Robust design for locus generating steering mechanism based on Monte Carlo method
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摘要: 對于轉向梯形機構,以轉向過程的運動精度為目標函數,以主銷中心距、軸距、轉向梯形底角和轉向梯形臂長度四個參數作為設計變量,以最小傳動角及最大角度誤差作為約束,建立了基于響應面方法的穩健設計數學模型.應用具有正態分布參數的蒙特卡羅穩健設計方法,對汽車轉向機構進行了優化設計.比較了確定性優化方法與蒙特卡羅方法的設計結果.在轉向角度誤差相差不大的情況下,應用蒙特卡羅方法設計的轉向機構最小傳動角大,系統的傳遞性能及運動性能好,并且當設計變量出現微小變化時,能有效保證轉向系統的運動軌跡.Abstract: A robust mathematical design model based on the response surface method was established for steering trapezoid mechanism. In the model, movement precision during steering course was chosen as the objective function; kingpins distance, axles distance, trapezoid mechanism's bottom angle and steering arm length were defined as the design variables; minimum transmission angle and maximum angle error were considered as the restraint condition. Steering mechanism of a truck was optimum designed by adopting the method of Monte Carlo optimization design with distribution parameters. The results of fixed optimization design and Monte Carlo optimization design were compared. It is shown that the minimum transmitted angle derived from the Monte Carlo optimization design method is larger and the system has well transmitted performance and steering performance while the difference of steering error is small, furthermore movement precision is assured when design variables are little varied.
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Key words:
- steering mechanism /
- robust design /
- locus generating /
- Monte Carlo method
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