Application of non-linear observer with simultaneous perturbation stochastic approximation method to single flexible link SMC

J. Martinez, U. Sawut, K. Nakano
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引用次数: 3

Abstract

The main object in this study concerns to vibration control of a one-link flexible arm system. The robot link manipulators are widely used in various industrial applications. A variable structure system (VSS) non-linear observer has been proposed in order to reduce the oscillation in controlling the angular. The non-linear observer parameters are optimized using a novel version of simultaneous perturbation stochastic approximation (SPSA) algorithm. The SPSA algorithm is especially useful when the number of parameters to be adjusted is large, and makes it possible to estimate them very efficiently. As for the vibration and position control, a model reference sliding mode control (MR-SMC) has been proposed. The simulations show that the vibration and position controls of a one-link flexible arm system can be achieved more easy and efficiently with a non-linear observer designed using our proposed modified SPSA algorithm.
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非线性观测器同时摄动随机逼近法在单柔性连杆SMC中的应用
本文的主要研究对象是单连杆柔性臂系统的振动控制。机器人连杆机械手广泛应用于各种工业应用中。提出了一种变结构系统(VSS)非线性观测器,以减少控制角度时的振荡。采用一种新的同步摄动随机逼近算法对非线性观测器参数进行优化。当需要调整的参数数量很大时,SPSA算法特别有用,并且可以非常有效地估计它们。在振动和位置控制方面,提出了模型参考滑模控制(MR-SMC)。仿真结果表明,采用改进的SPSA算法设计的非线性观测器可以更简单有效地实现单连杆柔性臂系统的振动和位置控制。
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