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Simulation and adaptive control of a robot arm

University of British Columbia

The equations of motion describing a robot's dynamics are coupled and nonlinear, making the design of an optimum controller difficult using classical techniques. In this work an explicit adaptive control law is proposed based on a discrete linear model for each link and on the minimization of a quadratic performance criterion. The system parameters are recursively estimated at each control step using least squares. A computer simulation of the resulting scheme is performed to evaluate the controller. The simulation model is based on the first three links of an existing robot, includes motor dynamics and treats the wrist assembly as a load mass. Simulated test paths requiring movement of the outer two links indicate that the controller adapts and that its behaviour is stable and convergent.

Text

2010-05-28

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http://hdl.handle.net/2429/25118

Mechanical Engineering

University of British Columbia

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