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机构地区:[1]江苏大学汽车与交通工程学院,镇江212013
出 处:《农业机械学报》2015年第8期319-326,共8页Transactions of the Chinese Society for Agricultural Machinery
基 金:国家自然科学基金资助项目(51275211);江苏省第四期'333工程'科研资助项目(BRA2013217);江苏省普通高校研究生科研创新计划资助项目(CXZZ12_0665);江苏省高校自然科学基金资助项目(14KJB580003)
摘 要:提出了基于模拟退火(SA)修正的改进型粒子群算法(SA-PSO)的转阀参数优化方法。建立了整车动力学模型、转向系统模型、高速'路感'模型和转阀能耗模型,并对模型进行了验证;给出了低速转向轻便性、高速转向'路感'和能耗的量化指标;提出了以轻便性、'路感'和能耗量化指标的平方和根最小值为目标函数,以各参数取值范围为约束条件的最优化问题;构建了基于模拟退火修正的改进型粒子群优化算法(SA-PSO)的自适应度函数,运用改进型粒子群算法获得了转阀参数的全局最优解;SA-PSO与PSO的优化结果对比表明,SA-PSO的全局收敛性强、收敛速度快;通过优化参数与另外两组参数双纽线、高速中间位置小转角转向、转阀能耗仿真验证了优化方法的有效性和优化结果的正确性,最后分别进行了转阀参数优化前、后的双纽线、高速中间位置小转角转向、转阀能耗试验,结果表明,优化后的转阀使转向轻便性、高速转向'路感'和节能性均得到改善。annealing In order to improve comprehensive steering performance, the approach based on simulated modified particle swarm algorithm (SA- PSO) proposed. Models of vehicle dynamics, steering system, for parameters optimization of rotary valve was high-speed road feel and energy consumption were built. The quantitative indexes of low-speed steering portability, high-speed road feel, energy consumption of rotary valve were derived. Optimization problem with minimal root of quadratic sum of the indexes of steering portability, road feel and energy consumption were defined as objective function, and the scope of the parameters as constraints was put forward. The fitness function of particle swarm optimization algorithm (PSO) modified by simulated annealing theory was constructed. The global optimal solution of rotary valve parameters was obtained by using the improved PSO algorithm. SA- PSO and PSO optimization results were presented, which indicated that the improved PSO provided stronger global convergence and faster convergence speed. The correctness of optimization method was verified through contrastive analysis of the steering performance above-mentioned under optimized parameters and other two sets of parameters. Finally, the experiments of lemniscate steering, high-speed steering and energy consumption were carried out. The results demonstrate that comprehensive steering performance is optimal with optimized parameters of rotary valve.
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