scholarly journals The Design of Vehicle Antenna Servo Control System Based on Ziegler Nichols PID Control

Author(s):  
Yueming Dai ◽  
Rui Zhang
2017 ◽  
Vol 14 (1) ◽  
pp. 341-346
Author(s):  
Li Jianying ◽  
Wang Yanwei ◽  
Zhao Zhongqiang ◽  
Wang Xiaojing ◽  
Han Guihua

There is flexibility load in the electro-hydraulic force servo control system researched in this paper, and it results in that there is a lower oscillation frequency secondary differential element in radical of the transmit function of the system. The flexibility load and the secondary differential element seriously impact the bandwidth of the system and let the bandwidth rise difficultly, and that the flexibility load and the secondary differential element make the system oscillation even instability easily. Aiming at this special characteristic and the smaller system gain characteristic of the electrohydraulic force servo control system, the specialist PID control theory applied to the electro-hydraulic force servo control system which is the typical nonlinear system. The mathematic model of the system is built and the simulation and the experiment research is finished in the work of this paper, at the same time, the author of this paper compares the control result of the new controller designed according to the specialist PID control theory with the control result of traditional PID controller. The simulation and the experiment results indicate that the new controller designed according to the specialist PID control theory not only enlarge the bandwidth of system, improve the accuracy, reduce control error, but also accelerate the response speed obviously, increase the dynamic property of the system.


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.


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