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由于车辆参数和运行工况的复杂多变 ,针对特定参数和路面条件所设计的防抱死制动系统往往难以适应。为解决这一问题 ,文中首先建立了带有盘式制动器的双轮车辆直线制动系统的数学模型 ;而后提出了模糊自学习控制策略 ,该方案通过引入模糊学习机制以调整模糊控制器的规则集 ,可使车辆对象输出跟踪理想参考模型的输出 ;接着对所设计控制算法在不同路面条件下进行了性能模拟 ;最后开发了模糊自学习微控制器 ,基于硬件在环仿真技术 ,对设计控制器的性能进行了实验验证。
Due to the complexity of vehicle parameters and operating conditions, antilock braking systems designed for specific parameters and road conditions are often difficult to adapt. In order to solve this problem, the mathematical model of two-wheeled vehicle linear brake system with disc brakes is established firstly. Then a fuzzy self-learning control strategy is proposed. The scheme introduces the fuzzy learning mechanism to adjust the rules of fuzzy controller Set, the output of the vehicle object can be tracked to output the ideal reference model; second, the performance of the designed control algorithm under different road conditions is simulated; finally, a fuzzy self-learning microcontroller is developed based on hardware-in-the-loop simulation technology, The performance of the device was experimentally verified.