Input weighting optimization for PID controllers based on the adaptive tabu search

Eitelberg introduced a useful method to recover system performance when a direct tuning of the PID's parameters was prohibited in 1987. Our work herein proposes the use of adaptive tabu search (ATS) to optimally tune the input-weight factors according to Eitelberg's. We illustrate the effe...

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Bibliographic Details
Main Authors: Puangdownreong, D., Kulworawanichpong, T., Sujitjorn, S.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive control
Applied sciences
Artificial intelligence
Automatic control
Control systems
Electrical engineering. Electrical power engineering
Electrical equipment industry
Electrical machines
Exact sciences and technology
Industrial control
Programmable control
Regulation and control
System performance
Three-term control
Transfer functions
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Summary:Eitelberg introduced a useful method to recover system performance when a direct tuning of the PID's parameters was prohibited in 1987. Our work herein proposes the use of adaptive tabu search (ATS) to optimally tune the input-weight factors according to Eitelberg's. We illustrate the effectiveness of our proposed method via two motor control problems.
DOI:10.1109/TENCON.2004.1414967