Single-neuron Control Strategy of Engineering Mechanical Arm Hydraulic Drive System

摘要

The working environment of engineering mechanical arm hydraulic drive system is complex. The response indicators of the hydraulic drive system need a higher requirement. The conventional PID control method is limited to the complexity and imprecision of the mathematical model of the hydraulic drive system, which leads to the classical parameter tuning method adaptability bad or poor performance in the actual production. This paper puts forward a position control hydraulic cylinder system based on a high-speed on/off valve pilot control. Using a single-neuron control strategy, the single-neuron algorithm is used for the parameter optimization of mechanical arm hydraulic drive system controller. By using AMESim and Matlab co-simulation, it has verified that the single neuron PID control method has a good self-adaptability, robustness and position control response characteristics in variable load applications.