PID controller parameter optimization method based on genetic algorithm and motor

Abstract

The invention relates to a PID controller parameter optimization method based on a genetic algorithm and a motor. The two PID controllers are in cascade control; different control parameters are set;kp1, Ki1, Kd1, Kp2, Ki2 and Kd2 are subjected to binary coding and then are combined into a plurality of different individuals; and forming an initial population, determining the fitness of each individual in the initial population; corresponding individuals are selected according to the fitness to be subjected to copying, crossing and mutation operation in sequence; forming next generation populations, S2 and S3 are iteratively executed on the next generation of population; end of iterative process, and finally, taking the individual with the maximum fitness in the generated population as anoptimal solution individual. Kp1, Ki1, Kd1, Kp2, Ki2 and Kd2 of the optimal solution individuals serve as optimal control parameters, the optimal control parameters are used for controlling a controlled object, the optimization efficiency is high, the calculation precision is high, and after the method is applied to the motor, the torque and the speed of the motor can be quickly adjusted to the optimal state.

Description

technical field [0001] The invention relates to the field of PID controllers, in particular to a genetic algorithm-based PID controller parameter optimization method and a motor. Background technique [0002] The PID controller is a common feedback loop component in industrial control, and it is controlled by a linear combination of proportional deviation (Proportional), integral (Integral), and derivative (Derivative). As the earliest practical controller, the PID controller has a history of nearly a hundred years. Due to the characteristics of simple structure, good stability, and no need for precise system models in use, the PID controller is still the most widely used controller. . [0003] At present, the main method to optimize the parameters of the PID controller is the manual tuning method, which requires the user to have skilled skills, and is time-consuming, and the parameter accuracy is not high, especially when the characteristics of the controlled object change...

AI Technical Summary

Problems solved by technology

[0003] At present, the main method to optimize the parameters of the PID controller is the manual tuning method, which requires the user to have skilled skills, and it is time-consuming, and the parameter accuracy is not high , especially when the characteristics of the controlled object change, since the PID regulator cannot optimize this change in real time, its parameters need to be readjusted to achieve the best. It can be seen that the existing process of optimizing the parameters of the PID controller is not efficient. High and low accuracy

Images