DocumentCode :
3275485
Title :
A study on Variable Region Variable Step-size LMS adaptive control of distillation columns
Author :
Du, Bin ; Cao, Xi ; Chu, Jizheng
Author_Institution :
Coll. of Inf. Sci. & Technol., Beijing Univ. of Chem. Technol., Beijing, China
fYear :
2011
fDate :
15-17 April 2011
Firstpage :
118
Lastpage :
121
Abstract :
Bused on variable region control theory, a LMS (Least Mean Square) adaptive filtering algorithm with variable step-size is presented in this paper. In this algorithm, the step-size keeps changing with the variation of relational region. It is essential to balance the three main control performance indexes which include initial convergent speed, time-varying system tracking ability and convergence precision. The results from theory researches and simulation studies confirm that the new algorithm achieves such balance. Therefore, both the dynamic and static control characteristics are satisfactory. Finally, a well-known distillation column model is applied to verify the effectiveness of this new control strategy algorithm. The result indicates that the designed controller has simple structure and good control performance.
Keywords :
adaptive control; adaptive filters; control system synthesis; convergence; distillation equipment; least mean squares methods; time-varying systems; velocity control; control strategy algorithm; convergence precision; designed controller; distillation column model; distillation columns; dynamic control characteristics; initial convergent speed; least mean square adaptive filtering algorithm; main control performance indexes; relational region; static control characteristics; time-varying system tracking ability; variable region control theory; variable region variable step-size LMS adaptive control; Adaptation model; Adaptive systems; Control systems; Convergence; Heuristic algorithms; Least squares approximation; Noise; LMS algorithm; distillation column; variable region; variable step size;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
Type :
conf
DOI :
10.1109/ICEICE.2011.5777374
Filename :
5777374
Link To Document :
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