摘要
针对磁流变阻尼器现象模型的逆模型建立问题和PID参数整定问题,提出了基于自适应神经模糊推理系统(ANFIS)建立的逆向模型和ANFIS-PID控制器。对1/4车辆半主动磁流变阻尼器悬架和控制系统进行联合仿真,仿真结果表明,与PID控制相比,ANFIS-PID控制有效的改善了簧载质量加速度、悬架动行程和轮胎动变形,表明提出的控制策略是有效的,为半主动磁流变阻尼器悬架的研究提供了一种可行途径。
For the problem to establish the inverse model of MR damper phenomenon model and to adjust PID parameters. Based on Adaptive Neuro Fuzzy Inference System（ ANFIS）,this paper proposes to establish the inverse model and ANFIS-PID controller. To co-simulation a quarter vehicle suspension system with a semiactive magneto rheological（ MR） damper and control system. The results of simulations showthat,compared with PID control,ANFIS-PID control improves effectively the sprung mass acceleration,suspension dynamic travel and dynamic deformation of the tire. It shows that the proposed method is effective,and it provides a possible way for the study of semi-active MR damper suspension.
出处
《组合机床与自动化加工技术》
北大核心
2016年第4期80-82,88,共4页
Modular Machine Tool & Automatic Manufacturing Technique
基金
国家自然科学基金资助项目(51308177)
