本論文主要目的在最佳化之車輛懸吊系統，文中應用粒子群最佳化演算法（PSO）設計一雙A臂式懸吊系統以最小化車輛垂直加速度之均方值，以其作為乘適性的指標，設計變數包括：懸吊彈簧、懸吊阻尼、減震器安裝位置與控制臂長度。以懸吊行程與輪胎接觸力變化的限制條件做為懲罰函數。本最佳化執行流程，採逐次增加設計變數的方式進行，分別討論它們對乘適性與操控穩定性的影響。結果顯示，最佳化懸吊彈簧與懸吊阻尼可有效改善乘適性，但也會降低操控穩定性；而最佳化減震器安裝位置與控制臂長度僅能略為改善乘適性。

The main object of this thesis is to design an optimal vehicle suspension system. In the study the particle swarm optimization（PSO）is applied for the design of a Double-Wishbone type suspension system to minimize the mean square value of the vertical acceleration of the vehicle, which is an index of vehicle comfort. The design variables include the suspension spring constants, the suspension damping constants, the location of shock absorber, and the length of control arms.The constrained conditions of suspension travel and wheel contact force fluctuation which are related to the handling stability are added as the penalty functions. The optimization process are proceeded by increaseing the numbers of design variables one by one to discuss their influences on the ride comfort and handling stability of the vehicle. The results indicate that both the optimum suspension spring constant and the optimum suspension damping constant can improve the ride comfort effectively, but may reduce the handling stability. And the optimum location of shock absorber and the optimum length of control arms can only improve the ride comfort slightly.

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