采用计算智能和滑模控制相融合的轮式驱动电动车牵引控制系统

Traction Control System of Electric Vehicles Based on Fusion of Computationally Intelligent Methodologies and Sliding Mode Control

设计了基于滑模变结构和计算智能融合控制的轮式驱动电动车牵引控制系统。该方案由基于计算智能的控制器迭代形成控制信号,采用滑模控制来训练控制器的参数调整率。研究结果表明,控制器不仅保证了被控系统的运动状态能跟踪理想的运动轨迹,消除了常规滑模控制中存在的颤振现象,而且加强了控制器对系统不确定参数的适应性,从根本上提高了牵引控制系统的鲁棒性。

A traction control system based on fusion of computationally intelligent methodologies and sliding mode control was developed in this paper. The basic idea of the proposed strategy is that the controller provided with computationally intelligent system is trained by using the sliding mode control. Therefore, the controller can guarantee that the movement of the controlled system can follow the ideal moving tracks, the drawback of control chattering occurred in the classical sliding mode control can be alleviated. Moreover, the robustness of systems was improved. The numerical results validate the proposed model and method.