Finite-Time Prescribed Performance Control for Nonlinear Systems With Mismatched Disturbances: An Alternative Nonrecursive Design Approach and Application to PMSM

IF 7.2 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Electronics Pub Date : 2024-10-22 DOI:10.1109/TIE.2024.3472287
Jing Ge;Zhongkun Cao;Jianliang Mao;Kun Liang;Jun Yang;Chuanlin Zhang
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Abstract

This article considers the finite-time prescribed performance control (PPC) problem for a class of nonlinear systems with mismatched disturbances in the presence of output constraints. By integrating a nonrecursive design framework into the PPC process, the proposed nonsmooth methodology alleviates the “explosion of terms” that often occurs in recursive PPC. In addition, aiming to enhance the dynamic performance of a constrained nonlinear system, a novel finite-time performance function is proposed. The final convergence time of tracking error can be predefined, independent of system initial condition and control parameters. Finally, a numerical simulation and a representative position regulation experiment of permanent magnet synchronous motor (PMSM) system validate the effectiveness and simplicity of the proposed nonsmooth control scheme.
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具有不匹配干扰的非线性系统的有限时间规定性能控制:另一种非递归设计方法及其在 PMSM 中的应用
研究了一类具有失匹配扰动的非线性系统在输出约束下的有限时间规定性能控制问题。通过将非递归设计框架集成到PPC过程中,所提出的非光滑方法减轻了递归PPC中经常出现的“术语爆炸”。此外,为了提高约束非线性系统的动态性能,提出了一种新的有限时间性能函数。跟踪误差的最终收敛时间可以预定义,与系统初始条件和控制参数无关。最后,通过对永磁同步电机(PMSM)系统的数值仿真和具有代表性的位置调节实验,验证了所提非光滑控制方案的有效性和简便性。
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来源期刊
IEEE Transactions on Industrial Electronics
IEEE Transactions on Industrial Electronics 工程技术-工程:电子与电气
CiteScore
16.80
自引率
9.10%
发文量
1396
审稿时长
6.3 months
期刊介绍: Journal Name: IEEE Transactions on Industrial Electronics Publication Frequency: Monthly Scope: The scope of IEEE Transactions on Industrial Electronics encompasses the following areas: Applications of electronics, controls, and communications in industrial and manufacturing systems and processes. Power electronics and drive control techniques. System control and signal processing. Fault detection and diagnosis. Power systems. Instrumentation, measurement, and testing. Modeling and simulation. Motion control. Robotics. Sensors and actuators. Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems. Factory automation. Communication and computer networks.
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