的能耗问题愈发引人关注。
不学模电数电能学计算机组成原理1.模电是一门研究电路和系统的基础学科。
Modeling and simulation of electrical circuits and systems is a fundamental discipline.2.模电涉及电路的建模、分析和设计。
It involves modeling, analysis and design of electrical circuits.3.数电是研究数字电子技术的学科。
Digital electronics is a discipline that studies digital electronic technology.4.数电涉及数字信号的处理和数字系统的设计。
It involves the processing of digital signals and the design of digital systems.5.电能学是研究电能的产生、传输和利用的学科。
Electric power engineering is a discipline that studiesthe generation, transmission and utilization of electrical energy.6.电能学涉及发电厂、输电线路和电力设备的运行与维护。
It involves the operation and maintenance of power plants, transmission lines and electrical equipment.7.计算机是由各种硬件和软件组成的复杂系统。
A computer is a complex system composed of various hardware and software.8.计算机的核心是中央处理器和内存。
The core of a computer is the central processing unit and memory.9.计算机的输入设备包括键盘和鼠标。
运动目标激光主动成像系统MTF建模仿真刘鹏;樊桂花;孙健;吴洋【摘要】According to the imaging principle of laser active imaging system and linear system theory,the MTF model of laser active imaging system for moving targets is established and simulated by using Matlab based on the general MTF model of electro-optical imaging system,and the MTF model considers the influence of atmosphere turbulence and motion on system imaging bined with the simulation results,the main factors that limit the system MTF and the effect of target motion are analyzed,which lays a theoretical foundation for the future evaluation and optimization of the system performance.%根据激光主动成像系统的成像原理和线性系统理论,在光电成像系统通用MTF模型的基础上,考虑了大气湍流和运动对系统成像性能的影响,建立了针对运动目标的激光主动成像系统MTF模型,并利用Matlab进行了仿真研究.结合具体的仿真结果,分析了限制系统MTF的主要因素以及目标运动的影响,为后续进行系统性能的评估和优化奠定了理论基础.【期刊名称】《激光与红外》【年(卷),期】2017(047)003【总页数】6页(P267-272)【关键词】激光主动成像系统;MTF;模型仿真;运动目标【作者】刘鹏;樊桂花;孙健;吴洋【作者单位】装备学院研究生院,北京101416;装备学院光电装备系,北京101416;装备学院研究生院,北京101416;装备学院研究生院,北京101416【正文语种】中文【中图分类】TN249建立准确合理的光电成像系统MTF模型,是进行系统设计和性能评估的前提。
机械工程专业英语教程第一课:机械工程简介Introduction to Mechanical EngineeringSection 1: OverviewMechanical engineering is a diverse and dynamic field that encompasses the design, development, and operation of machinery, structures, and systems. This branch of engineering plays a crucial role in various industries, including automotive, aerospace, manufacturing, and energy.Section 2: Responsibilities and SkillsAs a mechanical engineer, your responsibilities will include designing and analyzing mechanical systems, conducting tests and experiments, and supervising the manufacturing process. You will also need to have a strong understanding of physics, mathematics, and computer-aided design (CAD). Additionally, problem-solving skills, attention to detail, and the ability to work well in teams are essential.Section 3: Career OpportunitiesA degree in mechanical engineering can open up a wide range of career opportunities. You could work in research and development, product design, manufacturing, or projectmanagement. Mechanical engineers are in demand in almost every industry, ensuring a stable and rewarding career path.Section 4: University CoursesTo become a mechanical engineer, it is essential to pursue a degree in mechanical engineering from a reputable university. The curriculum typically includes courses in engineering principles, materials science, thermodynamics, fluid mechanics, and mechanical design. Additionally, practical training through internships or cooperative education programs is crucial for gaining hands-on experience.Section 5: ConclusionMechanical engineering offers a challenging and rewarding career for those with a passion for solving problems and a desire to create innovative solutions. With the right education and skills, you can embark on a successful journey in the field of mechanical engineering. Remember, the possibilities are endless in this ever-evolving discipline.第二课:机械设计基础Fundamentals of Mechanical DesignSection 1: IntroductionIn this lesson, we will explore the fundamentals of mechanical design. Mechanical design involves the creation and development of physical systems and components that meet specific requirements and specifications. This processrequires a deep understanding of materials, mechanics, and engineering principles.Section 2: Design ProcessThe design process typically follows a systematic approach that includes several stages. These stages include problem identification, conceptual design, detailed design, manufacturing, and testing. Each stage involves various activities such as brainstorming, prototyping, and evaluation.Section 3: Design ConsiderationsDuring the design process, there are several important considerations to keep in mind. These include functionality, efficiency, reliability, safety, and cost-effectiveness. It is also crucial to consider the environmental impact and sustainability of the design.Section 4: Tools and SoftwareTo aid in the design process, engineers use various tools and software. Computer-aided design (CAD) software allows for precise modeling and simulation of mechanical systems. Finite element analysis (FEA) software helps in analyzing the structural integrity and performance of designs.Section 5: Case StudyTo further understand the application of mechanical design principles, we will examine a case study. This real-world example will demonstrate how the design process isimplemented to solve a specific problem and achieve desired outcomes.Section 6: ConclusionMechanical design is a critical aspect of mechanical engineering. It requires a combination of creativity, technical knowledge, and attention to detail. By mastering the fundamentals of mechanical design, you will be well-equippedto tackle complex challenges and contribute to the development of innovative solutions.以上是《机械工程专业英语教程》的课文翻译。
信息物理系统中建模与仿真研究综述向婉芹;杨瓅;陈乙源【摘要】The cyber-physical systems(CPS)are a complex system with the characteristics of both the discrete dynamics and the continuous dynamics and interconnected subsystems,there are great difficulties in the modeling and simulation of the CPS. This article introduces the concept and features of the CPS as well as the challenges in the research,design,modeling and simulation.In addition,it probes into related researches on the modeling and simulation of the CPS in recent years.%物理信息融合系统由于兼具离散与连续动力学特征,且各子系统相互关联、组成复杂,其建模与仿真存在较大的挑战.本文首先介绍了信息物理系统的概念和特点,综述了其研究与设计、建模与仿真中存在的挑战;其次,将针对CPS的建模与仿真研究进行了分类和总结.【期刊名称】《重庆电力高等专科学校学报》【年(卷),期】2015(020)005【总页数】5页(P43-47)【关键词】信息物理融合系统;建模;仿真【作者】向婉芹;杨瓅;陈乙源【作者单位】重庆电力高等专科学校,重庆 400053;重庆电力高等专科学校,重庆400053;重庆电力高等专科学校,重庆 400053【正文语种】中文【中图分类】TP391.91.1 CPS基本概念信息物理融合系统(Cyber-Physical System,CPS)是近年来研究的热点,其定义与概念尚未统一,一种广为接受的看法是[1],CPS是在环境感知的基础上,深度融合了计算、通信和控制能力的,由可控、可信、可扩展的网络化物理硬件所构成的智能系统,是一个信息过程和物理过程互为反馈,且实现深度融合和实时交互的闭环系统,并能以安全、可靠、高效和实时的方式对物理实体进行监测或者控制[1]。
This work was sponsored by Science and Technology Plan Project of Shenyang(No. F13-181-9-00), Science and Technology Plan Project of Shenyang(No.F13-316-1-74), the Chinese Defense Advance Research Program of Science and Technology, China under Grant (No. 62501040412), LiaoningBaiQianWan Talents Program(No.2013921069),Talent Resources Development Special Funds of Shenyang(2010010403), The National High Technology Research and Development Program of China (No.2015AA042302).* Corresponding author :haolina@Research on Modeling and Simulation of Tracked Roboton RecurDynJie Han and Zhen AnLina Hao *School of Mechanical Engineering and AutomationSchool of Mechanical Engineering and AutomationNortheastern UniversityNortheastern UniversityShenyang, Liaoning Province, ChinaShenyang, Liaoning Province, China983260686@haolina@Abstract - Research on robot suspension system is an effective way to improve the running stability of the tracked robot. This paper introduces the mechanical structure of the tracked robot and established the simulation model of tracked robot. The tracked robot was driving on a bumpy road simulation experiment by using RecurDyn simulation software. Through the simulation experiment of tracked robot model constructing different parameters of the suspension system, it provides an effective basis for the design and optimization of track robot model.Index Terms - tracked robot; suspension system; m odeling; RecurDyn; stationary .I. I NTRODUCTIONThe unstructured working environment that moving robots faced at work tend to have complex terrain features, often including unequal height’s road surface, stairs, ramps, etc., which demands highly running stationary. Currently, the dynamics simulation software mainly includes DADS, ADAMS, RecurDyn for moving robots in unstructured working environment. In the aspects of researching methods and content, Qingguo Luo and Dongya Si carried out simulation test on the acceleration and constant speed for tracked vehicles to verify the validity of the simulation model [1]. Yong Yan analyzed and evaluated the ride performance of tracked exploration vehicle by measuring their accelerations of different positions [2]. Yilong Wei and Zhihong Cheng performed the analysis of robot vehicles using the principle that the changes of robot vehicles angles affected by topography can reflect the stable performance of suspension [3]. Haitao Cheng and Jun Kong used the acceleration signal to make a survey of running stability of subway vehicles [4]. Baogang Duan modeled multi-tracked vehicles, and modeled their hydraulic systems with AMESim software, conduct modeling research and simulation analysis on the whole vehicle with Joint dynamic models [5].In this article, RecurDyn software is used to establish the model of cracked robot, and simulation tests are carried out to for cracked robots on the hard bumps and slopes of roads. In order to ensure the stability of the cracked robot driving, Suspension system parameters are differently selected and simulation compared. The ride performance of tracked robots does not yet have a standard evaluation program, so this test scenario refers to the measurement methods of wheeled robots, making an analysis and evaluation on ride performance bymeasuring the acceleration of its center of mass. The constructed model’s dynamic simulation tests of cracked robots under different suspension system parameters provide a direct reference for the design and optimization of the model of cracked robots.II. T HE INTRODUCTION OF TRACKED ROBOT STRUCTURE In Figure 1, 1 is a caterpillar preloaded wheel; 2 is a tracked belt; 3 is a tracked robotic suspension system; 4 is a supporting wheel; 5 is a driving wheel. Suspension system ensures that the machine is running smoothly, and the acceleration will not lead to great changes in the verticaldirection.Fig.1 Tracked robot structure diagramTracked driving device, which consists of two closed tracks, two idler wheels, two driving wheels and ten road wheels, uses the two rotated parallel closed track belts to complete the movement of the vehicle body, as shown in Figure 1. There are elastic and damping elements between the road wheel and the vehicle body to reduce vibration during movement of the vehicle, which is the suspension system in this case. In addition, the inducer is also equipped with tracked tensioning device to adjust the degree of tension, ensuring the stability of the tracked links in the process of driving [6,7]. III. T HE SIMULATION ANALYSIS OF TRACKED ROBOT MODEL A. The establish of tracked robot experimental modelSmall Track-robot platform must have a high degree of flexibility as well as excellent off-road capability [8]. The mechanical properties of its structure and the use of environment are both complex, and thus the design of suspension system and parameter selection work is very difficult. The study of tracked vehicles has been in the foundation of "Experience + test" a long time after the appearance of tracked vehicles. And the traditional research model is based on empirical formulas and extensive tests with much cost and long development cycle [6].Proceeding of the 2015 IEEEInternational Conference on Information and AutomationLijiang, China, August 2015During the study, we make a research using multi-body dynamics simulation software RecurDyn. Since the establishment of the model and the constraints is too complex in modeling with SolidWorks, the use of low-speed tracked module is more convenient[9].1) The establishment of driving wheel modelThe main function of the driving wheels: in driving conditions, the driving torque is changed into the tension that transferred from transmission to the driving wheels by driving tracked belts; in braking condition, braking torque coming from brakes turns to track brakes. In simulation, tooth surface shape of the driving wheels, which plays a major role in driving, has a great influence on the simulation results[6]. Creat the driving wheels in the subsystem o software Track / LM subsystem, select Track (LM) tab, click Create Sprocket, then enter its parameters defined interface to complete the definition, shown in Figure 2.Fig.2 Sprocket parameter adjustment interface2) Track ring systemBecause of the existence of the caterpillar, the tracked robot becomes a very complicated dynamic system for the multi contact collision. The track ring is composed of a lot of crawler plates connected with the pin, and it and other wheel joint constitute the crawler system[6]. The low speed caterpillar studied in this paper is equipped with the inducer wheel to ensure that the track is not divorced from the load wheel when the transmission is driven. The basic structure size of the crawler board is shown in Figure 3.Fig.3 The basic structure of the track shoe size3) Model construction of whole crawler robotIn the previous basis, first of all the body model of the tracked robot was made according to the requirements of design. Then according to the design size and location of the drive wheel and the guide wheel, we have designed them, as shown in Figure 4.Fig.4 The basic body parts model diagramThe crawler robot uses the crawler traveling device to support its own weight, and the torque transmitted through the transmission device is transformed to the traction force through the interaction between the track and the ground, and realizes its movement. Because the track can be used as the vehicle's own road, it is easy for the vehicle to pass through the bearing capacity of the ground. The track can travel in which the wheel vehicle cannot pass through the road and the sand etc[6]. Track is a more versatile driving tool, the overall modelas shown in Figure 5.Fig.5 Tracked Robots overall modelB. Simulation test of tracked robotThe key and difficult points of the virtual prototype technology for the robot system simulation analysis are the establishment of the correct mechanical model. The aim is to make it closer to the actual situation, and then predict and evaluate the overall performance of the tracked robot[6]. In this study, mainly through regulating suspension system parameters of tracked robot model to ensure the stability of tracked robot when driving on the road, so as to ensure the tracked robot model is established for the science and innovation. In this paper, the simulation steps of tracked robot model can be divided into six steps: to build a mechanical system,addconstraint structure and drives, setting pavement, simulation, simulation results analysis, the simulation results verify. 1) Adding structure constraints and driversAfter the establishment of the model of the robot system of the crawler robot, it is necessary to guarantee the freedom of movement by adding structure constraints, as shown in table I.TABLE IConstraint between the various components of robotMember name Number Restriction Remarks Wheel 10 Revolute Load bearing shaftDrive wheel 2 Revolute Drive shaft Guide wheel 2 Revolute Guide shaft Load bearing shaft 10 Fixed Long link 、Short linkShock absorber left 10 Revolute Short link Shock absorber right 10 Revolute Spring pin The left of the spring 2 Fixed Immobile block The right of the spring2 Fixed Guide wheel Rotating shaft 10 Fixed Robot body Drive shaft 2 Fixed Robot body Guide shaft 2 Fixed Robot body Immobile block 2 Fixed Robot body Tracked plate233BushingTracked plateAfter the structure constraint of the crawler robot is added, the driving force of the rotating part of the driving wheel is needed to ensure that the tracked robot can have the driving power, as shown in Figure 6.Fig.6 Adding body driving map2) Construct pavement modelRecurDyn provides two methods of setting up soil model: one is to define the soil model by the general contact force, and one is based on the theory of Beck to define the soil model [6,10]. In this paper, the general contact force theory is used toestablish the hard surface model, and two kinds of simulation pavement are provided, such as the bumpy road and the slope pavement, as shown in Figure 7.abFig.7 The vehicle and the road overall model: a) The robot bumps thepavement. b) Robot in the ramp pavement.3) Simulation experimentIn the dynamic simulation, the number of simulation steps of the unit time is more or the step size is shorter, the more real simulation results are reflected, but the disadvantage is that the simulation time will be long. In this simulation, the simulation time of the two pavements is six seconds and eight seconds. The crawler robot can finish the whole road, and the simulation can reach the experimental requirements. The driving speed of the engine is converted into the driving angle of the driving wheel by the chain drive, according to the design requirement. In the process of simulation, the suspension system vibration absorber used a number of different parameters in order to make a comparison reference [7]. Finally, only the most convincing parameters of the three groups of suspension system are listed. Through the stability judge index, it can provide the effective basis for the model design of crawler robot. 4) Simulation result analysisTo prevent confusion, the first description of the suspension system shock absorber parameters. Suspension system shock absorber parameters are mainly refers to the stiffness coefficient of the elastic element and the damping coefficient of the damper. Elastic element is used to cushion the vibration and the damping element is used to consume the energy of vibration. By changing the parameters of the suspension system to observe the mass center of the vehicle, the parameters of the suspension system are determined.In order to reflect the traveling smoothness of the tracked robot, we introduce the vibration acceleration. The actual vibration of the tracked robot will be more directly reactive, and it can provide reliable basis for the stability of the tracked robot.Simulation curve consists of three parameters respectively corresponding to the bumps and sloping surface vibration acceleration and acceleration of partial enlargement. two road vibration acceleration as shown in Figure 8[9].abFigure.8 under three kinds of conditions, vibration acceleration of robot centroid :a) acceleration of the centroid of the robot under the bump. b)acceleration of centroid of robot under slope pavement.In the process of two kinds of pavement simulation, the initial state of the crawler robot is suspended. When the robot falls off the ground, the centroid of the tracked robot is larger and then tends to the normal value. Through the comparison of the data, it is not hard to find that the condition of the parameter two is the best. In the case of the parameter one, the observed curves of the bumps can be observed: the acceleration of the tracked robot is not symmetrical in the initial drop, which reflects the fact that the suspension system parameters are too small. In the case of two pavements, the parameters of the three case are similar to the parameters of the two case. However, the observed curves of the bumps can be observed: although its acceleration value is symmetric in the fall in the case of parameter three, its acceleration value is large. In order to explain the optimum of the parameters two more directly, we delete the time axis of the track robot falling down. In normal driving, the acceleration curve of the tracked robot is shown in Figure 9.abFigure.9 Three kinds of parameters under driving, acceleration of centroid when normal robot driving :a) acceleration of the centroid of the robot underthe bump. b) acceleration of centroid of robot under slope pavement.Through the centroid curve of the tracked robot, the condition of the parameter two is the optimum parameters. Theacceleration of the parameter one is small, but the analysis of the acceleration curve of the bumpy road and the slope pavement shows that the parameters are too small and can't meet the design requirements. Parameter three can meet the design requirements, but it will be found after comparing with the parameter two that its numerical value is too large, which will lead to relatively strong vibration of tracked robot and does not meet the crawler robot driving stability index. 5) Simulation results verifyIn order to make the tracked robot model have better running smoothly, the suspension parameters of the crawler robot are adjusted by three groups, and the optimum parameters are obtained by simulation. The comparison between simulation parameters and theoretical values is shown in table II, and the simulation results are in good agreement with the results of theoretical calculation. The correctness of the model is verified.Table IISimulation results compared with theoretical value of suspension system oftracked robotAttributeSimulation valueTheoretical valueSpring 1 steel coefficient 8333 8234 Spring 2 steel coefficient 4583 4595 Spring 3 steel coefficient 4583 4595 Spring 4 steel coefficient 4583 4595 Spring 5 steel coefficient 11112 11045 Damper 1 damping coefficient 587 580 Damper 2 damping coefficient 4075 4083 Damper 3 damping coefficient 4075 4083 Damper 4 damping coefficient 4075 4083 Damper 5 damping coefficient98759816Among them, the coefficient of steel unit (N/m), damping coefficient unit (Ns/m)IV. C ONCLUSIONIn the RecurDyn environment, the simulation model of the tracked robot is established, and the vibration acceleration curve of the tracked robot centroid in the bumpy road and the slope pavement is obtained.A. The acceleration curve can be found: suspension system shock absorber parameter is different and tracked robot does have different driving state, so the simulation data can provide direct reference for the model design of the tracked robot.B. Through the simulation of the three groups of suspension system and the stability index, the better parameters of the suspension system are found. In the case of the parameters, the tracked robot can travel normally and the vibration is small, and it can meet the actual needs.C. Through the comparison of the better parameter by simulation and theoretical values, the model of the robot is reasonable in the initial design and can meet the design requirements.R EFERENCES[1]Q. Luo, D. Si, Z. Gong, X. Zhao. Dynamic simulation of TrackedVehicle Based on RecurDyn[J]. Vehicle and power technology, 2011,04:26-28+50.[2]Y. Yan. Research on the ride comfort of the mine trackedexploration vehicle [J]. Mechanical Engineer, 2014, 12: 176-178.[3]Y. Wei, Z. Cheng, H. Jiang, J. Zhang, Z. Li. The design andanalysis of the 6 wheel linkage suspension design for mobile robot[J]. Robot, 2013,06:665-671.[4]H. Cheng, J. Kong, X. Huang. Test of running stationary of metrovehicles[J]. Study on Urban Rail Transit, Study on Urban Rail Transit.[5] B. Duan. Research and simulation analysis of multi tracked vehiclemodeling[D]. Dalian University of Technology,2011. [6]Y. Chen. system dynamics simulation analysis of tracked vehicleAction[D]. Shenyang Ligong University,2012.[7]Ningbo Univ, Ningo, Shang, Weiyan; Qiu, Faju :Design andOptimization of the Suspension System on the Wheel-tracked Exploration Robot ,2011,pp. 294-298.[8]M. Hei. Design and kinematic analysis of tracked robotdeformation[D]. National University of Defense Technology,2010.[9] A. Chen, X. Mu, F. Du, H. Guo. Modeling and Simulation ofcrawler robot based on RecurDyn[J]. Mechanical design, 2013,10:36-39.[10]X. Chai. Study on the design of colloid buffer and suspensionsystem of a tracked vehicle[D]. North University of China,2010.。