Optimization of mechanical hydraulic system load adaptation based on fuzzy control algorithm

Aiming at the problems of insufficient control accuracy and low energy efficiency caused by load fluctuations in mechanical hydraulic systems under complex working conditions, this paper uses fuzzy control algorithms as a research tool to explore the optimization path of load adaptation in hydraulic systems.After completing the modeling of load-sensitive valves, the principle of implied parallelism is borrowed to evaluate the adaptability capability of individual components in the mechanical hydraulic system.At the same time, genetic operators are defined to realize the mathematical theory of genetic algorithms in mechanical hydraulic systems as well as optimization.A new load control algorithm for mechanical hydraulic system is proposed by establishing a fuzzy PID control algorithm and integrating the genetic algorithm.The proposed algorithm is used to design a fuzzy adaptive PID controller for the hydraulic cylinder of the loader rocker arm, and simulation experiments of the loader load hydraulic system are carried out.After the flow and power parameters are stabilized, the flow rate of the multiway valve port is stable at 73.5539L/min and the power saving is stable at 0.8691kW, which shows the high effectiveness of the proposed algorithm in the optimization of mechanical hydraulic system load.