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A linear model of quarter car active suspension system using composite nonlinear feedback control

机译:复合非线性反馈控制的四分之一汽车主动悬架系统线性模型

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The composite nonlinear feedback (CNF) control technique is successfully applied to design the controller based on control law for an active suspension system. The CNF control law is composed of a linear control law and a nonlinear feedback part. The main idea of CNF is to design the linear control law with a low damping-ratio to achieve fast rising time and to design the nonlinear feedback part to result in a high damping-ratio to remove the overshoot caused by the linear control law when the system controlled output approached the reference. Such the CNF control laws can improve the tracking and regulating performances of the resulting closed-loop systems. The active suspension system is hierarchically divided into two subsystems with the system transformation based on the system structural properties at first and then the CNF control laws are designed for the two subsystems each One of the CNF control laws is designed for tracking control and the other is designed against the mismatching disturbance. The complete control law is made by combining the two CNF control laws and the system transformation. The simulation results show that CNF controller is better than LQR controller and passive model. The computer simulation is done to prove the CNF control performance.
机译:复合非线性反馈(CNF)控制技术已成功应用于基于控制律的主动悬架系统控制器的设计。 CNF控制律由线性控制律和非线性反馈部分组成。 CNF的主要思想是设计具有低阻尼比的线性控制律以实现快速的上升时间,并设计非线性反馈部件以产生较高的阻尼比以消除线性控制律引起的过冲。系统控制的输出接近参考值。这样的CNF控制定律可以改善最终闭环系统的跟踪和调节性能。主动悬架系统首先根据系统的结构特性按系统转换方式分为两个子系统,然后为这两个子系统设计CNF控制律,每个CNF控制律都设计为跟踪控制,而另一个CNF控制律则设计为跟踪控制。针对不匹配的干扰而设计。完整的控制律是通过结合两个CNF控制律和系统转换来制定的。仿真结果表明,CNF控制器优于LQR控制器和被动模型。通过计算机仿真证明了CNF控制性能。

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