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Fuzzy Skyhook Control of A Semi-active Suspension System
Author(s) -
Jeongmok Cho,
Taegeun Jung,
Joongseon Joh
Publication year - 2006
Publication title -
international journal of fuzzy logic and intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.296
H-Index - 9
eISSN - 2093-744X
pISSN - 1598-2645
DOI - 10.5391/ijfis.2006.6.2.121
Subject(s) - skyhook , damper , control theory (sociology) , suspension (topology) , fuzzy logic , fuzzy control system , control (management) , computer science , engineering , control engineering , mathematics , sprung mass , artificial intelligence , homotopy , pure mathematics
In the recent years, the development of computer-controlled suspension dampers and actuators has improved the trade-off between the vehicle handling and ride comfort, and has led to the development of various damper control policies. The skyhook control is an effective control strategy for suppressing vehicle vibration. In this study, a fuzzy skyhook control is proposed and tuned by a genetic algorithm to improve ride comfort. The proposed fuzzy skyhook control is applied to a quarter-car model in order to compare its performance with continuous skyhook suspensions. To obtain optimized fuzzy skyhook control, scale factors and in-out membership functions are tuned by a genetic algorithm. The simulation results show that the fuzzy skyhook control offers more effective suspension performance over the continuous skyhook control.

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