GA-based fuzzy PI/PD controller for automotive active suspension system

Yi Pin Kuo; Tzuu Hseng S. Li

doi:10.1109/41.807984

GA-based fuzzy PI/PD controller for automotive active suspension system

Yi Pin Kuo
, Tzuu Hseng S. Li

電機工程學系

研究成果: Article › 同行評審

113 引文斯高帕斯（Scopus）

摘要

A genetic-algorithm (GA)-based fuzzy proportional-plus-integral/proportional-plus-derivative (PI/PD) controller is proposed for an automotive active suspension system (AASS). The fuzzy PI- and PD-type controllers are combined to cope with the different road conditions. By using the merit of GA's, the optimal decision-making rules for both types of controllers are constructed. The real-time simulation results demonstrate that the fusion of GA's and fuzzy controller for an AASS can provide passengers much more ride comfort.

原文	English
頁（從 - 到）	1051-1056
頁數	6
期刊	IEEE Transactions on Industrial Electronics
卷	46
發行號	6
DOIs	https://doi.org/10.1109/41.807984
出版狀態	Published - 1999

All Science Journal Classification (ASJC) codes

控制與系統工程
電氣與電子工程

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10.1109/41.807984

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引用此

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abstract = "A genetic-algorithm (GA)-based fuzzy proportional-plus-integral/proportional-plus-derivative (PI/PD) controller is proposed for an automotive active suspension system (AASS). The fuzzy PI- and PD-type controllers are combined to cope with the different road conditions. By using the merit of GA's, the optimal decision-making rules for both types of controllers are constructed. The real-time simulation results demonstrate that the fusion of GA's and fuzzy controller for an AASS can provide passengers much more ride comfort.",

author = "Kuo, \{Yi Pin\} and Li, \{Tzuu Hseng S.\}",

note = "Funding Information: Manuscript received April 2, 1997; revised July 20, 1998. Abstract published on the Internet August 20, 1999. This work was supported by the National Science Council, Taiwan, R.O.C., under Contract NSC87-2218-E006-035.",

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N2 - A genetic-algorithm (GA)-based fuzzy proportional-plus-integral/proportional-plus-derivative (PI/PD) controller is proposed for an automotive active suspension system (AASS). The fuzzy PI- and PD-type controllers are combined to cope with the different road conditions. By using the merit of GA's, the optimal decision-making rules for both types of controllers are constructed. The real-time simulation results demonstrate that the fusion of GA's and fuzzy controller for an AASS can provide passengers much more ride comfort.

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GA-based fuzzy PI/PD controller for automotive active suspension system

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