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Rail Vehicle Vibrations Control Using Parameters Adaptive PID Controller

机译:使用参数自适应PID控制器的轨道车辆振动控制

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In this study, vertical rail vehicle vibrations are controlled by the use of conventional PID and parameters which are adaptive to PID controllers. A parameters adaptive PID controller is designed to improve the passenger comfort by intuitional usage of this method that renews the parameters online and sensitively under variable track inputs. Sinusoidal vertical rail misalignment and measured real rail irregularity are considered as two different disruptive effects of the system. Active vibration control is applied to the system through the secondary suspension. The active suspension application of rail vehicle is examined by using 5-DOF quarter-rail vehicle model by using Manchester benchmark dynamic parameters. The new parameters of adaptive controller are optimized by means of genetic algorithm toolbox of MATLAB. Simulations are performed at maximum urban transportation speed (90 km/h) of the rail vehicle with ±5% load changes of rail vehicle body to test the robustness of controllers. As a result, superior performance of parameters of adaptive controller is determined in time and frequency domain.
机译:在这项研究中,通过使用常规PID和适用于PID控制器的参数来控制垂直轨道车辆的振动。参数自适应PID控制器旨在通过直观地使用此方法来提高乘客的舒适度,该方法可在线且灵敏地在可变轨道输入下更新参数。正弦垂直轨道未对准和实际轨道不规则性被认为是系统的两种不同破坏作用。主动振动控制通过辅助悬架应用于系统。通过使用曼彻斯特基准动力学参数的5自由度四分之一轨道车辆模型来研究轨道车辆的主动悬架应用。利用MATLAB的遗传算法工具箱对自适应控制器的新参数进行了优化。在轨道车辆的最大城市运输速度(90 km / h)下进行模拟,轨道车辆主体的负载变化为±5%,以测试控制器的鲁棒性。结果,在时域和频域中确定了自适应控制器的参数的优越性能。

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