Applying Discrete-Time Proportional Integral Observers for State and Disturbance Estimations

Jeang-Lin Chang

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Applying Discrete-Time Proportional Integral Observers for State and Disturbance Estimations

机译：应用离散时间比例积分观测器进行状态和扰动估计

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In this note, we apply the proportional integral observer to simultaneously estimate system states and unknown disturbances for discrete-time nonminimum phase systems. Conditions for providing the existence of such observer are given. When the disturbances do not vary too much between two consecutive sampling instances, the proposed method can render the estimation errors of system states and disturbances to be constrained in a small bounded region. Simulation results support the theoretical developments.

机译：在本说明中，我们应用比例积分观测器来同时估计离散时间非最小相位系统的系统状态和未知干扰。给出了提供这种观察者的条件。当扰动在两个连续采样实例之间变化不大时，所提出的方法可以将系统状态和扰动的估计误差限制在较小的有界区域。仿真结果支持了理论发展。

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来源
《IEEE Transactions on Automatic Control》 |2006年第5期|p.814-818|共5页
作者
Jeang-Lin Chang;
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原文格式 PDF
正文语种 eng
中图分类自动化系统;
关键词
Discrete-time; Disturbance observer; Nonminimum phase; State estimator;

机译：离散时间;干扰观测器;非最小相位;状态估计器;

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1. Discrete-time proportional and integral observer and observer-based controller for systems with both unknown input and output disturbances [J] . Zhiwei Gao, Tim Breikin, Hong Wang Optimal Control Applications and Methods . 2008,第3期

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2. Trade-offs on fault estimation via proportional multiple-integral and multiple-resonant observers for discrete-time systems [J] . Sales-Setien Ester, Penarrocha-Alos Ignacio Control Theory & Applications, IET . 2019,第5期

机译：离散时间系统中通过比例多积分和多共振观测器进行故障估计的权衡
3. Trade-offs on fault estimation via proportional multiple-integral and multiple-resonant observers for discrete-time systems [J] . Sales-Setien Ester, Penarrocha-Alos Ignacio Control Theory & Applications, IET . 2019,第5期

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4. Discrete-time proportional-integral observer and observer-based controller for systems with unknown disturbances [C] . Zhiwei Gao, Breikin Tim, Hong Wang European Control Conference . 2007

机译：具有未知扰动的系统的离散时间比例积分观测器和基于观测器的控制器
5. Proportional integral observer (PIO) design for linear control systems [D] . Dong, Xiaonan. 2016

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7. Proportional and proportional-integral principles of testing the observer error in a full-order state observer applying a lineralized model of an electromechanical object [O] . Aleksandr Glazyrin 2015

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Applying Discrete-Time Proportional Integral Observers for State and Disturbance Estimations

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