基于遗传算法优化和模糊控制动态优化的自动变速器换挡规律设计

为提高轻型越野战术车辆的整车动力性，针对车辆的自动变速器换挡规律进行优化设计。依据MATLAB/Simulink的仿真环境，构建基于车速和油门开度双参数换挡规律的整车动力模型。以双参数换挡规律的换挡点为优化对象，采用遗传算法对换挡点进行优化。根据加速度参数能反映车辆纵向动态的特性，引入加速度，采用模糊控制算法对换挡规律进行动态优化设计，构建三参数的模糊控制器。通过仿真模型和实车试验来验证换挡规律优化前后对车辆动力性的影响。结果表明：优化后的控制策略可有效提升车辆的动力性能，能够更加合理分配在动力需求下的发动机和挡位的使用工况，完全满足轻型越野战术车辆复杂路况下对动力性的需求。

Design of Shifting Rules of Automatic Transmission Based on Genetic Algorithm Optimization and Fuzzy Control Dynamic Optimization

The design of shifting rules of vehicle automatic transmission is optimized to improve the overall dynamics of light military wheeled vehicles. According to the simulation environment of MATLAB/Simulink, a vehicle dynamic model based on the two-parameter shifting rule of vehicle speed and throttle opening is constructed. Taking the shift point of the two-parameter shifting rule as the optimization object, the genetic algorithm is used to optimize the shift point. According to the characteristics of that the acceleration parameters can reflect the longitudinal dynamics of vehicle, the acceleration is introduced, and the fuzzy control algorithm is used to dynamically optimize the design of shifting rule, and a three-parameter fuzzy controller is constructed. The simulation model and real vehicle test were used to verify the influence of the shifting rule on vehicle dynamics before and after optimization. The results show that the optimized control strategy can effectively improve the vehicle's dynamic performance, more reasonably allocate the operating conditions of the engine and gear under the power demand, and effectively meet the power demand of military wheeled vehicles under complex road conditions.