Genetic algorithm optimization of pid controller for a flexible manipulator

BA MD ZAIN, MO Tokhi - Advances In Mobile Robotics, 2008 - World Scientific
BA MD ZAIN, MO Tokhi
Advances In Mobile Robotics, 2008World Scientific
In this paper genetic algorithm (GA) optimization of controller for a flexible manipulator is
proposed. The dynamic model of the system is derived using the Lagrange equation and
discretised using the finite difference (FD) method. GA optimization is used to tune
parameters of proportional-integral-derivative (PID) controllers for the system. PID
controllers are employed in the feedforward and feedback paths for control of rigid-body and
flexible motion dynamics of the system. Simulation results of the response of the manipulator …
Abstract
In this paper genetic algorithm (GA) optimization of controller for a flexible manipulator is proposed. The dynamic model of the system is derived using the Lagrange equation and discretised using the finite difference (FD) method. GA optimization is used to tune parameters of proportional-integral-derivative (PID) controllers for the system. PID controllers are employed in the feedforward and feedback paths for control of rigid-body and flexible motion dynamics of the system. Simulation results of the response of the manipulator system with the developed controllers are presented and discussed.
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