本文提出一種基於綜合演算法則之多目標優化方法來輔助設計輕軌車於垂直方向的主動懸吊系統之控制力量參數。此法可同時考慮輕軌車在不平整軌道上的乘坐舒適性、一次懸吊彈簧變形量、二次懸吊彈簧變形量、在爬坡軌道上的一次懸吊彈簧變形量及在爬坡軌道上的二次懸吊彈簧變形量等五項因素，並可對該五項因素作不同權重的選擇及折衝。經由此法可確保輕軌車於不平整軌道或爬坡軌道上的所有懸吊彈簧之總變形量在可允許之變形範圍內。本文將使用適應性倒傳遞模糊H∞綜合控制器，因為在非線性系統下，往往因為狀態估測誤差或干擾，無法確保追蹤誤差在系統的可容許範圍內，所以使用此綜合控制器，可以大大的減少追蹤誤差並將低系統的干擾，及模糊基底函數的估測誤差降低，使得系統在擁有強健性能下，也能有良好的追蹤性能。電腦模擬結果顯示，本文所設計適應性倒傳遞模糊H∞綜合控制器，能使系統在不確定性的環境下，達到預設系統性能之設定。

　　In this study, a systematic and effective optimization scheme is proposed for the design of vertical active suspension force controller of Light Rail Vehicle using Adaptive Neural-Fuzzy H∞ composite Compensator. This design methodology of the active suspension system will simultaneously consider the following stactors : the sitting quality on the LRT under track irregularity , the primary and secondary suspension deflection, due to track irregularity and the gradient factors. By using propose control scheme, the total strains in each suspending system on the LRT can be minimized to an allowable region under the conditions of track irregularity and gradient factor. In this research, an Adaptive Neural-Fuzzy H∞ composite control scheme is proposed to reject the system disturbance and minimize the estimating errors, so that the LTR confortability can be guaranteed. Computer simulation results reveals that the proposed control methodology can achieve the designed performance of the LRT under　environmental uncertainties.

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