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建立7自由度整车主动悬架系统模型,并设计H_∞控制器。在此基础上,选取特征量,划分三种不同的值域,经过关联函数计算,建立其H_∞可拓控制器;在不同方案下以经典域和可拓域为博弈双方构造博弈矩阵,获得值域划分纳什平衡点,采用模糊控制规则动态整定可拓域和经典域边界,优化悬架H_∞可拓控制系统的控制性能。最后利用MATLAB/Simulink软件进行仿真,并对其仿真结果进行比较.仿真结果表明,H_∞可拓控制较H_∞控制能更好地改善主动悬架性能,而通过值域博弈的H_∞可拓控制器进一步提高了悬架系统的控制性能。
The 7-DOF vehicle active suspension system model is established and the H_∞ controller is designed. On the basis of this, we choose the characteristic quantity, divide three different value ranges, and establish the H_∞ extension controller through the calculation of the correlation function. Construct the game matrix by using the classical domain and the extension domain as game, The Nash equilibrium point is divided into Nash equilibrium points. Fuzzy control rules are used to dynamically set the boundary between extension domain and classical domain to optimize the control performance of H_∞ extension control system. Finally, the simulation is carried out by using MATLAB / Simulink software and the simulation results are compared.The simulation results show that the H_∞ extension control can improve the active suspension performance better than the H_∞ control, while the H_∞ extension The controller further improves the control performance of the suspension system.