本研究引用人體機械模型進行1/4車輛模型與1/2車輛模型之主動式懸吊系統設計。文中以乘員頭部之垂直加速度均方根值做為舒適性之指標，並以ISO 2631-1（1985）之全身性振動極限做為人體長時間暴露於振動環境之規範。
在設計主動式懸吊系統時，導入遺傳演算法與模糊控制理論，運用遺傳演算法調整模糊控制器之控制參數，並以乘員頭部之垂直加速度及乘員頭部垂直加速度變化為控制器之回授，以降低乘員頭部加速度均方根值為設計目標。
數值模擬結果顯示，在特定車速及不規則路面下，以降低乘員頭部加速度為目標所設計之主動式車輛懸吊系統，其對於乘員身體其他部位及在不同車速亦有同等程度之改善成效。而且本主動式懸吊系統不論在不規則路面或步階路面上，對於乘員之舒適性皆有明顯之改善。

This thesis cites the human body mechanical model as the basis of the design of active suspension system using the 1/4 vehicle model and 1/2 vehicle model. The study considers the root mean square value of vertical acceleration of the passenger head as indicators of comfort referred to the whole-body vibration limit of ISO 2631-1(1985) to specify the human-body exposure to vibration environment.
The design of active suspension systems combines the genetic algorithm with fuzzy control theory. The genetic algorithm is used to adjust the control parameters of fuzzy controller. The fuzzy controller uses the vertical acceleration of passenger head, and its rate of change as feedback to reduce the mean square value of the vertical acceleration of passenger head.
The numerical results show that although the active suspension system of vehicle is designed mainly to reduce the passenger head acceleration at a specified speed travelling on an irregular road, it also provides the same improvement level for the other parts of body and different travelling speeds. And the active suspension systems have obvious improvements on the comfort of passengers regardless of the irregular road or the step road.

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