Optimal Control Strategy of Construction Machinery Motor Considering Genetic Algorithm

Abstract

Genetic algorithm is a global search optimization method, which has high efficiency and robustness in solving the control problems of complex systems. This paper first introduces the basic theory of genetic algorithm, coding method, fitness function design principle and other basic theoretical knowledge, then analyzes and studies them according to the model, establishes a simple and fast mathematical equation to solve the motor position and speed distribution law, and constructs a multi-objective optimization problem with robustness and efficiency based on the standard normal form system dynamic characteristic parameter self-tuning network. The test results show that the genetic algorithm can get an optimal solution when setting PID parameters, and the time to find the global optimal value is fast.