A hybrid actuator refers to a configuration combining the motions of two different electric motors with a mechanism to obtain a programmable output. This article presents an application of the genetic algorithm (GA) to determine optimal proportional-plus-integral-plus-derivative (PID) controller parameters to drive a seven link mechanism with an adjustable crank. A previously built model for a hybrid actuator system is used to explore the application. Simulation results are included to show how position control on both servomotors is achieved using GAs in off-line implementation.
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