主動式懸吊系統之自組織模糊滑動徑向基類神經網路控制器的設計

Design of a Self-Organizing Fuzzy Sliding-Mode Radial Basis-Function Neural-Network Controller for Active Suspension Systems

張志袁(Chih-Yuan Chang)

指導教授 ： 林震

國立臺北科技大學/機電學院/機電整合研究所/碩士(2012年)

https://doi.org/10.6841/NTUT.2012.00123

摘要

主動式懸吊系統一般都具有複雜和非線性的特點,使得該系統的數學模型難以被正確地建立或估測出來,所以很難設計出以模式為基礎的控制器。為了解決問題,本研究發展出自組織模糊滑動徑向基類神經網路控制器(SFSRBNC) 來操控主動式懸吊系統, 以評估其控制性能。該SFSRBNC 解決了自組織模糊控制器(SOFC) 和自組織模糊滑動模式控制器(SFSC) 在參數上選擇的問題。而且該SFSRBNC 也解決了自組織模糊徑向基類神經網路控制器(SFRBNC) 穩定性的問題。經由模擬結果證實, SFSRBNC 比SOFC, SFSC,SFRBNC 以及被動式控制能提供更好的控制性能, 並且也能提高懸吊系統的使用壽命, 乘坐汽車的舒適性以及汽車的操控性。

關鍵字

主動式懸吊系統 ； 模糊控制 ； 自組織 ； 滑動模式 ； 徑向基底函數類神經網路

並列摘要

Active suspension systems generally have complicated and nonlinear characteristics,so it is difficult to design a model-based controller for the control of such systems.
To overcome the difficulty, this study developed a self-organizing fuzzy sliding-mode radial
basis-function neural-network controller (SFSRBNC) to manipulate an active suspension system and then evaluate its control performance. The SFSRBNC not only eliminates
the problem caused by the inappropriate selection of parameters in both a self-organizing fuzzy controller (SOFC) and a self-organizing fuzzy sliding-mode controller (SFSC), but also solves the stability problem of a self-organizing fuzzy radial basis-function neuralnetwork
controller (SFRBNC) application. Simulation results demonstrated that the SFSRBNC achieved better control performance than the SOFC, SFSC, SFRBNC as well as
passive control, in terms of the ride comfort and the road-holding capability of the vehicle,as well as the service life of the suspension system.

並列關鍵字

Active suspension system ； fuzzy control ； self-organizing ； sliding mode ； radial basis-function neural network

參考文獻

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[2] Shian Chen, Ren He, Hongguang Liu, Ming Yao, ”Probe into Necessity of Active Suspension Based on LQG Control ,” Physics Procedia, Vol. 25, 2012, pp. 932-

[3] Weichao Sun, Jinfu Li, Ye Zhao, Huijun Gao, ”Vibration control for active seat suspension systems via dynamic output feedback with limited frequency characteristic,”

Mechatronics, Vol. 21, Issue 1, February 2011, pp. 250-260.

[4] P. C. Chen and A. C. Huang,”Adaptive sliding control of active suspension systems with uncertain hydraulic actuator dynamics.” Vehicle System Dynamics, vol.44