CAJ | 학술논문

在电流变液特性试验的基础上,提出基于电流变阻尼悬架的滑模半主动控制.依据滑模控制理论,采用极点配置法确定滑模切换面参数,应用比例切换的控制方法和等速趋近率确定控制律并改善滑模运动的动态品质,同时采用RBF神经网络算法优化滑模控制效果.针对悬架质量参数和车速不确定性,运用MATLAB/SIMULINK进行了悬架半主动控制的建模和仿真分析.仿真结果显示,与被动悬架相比基于RBF神经网络的滑模半主动控制能有效改善悬架性能,对于悬架的不确定性有较好的自适应性.
재전류변액특성시험적기출상,제출기우전류변조니현가적활모반주동공제.의거활모공제이론,채용겁점배치법학정활모절환면삼수,응용비례절환적공제방법화등속추근솔학정공제률병개선활모운동적동태품질,동시채용RBF신경망락산법우화활모공제효과.침대현가질량삼수화차속불학정성,운용MATLAB/SIMULINK진행료현가반주동공제적건모화방진분석.방진결과현시,여피동현가상비기우RBF신경망락적활모반주동공제능유효개선현가성능,대우현가적불학정성유교호적자괄응성.
On basis of the characteristics testing of electro-rheological fluid,this paper presents semi-active control for suspension based on ER damper.According to sliding mode control theory,the parameters of the switching surface are determined by the method of pole assignment.A proportion switching method and an equal near rate is used to amend the dynamic quality of sliding mode motion in the proposed controller.Meanwhile,the RBF neural network arithmetic is introduced to optimize the sliding mode control result.Aiming at suspension parameter and velocity uncertainties,then use MATLAB/SIMULINK software to set up the control model and simulate.The results show that the semi-active control is more effective than the passive control,and sliding mode control of suspension is adaptive.