Multi-objective Optimization on Parameters of Electronically Controlled Air Suspension System
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摘要: 针对传统悬架将结构参数与控制参数分开设计,易造成系统失去全局最优的不足,本文以电子控制空气悬架为例提出一种对其结构/控制参数多目标优化的方法。首先建立了带附加气室空气弹簧和电磁阀式减振器空气悬架数学模型,运用台架试验的方法验证了所建模型的精度。设计了LQR控制器对减振器阻尼力控制,选取带附加气室空气弹簧节流孔尺寸作为优化结构参数,控制器与振动加速度有关的权系数作为优化的控制参数,运用多种群遗传算法分别对系统结构/控制参数多目标优化,控制参数优化,结构参数优化。优化结果显示,相对于系统结构参数与控制参数分开优化,悬架系统结构/控制参数多目标优化后系统性能得到进一步提升。Abstract: In the traditional design method of the suspension system, controller and structural parameters were designed separately, and the global optimum performances of suspension can not be achieved. In this paper, an integrated optimization method of structural and controller parameters is presented for the electronically controlled air suspension (ECAS). Firstly, a model of an ECAS with air spring with auxiliary chamber and solenoid valve damper is built, and the accuracy of the model is checked with bench tests. LQR controller is designed to control the damping force of the shock absorber. Selecting the orifice size of air spring with auxiliary chamber as structural optimization parameter and the acceleration weighting coefficient as the controller optimization parameter, controller parameter optimization and structural parameter optimization are done respectively with multiple population genetic algorithms. Optimization results demonstrate that the suspension system performance is further enhanced after parameters optimization.
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Key words:
- ECAS /
- multi-objective optimization /
- LQG control
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