Study on Improved Fuzzy Immune PID Controller for Maglev Transportation System with Track Irregularity

Article Preview

Abstract:

Track irregularity is one of the most important aspects of the suspension control performance impact in maglev transportation system (MTS). Due to the track irregularity phenomenon of suspension system, the Fuzzy PID(F-PID) control is unable to accurately track irregularity of track changes. Based on the qualitative analysis to MTS, through modifying conventional F-PID controller, the article establishes Fuzzy Immune PID(FI-PID) Controller based on the biological immune system theory. The control strategy designed nonlinear P controller, using the immune algorithm of on-line adjustment of P and the fuzzy control approximating the nonlinear function of the immune P control parameters and the fuzzy control designed the ID controller for adjusting the parameters of I and D for enhancing the robust performance of the suspension system and adapting to the change of track irregularity. Simulation results show that the FI-PID control is confirmed more effectively to realize tracking compared with F-PID, faster response speed, more simple structure, easier operation for the track interference and load disturbance of the suspension system. This provides a very good way to solve the interference problem of orbit of the maglev transportation system.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2825-2831

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Hongyi Li, Jinyong Yu, Hilton C., Honghai Liu. Adaptive Sliding-Mode Control for Nonlinear Active Suspension Vehicle Systems Using T-S Fuzzy Approach[J]. Industrial Electronics. Vol. 60, pp.3328-3338 (2013).

DOI: 10.1109/tie.2012.2202354

Google Scholar

[2] Chin C.S., Wheeler C. Sliding-Mode Control of an Electromagnetic Actuated Conveyance System Using Contactless Sensing[J]. Industrial Electronics. Vol. 60 pp.5315-5324(2013).

DOI: 10.1109/tie.2012.2227909

Google Scholar

[3] Chen A., Byvank T., Vieira G.B., Sooryakumar R. Magnetic Microstructures for Control of Brownian Motion and Microparticle Transport[J]. Magnetics. Vol. 49, pp.300-308(2013).

DOI: 10.1109/tmag.2012.2224850

Google Scholar

[4] Hengkun Liu, Xiao Zhang, Wensen Chang. PID Control to Maglev Train System[C]. Industrial and Information Systems. 341-343(2009).

Google Scholar

[5] Rong-Jong Wai, Jeng-Dao Lee, Kun-Lun Chuang. Real-Time PID Control Strategy for Maglev Transportation System via Particle Swarm Optimization[J]. Industrial Electronics. Vol. 58, pp.629-646(2011).

DOI: 10.1109/tie.2010.2046004

Google Scholar

[6] Xia Yang, Xinye Li, Yan Gao, Bo Yang. Study on Suspension Rigidity Control of lectromagnetic Suspension System Based on NNPID[C]. Intelligent Control and Automation. pp.6118-6122(2008).

DOI: 10.1109/wcica.2008.4592873

Google Scholar

[7] Junyou Yang, Rongbin Sun, Jiefan Cui, Xinping Ding. Application of Composite Fuzzy-PID Algorithm to Suspension System of Maglev Train[C]. Industrial Electronics Society. pp.2502-2505(2004).

DOI: 10.1109/iecon.2004.1432194

Google Scholar

[8] Tongjuan Liu, Xiangguo Ma, Nengqiang Jin. Expert PID control study of Hybrid maglev systems[C]. Mechatronics and Automation. pp.876-880(2009).

DOI: 10.1109/icma.2009.5246301

Google Scholar

[9] Wang Hai-Tao, Jia He-Ming. Study of Immune PID Controller Wood Drying System[C]. Communication Systems and Network Technologies. pp.827-831 (2013).

DOI: 10.1109/csnt.2013.176

Google Scholar

[10] Xuhua Shi, Ting Lan, Jian Ping Hu. PID controller tuning using optimization based on gradient-immune algorithm[C]. Instumentation & Measurement, Sensor Network and Automation. pp.173-175(2012).

DOI: 10.1109/msna.2012.6324541

Google Scholar

[11] Hong Yan, Su Jing-ming, Tang Chao-li, Zhang Vou-neng. Research on brine flux control based on fuzzy immune PID algorithm in freezing station[C]. Computer Science and Automation Engineering. vol. 1, pp.55-59(2012).

DOI: 10.1109/csae.2012.6272547

Google Scholar

[12] Yunde Xie, Wensen Chang: Electromagnetic (EMS) Modeling and Simulation of Maglev Train System in Vertical Direction . Journal of the China Railway Society. Vol. 4, pp.47-54(1996) (in Chinese).

Google Scholar

[13] Liu Tao. Research on Application of artificial immune system and data mining. China University of Mining and Technology press. (2010) (in Chinese).

Google Scholar