The model reference adaptive control based on the genetic algorithm

A control method that is a model reference adaptive control method (MRAC) based on the combination of PID control and the genetic algorithm is introduced. It implements the the genetic algorithm's global optimization to optimize the PID's three control parameters: Kp, Ki, Kd, to obtain the best control effect. This paper gives an example using this method to control a nonlinear system-continuous stirred tank reactor system (CSTR). Because the state of the CSTR system can not be obtained, a neural network is used to estimate the value of the state. This neural network is trained by the GA. Simulation results are given.

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