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首页> 外文期刊>The Mediterranean Journal of Measurement and Control >A ROBUST POLE ASSIGNMENT ALGORITHM USING LINEAR QUADRATIC REGULATOR APPLIED TO AN INVERTED PENDULUM
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A ROBUST POLE ASSIGNMENT ALGORITHM USING LINEAR QUADRATIC REGULATOR APPLIED TO AN INVERTED PENDULUM

机译:线性倒数应用线性二次调节器的鲁棒极点分配算法

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摘要

This paper describes the method for stabilizing and trajectory tracking of Self Erecting Single Inverted Pendulum (SESIP) using Linear Quadratic Regulator (LQR). An important advantage of LQR is that it gives a robust system by guaranteeing stability margins, and this property is used to develop an algorithm for locating the robust poles according to the controller specifications. A robust weight selection algorithm is proposed in this paper to determine the appropriate weighting matrices Q and R of LQR to assign the eigen values at the desired locations. When the desired poles lie outside the allowable LQR region, the achievable poles inside the region that are closest to the desired poles are determined by minimizing the eigen value cost difference function. The solution requires a gradient search technique to minimize the difference of weighted eigen value cost function. The steady state and dynamic characteristics of the proposed controller are investigated by conducting experiments on benchmark linear inverted pendulum system. Experimental results prove that the proposed LQR controller can guarantee the inverted pendulum a faster and smoother stabilizing process with less oscillation and better robustness than a conventional PID controller.
机译:本文介绍了使用线性二次调节器(LQR)进行自架设单倒立摆(SESIP)的稳定和轨迹跟踪的方法。 LQR的一个重要优点是,它可以通过保证稳定性裕量来提供一个鲁棒的系统,并且此属性用于开发一种根据控制器规格来确定鲁棒磁极的算法。本文提出了一种鲁棒的权重选择算法,以确定LQR的适当加权矩阵Q和R,以在所需位置分配特征值。当期望极点位于容许LQR区域之外时,通过最小化特征值成本差函数来确定最接近期望极点的区域内的可达到极点。该解决方案需要梯度搜索技术以最小化加权特征值成本函数的差异。通过在基准线性倒立摆系统上进行实验,研究了所提出控制器的稳态和动态特性。实验结果证明,与传统的PID控制器相比,所提出的LQR控制器可以保证倒立摆具有更快,更平稳的稳定过程,并且振荡更少,鲁棒性更好。

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