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

Ying-Qing Guo; Xiu-Mei Zha; Yao-Yu Shen; Yi-Na Wang; Gang Chen

doi:10.3390/act11060162

Actuators (Jun 2022)

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

Ying-Qing Guo,
Xiu-Mei Zha,
Yao-Yu Shen,
Yi-Na Wang,
Gang Chen

Affiliations

Ying-Qing Guo: College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China
Xiu-Mei Zha: College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China
Yao-Yu Shen: College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China
Yi-Na Wang: College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China
Gang Chen: College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China

DOI: https://doi.org/10.3390/act11060162
Journal volume & issue: Vol. 11, no. 6
p. 162

Abstract

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

Published in Actuators

ISSN: 2076-0825 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials; Technology: Electrical engineering. Electronics. Nuclear engineering: Production of electric energy or power. Powerplants. Central stations
Website: http://www.mdpi.com/journal/actuators

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