主動式懸吊系統之DSP為基礎的智慧型控制

Intelligent Control with DSP-Based for Active Suspension Systems

王森麟(Sen-Lin Wang)

指導教授 ： 林百福

國立臺北科技大學/機電學院/車輛工程系所/碩士(2005年)

摘要

本研究設計並建構1/4車液壓伺服主動式懸吊系統來探討其控制性能。因為1/4車主動式懸吊系統有非線性與不確定性的動態特性，使得該系統的數學模式難以被正確地建立，所以要設計一個以模式為基礎的控制器來控制此系統是非常困難的，因此，本研究發展無須模式的智慧型控制策略：(1) 傳統模糊控制器、(2) 自組織模糊控制器與 (3) 以輻射基底函數為基礎之模糊控制器，以控制此系統並探討其控制性能。
除此之外，為了符合實際企業應用，使用數位訊號處理器來發展前述智慧型控制器，以控制主動式懸吊系統。當行駛於較劇烈的路面時，對於提升乘坐舒適性與增進輪胎抓地性，自組織模糊控制器與以輻射基底函數為基礎之模糊控制器皆有比傳統模糊控制器更好的控制性能。

關鍵字

主動式懸吊系統 ； 模糊邏輯 ； 類神經網路 ； 振動抑制 ； 數位訊號處理器 ； 自組織

並列摘要

This work designed and constructed a quarter-car hydraulic-servo active suspension system to explore its control performance. The system has nonlinear dynamic characteristics and uncertainty, so designing a model-based controller to control it is difficult because its mathematical model is hard to establish accurately. Therefore, this study develops model-free intelligent control strategies: (1) traditional fuzzy controller (TFC), (2) self-organizing fuzzy controller (SOFC), and (3) fuzzy controller with radial basis function network (FCRBFN), to control this system for evaluating its control performance.
Moreover, in order to conform to the requirement in the practical industrial application, the digital signal processor (DSP) was employed to develop above intelligent controllers to control the active suspension system. The SOFC and the FCRBFN have better control performance in promoting the ride comfort and enhancing the road-holding capability when the vehicle is traveling on the rough roadway than does the TFC used or the passive suspension control.

並列關鍵字

suspension system ； fuzzy logic ； neural network ； vibration suppression ； digital signal processor ； self-organizing

參考文獻

[1] Sharp, R. S. and Crolla, D. A., "Road vehicle suspension system design - a review," Vehicle System Dynamics, 16, 1987, pp. 167-192.

[2] Pham, A. T. and Ugazio, P., "Basic developments of an active air suspension for passengers cars," SAE paper 890095, 1989.

[3] A.G. Thompson, "An active suspension with optimal linear state feedback," Vehicle System Dynamics 5, 1976, pp. 187-203.

[4] G. Corriga, S. Sanna and G. Usai "An optimum tandem active-passive suspension system for road vehicle with minimum power consumption," IEEE Transactions on Industrial Electronics 38, 1991, pp. 210-216.

[5] Tobata, H., Fukuyama,K., Kimura, T. and Fukushima, N., "Advanced control methods of active suspension," Vehicle System Dynamics, vol. 22, no. 5-6, 1993, pp. 347-358.