Design of Vehicle Stability Control System Based on Fuzzy Logic
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摘要: 为对车辆施加合适的制动力以实现车辆极限工况下的稳定,设计了基于模糊算法的稳定性控制器。控制器目标是使横摆角速度和质心侧偏角跟随具有理想操纵特性的二自由度车辆模型输出。直接横摆力矩对横摆角速度具有直接校正作用,在模糊规则设计中着重考虑横摆角速度的控制。采用8自由度整车模型进行换道及J-转向试验表明,该控制器能减小质心侧偏角和横摆角速度与参考模型输出之间的偏差及响应滞后。通过使用Carsim软件,搭建了虚拟试验平台,并进行了双移线道路试验。结果表明:设计的模糊控制器能够提高车辆的操纵稳定性。Abstract: In order to stabilize the vehicle in limited driving conditions,a fuzzy direct yaw moment controller was designed to calculate the proper brake force applied to the relevant wheel.The vehicle stability control system is based on following control method.The side slip angle and yaw rate which indicate the vehicle's stability and handling performance were chosen as the control variables.The response of the vehicle model was selected as the reference value.In order to evaluate the performance of the controller,simulations of lane change and J-turn maneuver were carried out.The results show that the stability and handling performance of the vehicle are improved.
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Key words:
- vehicle stability /
- direct yaw moment /
- fuzzy control /
- nonlinear vehicle model
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