Adaptive Control Of Hydraulic Position Servo System

In the hydraulic-servo system which we studied in this paper, we make the displacement signal output by hydraulic cylinder as the feedback signal. The hydraulic-servo system has it own intrinsic property, such as the varying of parameter, external load disturbance and has no accuracy mathematical mode. However, adaptive control can erase the effect of model error effectively, interference suppression and inhibit varying parameter. So to obtain perfect controlled result, three different adaptive control methods are adopted to control the position of the hydraulic-servo system.In the process of composing pole assignment self-turning control system, to simplify control algorithm we change the hydraulic-servo system with random disturbance and parametric variables into a system with single input and single output. In addition, for reducing the parametric variables affect the output of the system, we introduced in a feedback controller to improve the performance of the adaptive control, which constitutes the pole assignment self-turning control system together with pole assignment controller.In the process of composing model reference adaptive control system, considering the main performance of the input to the output of the system, we chose states of the input instead of the states of the system when we design the model reference adaptive controller to simplify the structure of the controller. But which does not influence the control precision.In the process of composingδ-MRACS, we change the actual third-order system into first-order system when we design the controller. We used the first-order controller to control the actual third system to simplify the control algorithm and improve the performance of adaptive control system. In addition, for better track the dynamic characteristics of desired output we chose one as the reference mode in the paper.All the three control methods are used in the paper are show better stability and higher precision than traditional control methods through simulation studies under the environment of Matlab7.0.