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基于遺傳算法和神經(jīng)網(wǎng)絡(luò)的車輛主動懸架控制技
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Technology of Vehicle Active Suspension Based on Genetic Algorithm and Neural Network
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    摘要:

    采用遺傳算法與神經(jīng)網(wǎng)絡(luò)相結(jié)合的控制策略,，以四自由度車輛主動懸架半車模型為仿真對象,，與傳統(tǒng)的被動懸架進(jìn)行控制性能比較,。通過改變神經(jīng)網(wǎng)絡(luò)訓(xùn)練參數(shù),、遺傳算法輸入函數(shù)以及車速,，對系統(tǒng)的響應(yīng)特性進(jìn)行了分析。結(jié)果表明車輛主動懸架控制策略可以減小車輛的振動，改善車輛行駛平順性。

    Abstract:

    An active suspension system of vehicles by using the genetic algorithms and neural network controls strategy has been proposed. A half-car four-degree of freedom suspension vibration model was described. Compared with the conventional passive suspension system, the analysis has been done to the system control performance. The analysis of the system response was obtained through the change of the neural network training coefficients, genetic algorithms input functions and the change of velocity. The simulation results indicated that the vehicle vibration could be reduced and the ride comfort is ameliorated by the proposed suspension systems.

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唐傳茵,李華,周煒,周淑文,趙廣耀.基于遺傳算法和神經(jīng)網(wǎng)絡(luò)的車輛主動懸架控制技[J].農(nóng)業(yè)機(jī)械學(xué)報,2009,40(2):6-11. Technology of Vehicle Active Suspension Based on Genetic Algorithm and Neural Network[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(2):6-11.

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