摘要
为了对汽车主动悬架系统(ASS)与电动助力转向系统(EPS)进行实时集成控制,应用模糊控制理论和灰色预测理论,设计了一种基于预测步长自调整的灰预测模糊集成控制器。它通过对当前过程状态的模糊判决,实现对灰预测步长的自适应调整,从而改善控制效果。仿真结果表明,与未加控制和ASS与EPS独立控制相比,预测步长自调整的灰预测模糊集成控制更能实时有效地对汽车ASS与EPS进行协调控制,显著提高了汽车的行驶平顺性和操纵稳定性。
In order to realize the integrated real-time control of active suspension system （ASS） and electric power steering （EPS） system, a grey predictive-fuzzy integrated controller with self-adjusting step is designed based on fuzzy control theory and grey prediction theory. By the fuzzy judgment of current state, the controller can adaptively adjust the grey predictive step, and hence improve the control effect. The simulation results show that, compared with separate control or without control, the integrated control scheme proposed can more effectively realize the real-time concerted control on ASS and EPS system, thus markedly enhancing the ride comfort, handling and stability of vehicle.
出处
《汽车工程》
EI
CSCD
北大核心
2009年第2期104-107,共4页
Automotive Engineering
基金
国家自然科学基金(50475121
50875112)
江苏省高新技术项目(BG2004025)
江苏大学高级人才启动项目(07JDG039)资助
关键词
主动悬架
电动助力转向
灰预测
步长自调整
active suspension
electric power steering
grey prediction
step serf-adjusting
