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首页> 外文期刊>International Journal of Vehicular Technology >Control of Yaw Disturbance Using Fuzzy Logic Based Yaw Stability Controller
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Control of Yaw Disturbance Using Fuzzy Logic Based Yaw Stability Controller

机译:基于模糊逻辑的偏航稳定控制器控制偏航干扰

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Yaw stability is an important consideration for the vehicle directional stability and handling behavior during emergency maneuvers. In order to maintain the desired path of the vehicle, in presence of disturbances due to cross wind, different road conditions, and tire deflections, a fuzzy logic based yaw stability controller is proposed in this paper. Proposed control system receives yaw rate error, steering angle given by the driver, and side slip angle as inputs, for calculating the additional steering angle as output, for maintaining the yaw stability of the vehicle. As the side slip angle cannot be measured directly in a vehicle, it was estimated using a model based Kalman observer. A two-degrees-of-freedom vehicle model is considered in the present work. The effect of disturbance on yaw rate and yaw rate error of the vehicle is simulated for sinusoidal, step maneuver and compared with the existing fuzzy control system which uses two inputs such as steering angle and yaw rate. The simulation results show better performance of the proposed fuzzy based yaw controller as compared with existing control system. Proposed fuzzy based yaw stability controller can be implemented in steer-by-wire system for an active front steering of a road vehicle.
机译:偏航稳定性是紧急情况下车辆方向稳定性和操纵性能的重要考虑因素。为了保持车辆的期望路径,在由于侧风,不同的路面状况和轮胎变形而引起的干扰的情况下,本文提出了一种基于模糊逻辑的偏航稳定性控制器。提议的控制系统接收横摆率误差,驾驶员给定的转向角和侧滑角作为输入,以计算附加转向角作为输出,以保持车辆的横摆稳定性。由于无法在车辆中直接测量侧滑角,因此使用基于模型的卡尔曼观测器进行了估算。目前的工作考虑了两自由度车辆模型。对于正弦,步进操纵,模拟了扰动对车辆偏航率和偏航率误差的影响,并将其与现有的使用转向角和偏航率两个输入的模糊控制系统进行了比较。仿真结果表明,与现有控制系统相比,所提出的基于模糊的偏航控制器具有更好的性能。提出的基于模糊的偏航稳定性控制器可以在线控转向系统中实现,用于道路车辆的主动前转向。

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