Data-Driven Output-Feedback Fault-Tolerant Tracking Control Method and Its Application to a DC Servo System

Data-Driven Output-Feedback Fault-Tolerant Tracking Control Method and Its Application to a DC Servo System
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数据驱动输出反馈容错跟踪控制方法及其在直流伺服系统中的应用

DOI:
10.1109/tmech.2019.2906666
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发表时间:
2019-03
期刊:
IEEE/ASME Transactions on Mechatronics
影响因子:
--
通讯作者:
杨光红
杨光红
中科院分区:
其他
文献类型:
--
作者:
王俊生;杨光红

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研究了具有随机测量和过程噪声的未知离散线性系统的数据驱动输出反馈容错跟踪控制设计问题。借助于提出的基于输入输出数据的在线迭代辨识算法,提出了故障检测策略、性能优化的近似动态规划方法和通过预滤波实现跟踪控制的方法。将所提出的容错控制方案应用于具有负载波动和非线性的实际直流伺服电机系统。最后,通过实验验证了所提出的FTC策略(包括一种补偿负载变化和非线性的方法)比以往工作中需要保持负载恒定并且要求电机在接近线性的小工作区运行的FTC策略具有更好的适用性和实用性。
The paper is concerned with the problem of data-driven output-feedback fault-tolerant tracking control design for unknown discrete-time linear systems with stochastic measurement and process noise. With the aid of a proposed input-output data-based online iterative identification algorithm, this study presents a fault detection strategy, an approximate dynamic programming approach to performance optimization, and a method for the achievement of tracking control via a pre-filter. The resulting fault-tolerant control (FTC) scheme is applied to a practical DC servo motor system with load fluctuations and nonlinearity. Finally, the experimental test demonstrates that the proposed FTC strategy (including a methodology for compensating load variations and nonlinearity) has better applicability and practicability than the one given by the previous work, where a load needs to be held constant and it is required that the motor run in a nearly linear small working region.
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