Vehicle Dynamics

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CAD courtesy of Kelly Klima
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Project Structure
Vehicle(s)
Planning Group M-ship NTG User Interface
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Current Physical Layout
Vision PC Command & Control PC dSPACE card Programmable Interrupt Controller (PIC) Trainer Port Cable RC Transmitter
• • • • A number of wireless vehicles Vision system (emulates GPS) Command system Inter-vehicle communication
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Camera Image
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Vision Calibration
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Preliminary Graph Theory Results
• Model information topology as a directed graph • Changes in interconnection affect stability of configuration • Nyquist-based criterion for formation stability
The Caltech Multi-Vehicle Wireless Testbed: Initial Implementation
Lars Cremean, Jason Meltzer, Ben Lee, Richard Murray
(In collaboration with Steven Low, Jason Hickey, Eric Klavins, Reza Olfati, Bill Dunbar and Dave van Gogh)

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Initial data – Theta control
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Outline
• What is the Multi-Vehicle Wireless Testbed (MVWT)? • Implementation of closed-loop vehicle control • Preliminary control results • Extension to multiple vehicles • Conclusions and future work
Command Center
Simulation
Planning Group M-ship NTG
Vehicle Control Real-Time OS Onboard Onboard Comp. Comms. Vehicle HW
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Vehicle Control
Real-Time Monitor
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Future Physical Layout
Vision PC Command PC dSPACE card (optional) • Vision computer broadcasts states
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What is the MVWT?
• Experimental platform for investigating the intersection of control, computation and communications • Consists of:
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Simulation Environment
• Dynamic simulation by Working Model 2D • DDE interface to MATLAB (and C/C++) for control design • Collision detection/ handling
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Movie – Point-to-point automatic control
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Data – Point-to-point automatic control
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Prototype Vehicle Design
• Actuation: Two high-power unidirectional ducted fans • No onboard sensing • Receive fan input signals via radio link
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Local Control
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Extension to Multiple Vehicles
• Currently two prototype vehicles built Eight next-generation vehicles planned • Each vehicle, in general, will have knowledge of the states of itself and some subset of all other vehicles
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Vision Performance Specs
• 60 Hz • 16.8mm max. calibration error • 90% · 8mm • ~16msec latency
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Trajectory Tracking Methodology
• • • • More general framework for control Compute feasible trajectory in real-time Compute associated inputs Control about nominal trajectory
Reference: Fax, Murray; Information Flow and Cooperative Control of Vehicle Formations, IFAC 2002 submitted
• Assuming linear friction acting at CoM ⇒ vehicle is linear in state, nonlinear in input • Input-constrained, underactuated (0· FS/P· Fmax)
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Reference: Milam, Mushambi, Murray, A Computational Approach to Real-Time Trajectory Generation for Constrained Mechanical Systems, CDC 2000
of all vehicles via wireless ethernet (UDP) • Command PC broadcasts individual or coordinated tasks • Each vehicle has own control and communication
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