An Electro-Hydraulic Servo with Intelligent Control Strategy

Abstract

Abstract. Versatile engineering applications have been developed to assist, reduce, and avoid human being from any heavy or harmful manufacturing processes. The gradually increased demand in force and position controls have simultaneously increased the usage of Electro-Hydraulic Servo (EHS) system. However, the time varying characteristics such as high-speed, outburst starting and stopping dynamic have led the EHS system to suffer from uncertainties and nonlinearities effects. Therefore, in order to enhance the performance of an EHS to surmount the uncertain and nonlinear effects, a hybrid Fuzzy-PID control strategy is developed which particularly improve the accuracy of the system by enhancing the control performance during the positioning tracking. By measuring the performance of the proposed control approach, the transient response and steady-state analysis will be performed which taking linear and intelligent control strategies as the references in the assessment process. The finding indicates the capability of a hybrid Fuzzy-PID controller in reducing the control effort applied to the EHS system.

System Identification and Controller Design for Hydraulic Actuator

“…Wonohadidjojo et al proposed a Fuzzy logic controller to overcome the non-linearities and Particle Swarm Optimization (PSO) method used in his research to obtain the best value for tuning its parameters [17]. Saeed et al [12] introduced a hybrid fuzzy PID tracking methodology for the electro-hydraulic servo system from the perspective of heavy manufacturing processes. The aim was to build a nonlinear hybrid controller comprising of a classical PID controller, fuzzy logic controller, and a fuzzy-PID controller based on the self-adjusting modifying factor that significantly improves the robustness of the system and its dynamic and static properties.…”

Adaptive Predictive Control for Torque Applying System of High-powered Test Rig

“…These characteristics include higher power/force generation, lower size of equipment, fast response, improved robustness and good positioning accuracy [3], [4] and [5]. However, these actuators suffer from the existing nonlinearities and time-dependent characteristics, which would result in backlash, friction and increased complexity in modeling [6], [7].…”