Control algorithm of a servo platform

doi:10.1007/s11465-010-0098-6

Front. Mech. Eng.

2010, Vol. 5

Issue (3) : 353-355 https://doi.org/10.1007/s11465-010-0098-6

Research articles

Control algorithm of a servo platform

Shouyong XIE¹,Xiwen LI²,Shuzi YANG²,Mingjin YANG³,

1.School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China；College of Engineering and Technology, Southwest University, Chongqing 400715, China; 2.School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; 3.College of Engineering and Technology, Southwest University, Chongqing 400715, China;

Download: PDF(93 KB)
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract According to the characteristics of the movement of a special-purpose three-axis servo platform, this paper presents an improved grey prediction proportional integral derivative (PID) control algorithm. Different weights at different time are given to different sampling moments in the algorithm, and the time meanings of the sample data are paid more attention. Simulation results show that the performance of response and stability of the platform of the improved algorithm is better than that of the traditional one. The control algorithm meets all requirements of the control system of the special-purpose three-axis servo platform.

Keywords grey prediction proportional integral derivative (PID) control improved algorithm weight servo platform

Issue Date: 05 September 2010

Cite this article:

Shouyong XIE,Shuzi YANG,Xiwen LI, et al. Control algorithm of a servo platform[J]. Front. Mech. Eng., 2010, 5(3): 353-355.

URL:

https://academic.hep.com.cn/fme/EN/10.1007/s11465-010-0098-6
https://academic.hep.com.cn/fme/EN/Y2010/V5/I3/353

	Cominos P, Munro N. PID controllers: recent tuning methods and design to specification. In: IEE Proceedings–Control Theory and Applications, 2002, 149(1): 46–53 doi: 10.1049/ip-cta:20020103
	Li Y, Ang K H, Chong G C Y. Patents, software, andhardware for PID control: an overview and analysis of the currentart. IEEE Control Systems Magazine, 2006, 26(1): 42–54 doi: 10.1109/MCS.2006.1580153
	Thomas B. A new pm parameter tuning method for industrial applications. In: The Proceedings of the IFAC Symposium on DesignMethods of Control Systems. Switzerland, 1991, 42–46
	Deng J. Grey Prediction and Grey Decision (revision). Wuhan: Huazhong University of Science and Technology Press, 2002 (in Chinese)
	Ziegler J G, Nichols N B. Optimum settings for automatic controllers. Journal of Dynamic Systems, Measurement, and Control, 1993, 115(2B): 220–223 doi: 10.1115/1.2899060
	Zhong H. Modern Control Theory. Beijing: Higher Education Press, 2004 (in Chinese)
	Sun W, Xu C, Zhu G. Optimization Methods. Beijing: Higher Education Press, 2004 (in Chinese)
	Li N. Study on application of grey PID control theory in diskdrive control system. Modern ElectronicTechnique, 2007, 18: 137–139
	Jiang L, Fu Q. Grey theory of PID control of an aero-engine. Machinery Design and Manufacture, 2006, (5): 129–131 (in Chinese)

[1]	Xiaojun GU, Xiuzhong SU, Jun WANG, Yingjie XU, Jihong ZHU, Weihong ZHANG. Improvement of impact resistance of plain-woven composite by embedding superelastic shape memory alloy wires[J]. Front. Mech. Eng., 2020, 15(4): 547-557.
[2]	Ruiduo YE, Liping WANG, Xiaojie HOU, Zhong LUO, Qingkai HAN. Balancing method without trial weights for rotor systems based on similitude scale model[J]. Front. Mech. Eng., 2018, 13(4): 571-580.
[3]	Xinjun LIU, Xiang CHEN, Zhidong LI. Modular design of typical rigid links in parallel kinematic machines: Classification and topology optimization[J]. Front Mech Eng, 2012, 7(2): 199-209.
[4]	Tzong-Ming WU, Dar-Zen CHEN. Design and preliminary evaluation of an exoskeleton for upper limb resistance training[J]. Front Mech Eng, 2012, 7(2): 188-198.
[5]	Xinjun LIU, Zhidong LI, Liping WANG, Jinsong WANG. Solving topology optimization problems by the Guide-Weight method[J]. Front Mech Eng, 2011, 6(1): 136-150.
[6]	JIN Lianghai, LI Dehua. Improved directional-distance filter[J]. Front. Mech. Eng., 2008, 3(2): 205-211.
[7]	LIANG Xinhua, ZHU Ping, LIN Zhongqin, ZHANG Yan. Acoustic analysis of lightweight auto-body based on finite element method and boundary element method[J]. Front. Mech. Eng., 2007, 2(1): 99-103.

Viewed

Full text

Abstract

Cited

Shared

Discussed