Electrohydraulic positioning systems (EHPs) become a preferred choice to conventional hydraulic actuation systems having valve control mechanisms due to their various benefits, making them a better choice for applications needing highly precise and accurate force/position control. However, because of their nonlinear complexity, modeling and controlling EHPs provide significant challenges. To solve these difficulties, mathematical model-based control methods are frequently utilized. However, such a method demands an adequate understanding of the system's characteristics, which is not always accessible, particularly in severe industrial situations, in that scenario Fuzzy-based controllers are highly effective. In this study, the PID control strategy and the fuzzy-PID control strategy were utilized to tune the gain parameters to control the actuator position. In comparison to a standard PID controller, the experimental findings show that fuzzy-PID responses are smoother and more accurate. In order to evaluate controller performance, it is observed that by using the fuzzy-PID controller, around 30% reductions in performance index IAE is found compared to the standard PID controller for loading and no loading conditions.

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Position Control of Electrohydraulic Positioning System Using PID and Fuzzy-PID Controller

  • Gulshan Kumar,
  • Nimai Pada Mandal

摘要

Electrohydraulic positioning systems (EHPs) become a preferred choice to conventional hydraulic actuation systems having valve control mechanisms due to their various benefits, making them a better choice for applications needing highly precise and accurate force/position control. However, because of their nonlinear complexity, modeling and controlling EHPs provide significant challenges. To solve these difficulties, mathematical model-based control methods are frequently utilized. However, such a method demands an adequate understanding of the system's characteristics, which is not always accessible, particularly in severe industrial situations, in that scenario Fuzzy-based controllers are highly effective. In this study, the PID control strategy and the fuzzy-PID control strategy were utilized to tune the gain parameters to control the actuator position. In comparison to a standard PID controller, the experimental findings show that fuzzy-PID responses are smoother and more accurate. In order to evaluate controller performance, it is observed that by using the fuzzy-PID controller, around 30% reductions in performance index IAE is found compared to the standard PID controller for loading and no loading conditions.