scholarly journals Cylinder Position Servo Control Based on Fuzzy PID

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Shibo Cai ◽  
Shunlei Wu ◽  
Guanjun Bao

The arbitrary position control of cylinder has always been the hard challenge in pneumatic system. We try to develop a cylinder position servo control method by combining fuzzy PID with the theoretical model of the proportional valve-controlled cylinder system. The pressure differential equation of cylinder, pressure-flow equation of proportional valve, and moment equilibrium equation of cylinder are established. And the mathematical models of the cylinder driving system are linearized. Then fuzzy PID control algorithm is designed for the cylinder position control, including the detail analysis of fuzzy variables and domain, fuzzy logic rules, and defuzzification. The stability of the proposed fuzzy PID controller is theoretically proved according to the small gain theorem. Experiments for targets position of 250 mm, 300 mm, and 350 mm were done and the results showed that the absolute error of the position control is less than 0.25 mm. And comparative experiment between fuzzy PID and classical PID verified the advantage of the proposed algorithm.

2011 ◽  
Vol 130-134 ◽  
pp. 804-808
Author(s):  
Ren Yi Wan ◽  
Yu Zeng Zhang ◽  
Hong Hui Sun ◽  
Wei Zhou ◽  
Zhuo Jun Chen

In this paper, a synchrodrive scheme for dual linear motors position servo system in gantry moving type milling machine is presented. The feedforward control, disturbance observer and electrical cross coupled control algorithm based on fuzzy PID are applied to the position servo system to counteract the influence of mechanical coupling rapidly, and then meet dynamic synchronized performance in machining. From the simulated, the results show that the proposed control method is effective and yield superior performance.


2013 ◽  
Vol 756-759 ◽  
pp. 284-287
Author(s):  
Jia Xie ◽  
Shi Ming Wang ◽  
Yan Xiang Wu ◽  
Zheng Hui Sha

A control method for position servo control of Transverse flux machine (TFM) by controlling armature current Root-Mean-Square (RMS) and initial phase is proposed in this paper. Specifically, the voltage balance equation of TFM is provided, and the phasor diagrams are analyzed to achieve the expression of electromagnetic power of TFM. The expression indicates that the electromagnetic torque is determined by armature current RMS and the initial phase. A position servo control system of TFM is established based on the expression. The results of the position servo control curves show that the position servo control system of TFM is effective.


2013 ◽  
Vol 694-697 ◽  
pp. 1851-1854
Author(s):  
Li Bing Zhang ◽  
Ting Wu

In order to overcome thelimitation of the position servo control method of computerized numerical control(CNC) system, a control approach of generalized predictive control (GPC) ispresented in this paper. In the method, the GPC model calculates the optimalcontrol rate through the predictive model and rolling optimization as thecontroller of the position servo system. Compared with GPC and proportional-integral-derivative(PID) control, the simulative and experimental results show that the proposedcontrol approach has better the dynamic performance, steady-state performance,and robustness.


2013 ◽  
Vol 846-847 ◽  
pp. 313-316 ◽  
Author(s):  
Xiao Yun Zhang

This paper presented a new method based on the Fuzzy self - adaptive PID for BLDCM. This method overcomes some defects of the traditional PID control. Such as lower control precision and worse anti - jamming performance. It dynamic model of BLDCM was built, and then design method for TS fuzzy PID model is given, At last, it compared simulation results of PID control method with TS Fuzzy PID control method. The results show that the TS Fuzzy PID control method has more excellent dynamic antistatic performances, as well as anti-jamming performance. The experiment shows that TS fuzzy PID control has the stronger adaptability robustness and transplant.


2021 ◽  
Author(s):  
Chao Wei ◽  
Tao Qin ◽  
Xin Meng ◽  
Jinxing Qiu ◽  
Qilong Meng ◽  
...  

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