基于自适应广义动力学反演的柔性关节车位置控制

IF 2 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Ibrahim M. Mehedi, Mohd Heidir Mohd Shah, Soon Xin Ng, Abdulah Jeza Aljohani, M. El-Hajjar, M. Moinuddin
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引用次数: 0

摘要

本文设计并实现了一种自适应广义动态反演(AGDI)方法,用于线性柔性关节小车(LFJC)系统的位置跟踪和柔性关节的振动抑制。拟议的AGDI控制法将由两个控制元素组成。基线(连续)控制律是基于传统GDI方法的原理,通过规定反映控制目标的被控状态变量的约束动态来建立的。控制律是通过动态缩放Moore-Penrose广义反演实现的。为了增强系统对非线性、参数不确定性和外部扰动的鲁棒性,将基于滑模原理的概念扩充不连续控制律。在不连续控制律中,采用自适应的滑模增益,提高了系统的跟踪性能,降低了抖振。通过引入正定义Lyapunov候选函数,建立了合成控制律的闭环稳定性,从而保证了LFJC系统的半全局渐近姿态跟踪。严格的计算机模拟和实验调查将在Quanser的LFJC系统上进行,以验证所提出的控制方法应用于现实世界问题的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Position Control of Flexible Joint Carts Using Adaptive Generalized Dynamics Inversion
: This paper presents the design and implementation of Adaptive Generalized Dynamic Inversion (AGDI) to track the position of a Linear Flexible Joint Cart (LFJC) system along with vibration suppression of the flexible joint. The proposed AGDI control law will be comprised of two control elements. The baseline (continuous) control law is based on principle of conventional GDI approach and is established by prescribing the constraint dynamics of controlled state variables that reflect the control objec-tives. The control law is realized by inverting the prescribed dynamics using dynamically scaled Moore-Penrose generalized inversion. To boost the robust attributes against system nonlinearities, parametric uncertainties and external perturbations, a discontinuous control law will be augmented which is based on the concept of sliding mode principle. In discontinuous control law, the sliding mode gain is made adaptive in order to achieve improved tracking performance and chattering reduction. The closed-loop stability of resultant control law is established by introducing a positive define Lyapunov candidate function such that semi-global asymptotic attitude tracking of LFJC system is guaranteed. Rigorous computer simulations followed by experimental investigation will be performed on Quanser’s LFJC system to authenticate the feasibility of proposed control approach for its application to real world problems.
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来源期刊
Cmc-computers Materials & Continua
Cmc-computers Materials & Continua 工程技术-材料科学:综合
CiteScore
5.30
自引率
19.40%
发文量
345
审稿时长
1 months
期刊介绍: This journal publishes original research papers in the areas of computer networks, artificial intelligence, big data management, software engineering, multimedia, cyber security, internet of things, materials genome, integrated materials science, data analysis, modeling, and engineering of designing and manufacturing of modern functional and multifunctional materials. Novel high performance computing methods, big data analysis, and artificial intelligence that advance material technologies are especially welcome.
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