Simulation Research on Fuzzy PID Control for Transmission Shaft Rolling Control System

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Abstract:

The transmission shaft rolling control system is characterized by time-varying and nonlinear properties. To improve the system's dynamic performance and of anti-interference ability, fuzzy PID control is proposed to apply to transmission shaft rolling control system. The mathematical model of the control system is built and a fuzzy PID controller is designed based on the fuzzy control theory. By using MATLAB/Simulink tool for comparison, the simulation results show that the fuzzy PID control compared with the conventional PID control, has improved the system's dynamic response speed by 0.04s. By amplitude 1 interference effect, the system's maximum overshoot is reduced by 3.4%.

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1355-1359

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March 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Tao Yang, Wei Sun, Hongyan Wang. Fatigue Intensity Analysis of the Torsion Bar of a Tank Based on Virtual Prototyping Technique[J]. Journal of Academy of Armored Force Engineering, 2006, 20(3): 1. (In Chinese).

Google Scholar

[2] Hui Li, Baichao Wang, Dashun Zhang, et al. Analysis on influence factors of fatigue life of torsion shaft[J]. Manufacturing Automation, 2010, 32(1): 3. (In Chinese).

Google Scholar

[3] Chunxing Wang. Hydraulic Control System[M]. Beijing: Machinery Industry Press, 1999. (In Chinese).

Google Scholar

[4] Wei Zhu, Xianghuai Dong, Zhiliang Zhang. Modeling of fuzzy control in sheet deep drawing[J]. Control Theory and Applications, 2007, 24(1): 122-126. (In Chinese).

Google Scholar

[5] Xinmin Shi, Zhengqing Hao. Fuzzy Control and MATLAB Simulation[M]. Beijing: Tsinghua University Press, 2008, 121-125. (In Chinese).

Google Scholar

[6] Feng Xing, Ranghui Zhang, Zhifu Wang, et al. Simulation and Experiment Study on Fuzzy PID Controller[J]. Machine Tool and Hydraulics, 2012, 40(10): 147-149. (In Chinese).

Google Scholar

[7] Qiguo Hu, Long Ren. Simulation of Fuzzy-PID Control for Vehicle Anti-Lock Braking System[J]. Journal of Chongqing Jiao tong University(Natural Sciences), 2012, 31(2): 344-352.

Google Scholar

[8] SHI G, YANG S-X, JING Y-X, et al. Design of adaptive fuzzy PID altitude control system for unmanned aerial vehicle [J]. Journal of Beijing Institute of Technology, 2008, 17(1): 58-61.

Google Scholar