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Research Article

A Kind of Electro-hydraulic Servo System Cooperative Control Simulation: An Experimental Research

Author(s): Bingwei Gao*, Wei Shen, Ye Dai and Wei Wang

Volume 15, Issue 4, 2022

Published on: 20 May, 2022

Page: [309 - 322] Pages: 14

DOI: 10.2174/2352096515666220331143634

Price: $65

Abstract

Background: The single position control or force control of the electro-hydraulic servo system has long been unable to meet the actual needs of production and life. To achieve a good control effect and solve various problems in real life, people no longer only consider a single position control or force control.

Objective: The proposed method provides technical support for multi-objective collaborative control of the electro-hydraulic servo system, completes the requirements of multitasking operation, improves the positioning accuracy and response velocity of the electro-hydraulic servo system, and realizes the synergy between the position and force.

Methods: A control method of the outer loop control of force as feedforward compensation is adopted to realize the coordinated control of force and position based on position control. The position control part adopts the PID control algorithm to ensure real-time response accuracy and positioning accuracy. The outer force loop uses an adaptive fuzzy neural network control algorithm to reduce vibration and shock caused by system instability and nonlinear factors during the force control process.

Results: The control effect of the designed position/force collaborative controller is verified by simulation and experiment. It can effectively reduce the vibration and impact caused by the contact force during the working process of the system, at the same time greatly improving the accuracy of position control and improving the stability of the system.

Conclusion: The designed force/position collaborative control system has a good overall control effect.

Keywords: Electro-hydraulic servo systems, PID control, collaborative control, adaptive fuzzy neural network control, sensor fusion, signal processing algorithms.

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