Research on PID Position Control of a Hydraulic Servo System Based on Kalman Genetic Optimization

With the wide application of hydraulic servo technology in control systems, requirement position performance is greater and greater. In order to solve problems slow response, poor precision, weak anti-interference ability controls, a Kalman genetic optimization PID controller designed. Firstly, aiming at nonlinear such as internal leakage oil compressibility system, mathematical model system established. By analyzing working characteristics valve cylinder parameters are determined. Secondly, algorithm used search optimal proportional integral differential (PID) gain realize accurate valve-controlled displacement system. Under positioning benchmark step signal sine wave signal, optimized compared simulation established by Simulink. Finally, amplitude fluctuations caused GA reduce influence external disturbances, filtering added disturbances on The results show that designed can be better applied Compared with traditional algorithm, improves system’s response speed accuracy; filter good solution for GA-optimized reduces