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Published in: Soft Computing 5/2011

01-05-2011 | Focus

The smooth switching of double modes fuzzy control

Authors: Fang He, Weiming Tong, Shouhua Zhao, Qiang Wang

Published in: Soft Computing | Issue 5/2011

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Abstract

Various multimode controls are more and more widely applied in industry to improve the performance of control systems. Double modes fuzzy control is one of multimode controls, which has two independent and different mode controllers to satisfy different control demands. The smooth switching of different controllers is the key technology in industrial application of multimode modes control. Double modes fuzzy control is used to improve the dynamic and steady-state performances of control systems. This paper focuses on the unsteady problem at switching point of controllers in double modes control system. Three structures of double modes fuzzy control systems are proposed and discussed. The design principles of multimode control are analyzed. Three different switching methods are analyzed and their feasibility is studied. The concept of smooth switching from one controller to another controller is proposed. Especially the smooth switching of fuzzy/PI double modes control is analyzed, and the corresponding fuzzy controller is designed. The simulation of smooth switching at natural switching point of fuzzy/PI double modes control system is carried out in order to prove the superiority of smooth switching at natural switching point. The results of this paper can offer effective reference for other multimode control design.

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Literature
go back to reference Byung SM (1995) Equivalence between fuzzy logic controllers and PI controllers for single input systems. Fuzzy Sets Syst 69(2):105–113 JanCrossRef Byung SM (1995) Equivalence between fuzzy logic controllers and PI controllers for single input systems. Fuzzy Sets Syst 69(2):105–113 JanCrossRef
go back to reference Cheng Q, Zheng Y (2008) Control system of multi-model PID neuron network for ball mill. In: Proceedings of the CSEE 28(2):103–109 Cheng Q, Zheng Y (2008) Control system of multi-model PID neuron network for ball mill. In: Proceedings of the CSEE 28(2):103–109
go back to reference Chun-shien LI, Chun-yi LEE (2003) Self-organizing neural-fuzzy system for control of unknown plants. IEEE Trans Fuzzy Syst 11(1):135–150CrossRef Chun-shien LI, Chun-yi LEE (2003) Self-organizing neural-fuzzy system for control of unknown plants. IEEE Trans Fuzzy Syst 11(1):135–150CrossRef
go back to reference Gang LI, Guangjun Wang (2004) The research and simulation of the fuzzy-PID control system for ball mill pulverizing of power plant. J Chongqing Univ 27(1):107–110 Gang LI, Guangjun Wang (2004) The research and simulation of the fuzzy-PID control system for ball mill pulverizing of power plant. J Chongqing Univ 27(1):107–110
go back to reference Jun-jie GU, Cui-li MI (2006) Internal model control based on multiple models and its application to superheated steam temperature of power plant. J North China Electr Power Univ 33(2):83–86 Jun-jie GU, Cui-li MI (2006) Internal model control based on multiple models and its application to superheated steam temperature of power plant. J North China Electr Power Univ 33(2):83–86
go back to reference Ming-wei LI, Bing-juan LU, Xu-can BAI (2006) Realization of liquid steel level control system based on fuzzy dual-mode control. Comput Eng 32(17):257–258 Ming-wei LI, Bing-juan LU, Xu-can BAI (2006) Realization of liquid steel level control system based on fuzzy dual-mode control. Comput Eng 32(17):257–258
go back to reference Peter Pivonka (2002) Comparative analysis of fuzzy PI/PD/PID controller based on classical PID controller approach. In: Proceedings of the 2002 IEEE world congress on computational intelligence, pp 541–546 Peter Pivonka (2002) Comparative analysis of fuzzy PI/PD/PID controller based on classical PID controller approach. In: Proceedings of the 2002 IEEE world congress on computational intelligence, pp 541–546
go back to reference Prats M, Escobar G, Galvan E (2003) A switching control strategy based on output regulation subspaces for the control of induction motors using a three-level inverter. IEEE Power Electr Lett 1(2):29–32CrossRef Prats M, Escobar G, Galvan E (2003) A switching control strategy based on output regulation subspaces for the control of induction motors using a three-level inverter. IEEE Power Electr Lett 1(2):29–32CrossRef
Metadata
Title
The smooth switching of double modes fuzzy control
Authors
Fang He
Weiming Tong
Shouhua Zhao
Qiang Wang
Publication date
01-05-2011
Publisher
Springer-Verlag
Published in
Soft Computing / Issue 5/2011
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-010-0550-x

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