Abstract: In order to improve the ride comfort of the vehicle, the self-adaptive fuzzy PID algorithm of a semi-active suspension was proposed. Taking the two-degree-of-freedom 1/4 vehicle semi-active suspension of full size as the research object, a semi-active suspension model of full size was established by software Adams, and the model self-adaptive fuzzy PID controller was designed. The proposed mechanical model and control algorithm were analyzed by joint simulation analysis technology, and compared with passive suspension and its fuzzy control methods. The results show that: compared with active suspension and passive suspension with fuzzy control, active suspension with self-adaptive fuzzy PID control strategy reduces vehicle body acceleration peak by 5.0% and 2.9%, suspension dynamic stroke by 3.2% and 1.68%, and tire dynamic displacement by 0.29% and 0.25%, respectively. The semi-active suspension based on self-adaptive fuzzy PID algorithm has good effect in improving vehicle ride comfort, and provides an effective method for the study of vehicle ride comfort.

Key words: vehicle engineering, semi-active suspension model of full size, ride comfort, joint simulation, fuzzy PID control

摘要： 为改善汽车的平顺性，提出一种半主动悬架的自适应模糊PID算法；选用二自由度1/4车半主动全尺寸悬架为研究对象，用Adams软件建立半主动悬架全尺寸模型，对模型自适应模糊PID控制器进行设计，利用联合仿真分析技术，对建立的机械模型和控制算法进行分析并与被动悬架及模糊控制方式进行了对比。研究表明：采用自适应糊PID控制策略的主动悬架相对采用模糊控制的主动悬架以及被动悬架，车身加速度峰值分别降低了5.0%和2.9%，悬架动行程分别降低了3.2%和1.68%，轮胎动位移分别降低了0.29%和0.25%。采用自适应模糊PID算法的半主动悬架，在改善汽车的行驶平顺性方面有良好的效果，为研究车辆平顺性研究提供一种有效方法。

关键词: 车辆工程, 半主动悬架全尺寸模型, 平顺性, 联合仿真, 模糊PID控制