Aiming at the problems of difficulty in determining the contracting–expanding factor parameters, inability to realize adaptive adjustment of the fuzzy universe, and serious time delay of the system in the traditional variable universe fuzzy control of vehicles, an improved variable universe fuzzy control strategy with real-time adjustment of the contracting–expanding factor parameters is proposed to improve the ride comfort of vehicles. Combining the respective advantages of functional and fuzzy contracting–expanding factors, an adaptive contracting–expanding factor controller is designed according to the system error e(t) and its change rate ec(t) to realize the adaptive adjustment of the system universe, which effectively solves the problem of poor control effect caused by the contracting–expanding factor parameters cannot be adjusted adaptively according to the system feedback information in the traditional variable universe fuzzy control. The effectiveness and adaptability of the proposed algorithm are verified by simulation analysis and scale experiments based on the similarity theory under multiple working conditions. The research results show that the proposed enhanced variable universe fuzzy control based on adaptive contracting–expanding factors has strong adaptability and can effectively improve the ride comfort and handling stability of vehicles under different vehicle speeds and road excitations, which also can provide a certain technical basis for the development of the vehicle active suspension systems.

针对传统车辆变论域模糊控制中收缩-扩张因子参数难以确定、无法实现模糊论域自适应调整、系统时滞严重等问题，提出一种改进的变论域模糊控制策略。提出实时调整收缩-扩张因子参数以提高车辆的乘坐舒适性。结合函数式和模糊收缩扩张因子各自的优点，根据系统误差e ( t )及其变化率ec ( t)设计了自适应收缩扩张因子控制器。）实现了系统论域的自适应调整，有效解决了传统变论域模糊控制中无法根据系统反馈信息自适应调整收缩-扩张因子参数而导致的控制效果不佳的问题。通过基于相似理论的多工况仿真分析和规模实验验证了所提算法的有效性和适应性。研究结果表明，所提出的基于自适应收缩-扩张因子的增强型变论域模糊控制具有较强的适应性，能够有效提高车辆在不同车速和路面激励下的平顺性和操纵稳定性。