Research On The Fuzzy Control Of Electro-Hydraulic Velocity Servo System

In this paper, fuzzy control preliminary theoretical research on the basis of the success of fuzzy control theory is applied to speed electro-hydraulic servo system, and get some useful conclusions.Chapter II of automatic cutting machine straight to the original hydraulic system improvements, design corresponding to the speed electro-hydraulic servo system, and the system analysis and modeling. Chapter III on the electrohydraulic servo system speed stability analysis, PID control strategy to correction system. PID control parameters which the setting is the use of cut-and-try method and pole configuration; Design of digital PID control. Simulation studies have shown that the PID control parameter tuning trouble robust performance shortcomings such as poor.Chapter IV, V, respectively introduced in the paper, the application of fuzzy math to the basic principles of the theory of fuzzy control, including fuzzy controller design method and the control parameters on the system performance impact.Chapter VI fuzzy control theory conventional fuzzy controller design, Although conventional fuzzy controller has good dynamic performance, but steady precision. The conventional fuzzy controller inadequate analysis of its causes, from different angles in a targeted manner to conventional fuzzy controller proposed improvement measures. Incremental fuzzy controller on the system's output rods used to improve a small-signal characteristics of integrator; Self-adjustment factor fuzzy controller according to system error and error variation fuzzy controller automatically adjust the control rule; Dual-fuzzy-fuzzy PID controller in error within the fuzzy controller, In small error within the scope of PID control, Two control mode switch is based on a pre-determined threshold value error control. Through the various fuzzy controller performance analysis and comparison, fuzzy controller drawn to the stability conditions and applicable occasions.Research compiled by the PID tuning parameters, fuzzy control algorithm and simulation software, and other procedures, for the future of scientific research and production.Analysis and simulation tools used by the application of MATLAB software package.