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Multi-objective optimisation design of passive suspension parameters based on competition-cooperation game model

机译:基于竞争合作博弈模型的被动悬架参数多目标优化设计

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The primary function of a vehicle suspension system is to isolate the road excitations experienced by tires. In this paper, the competition-cooperation game method is applied to optimise a linear vehicle suspension model with eight degrees of freedom. Considering road surface damage and ride comfort, using the stiffness and damping of seat and suspension systems as design variables, and using the seat acceleration root-mean-square, tire's relative dynamic load and suspension's maxim dynamic stroke as objective functions, a competitive and cooperative game design model is established, and the optimal methods are presented. By calculating the influence of the design variables on the objective functions and fuzzy clustering, the design variables are divided into different strategic spaces owned by each player. Based on the competitive and cooperative game model, each game player uses its payoff as a mono-objective to optimise its own strategic spaces and obtains the best strategy to address the others. All the best strategies are combined into a game strategy set. Compared with fuzzy optimisation and initial design, the results show that ride comfort, road surface damage, and suspension dynamic travel are improved.
机译:车辆悬架系统的主要功能是隔离轮胎经历的道路激励。本文采用竞争合作博弈方法对具有八个自由度的线性车辆悬架模型进行优化。考虑到路面损坏和乘坐舒适性,以座椅和悬架系统的刚度和阻尼作为设计变量,并以座椅加速度均方根,轮胎的相对动载荷和悬架的最大动态冲程为目标函数,这是一种竞争性和合作性建立了游戏设计模型,并提出了优化方法。通过计算设计变量对目标函数的影响和模糊聚类,将设计变量划分为每个参与者拥有的不同战略空间。基于竞争与合作博弈模型,每个游戏玩家都将其收益作为一个单目标来优化自己的战略空间,并获得最佳策略来应对其他战略。将所有最佳策略组合到一个游戏策略集中。与模糊优化和初始设计相比,结果表明,乘坐舒适性,路面损坏和悬架动态行驶得到了改善。

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