摘要
针对电动汽车速度控制模型的非线性和时变性特点,设计了滑模控制器控制车辆速度,使系统具有较强鲁棒性,并通过模糊算法调节滑模控制器切换函数的参数,降低了滑模控制器固有的抖振。切换模糊化处理后的滑模控制器控制输入切换频率大大降低,减少了控制机构的频繁切换,提高了控制机构的稳定性。仿真结果表明,该控制器能准确快速地跟随给定速度,对外部环境变量扰动和自身参数变化扰动具有较好的适应性和较强的鲁棒性。
Electric vehicle＇s longitudinal control model is non-linear and vulnerable to external environment factors.This paper designes a sliding mode controller to improve the control system＇s robustness.What＇s more,this fuzzy controller reduces the inherent chattering of the sliding mode control method by adjusting the parameters of the switch function instantaneity.Compare with the common sliding mode control method,this paper＇s controller is more stable,for this paper＇s controller decreases the frequency of the control system＇s input effectively.Simulation results show that system tracks the desired speed accurately and rapidly,while the system has strong robustness to parameter perturbation and external disturbances.
出处
《计算机与数字工程》
2017年第3期434-438,448,共6页
Computer & Digital Engineering
基金
陕西省国际合作重点项目(编号:2015KW-024)
陕西省工业科技攻关计划项目(编号:2016GY-032)资助
