Research on PID Control of Electro-Hydraulic Position Servo Control System Based on SDO Optimization

2014 ◽  
Vol 926-930 ◽  
pp. 1396-1399
Author(s):  
Xiao Dong Yuan ◽  
Yong Chun Xie ◽  
Jian Hui Hua

Abstract. This article introduces the electro-hydraulic position servo control system, establishes its mathematical model and simulates with Simulink, then add PID module, use the empirical method to tune proportional, integral and differential parameters, it is found that adjustment is tedious, and performance improvement is limited. Then use the SDO tools for automatic optimization of PID control parameters, obtained a better simulation results. This tuning method is simple, easy to use, and with good results.

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2727 ◽  
Author(s):  
Yuqi Fan ◽  
Junpeng Shao ◽  
Guitao Sun

To improve the controllability of an electro-hydraulic position servo control system while simultaneously enhancing the anti-jamming ability of a PID controller, a compound PID controller that combines the beetle antennae search algorithm with PID strategy was proposed, and used to drive the position servo control system of the electro-hydraulic servo system. A BAS-PID controller was designed, and the beetle antennae search algorithm was used to tune PID parameters so that the disturbance signal of the system was effectively restrained. Initially, the basic mathematical model of the electro-hydraulic position servo control system was established through theoretical analysis. The transfer function model was obtained by identifying system parameters. Then, the PID parameter-tuning problem was converted into a class of three-dimensional parameter optimization problem, and gains of PID controllers were adjusted using the beetle antennae search algorithm. Finally, by comparing the effectiveness of different algorithms, simulation and experimental results revealed that the BAS-PID controller can greatly enhance the performance of the electro-hydraulic position servo control system and inhibit external disturbances when different interference signals are used to test the system’s robustness.


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