Finite-Time Consensus Tracking Control for Speed Sensorless Multi-Motor Systems
Source abstract
Abstract
Considering the unknown compound interference in manufacturing systems, the finite-time tracking and synchronization performance of the multi-motor system significantly affects the production safety, reliability, and quality, which can be considered a multi-agent system with unmeasured speed and uncertainty. In recent years, the synchronous control schemes of the multi-motor system have grown to maturity, but the research on the speed sensorless finite-time consensus tracking control remains to be extended. This paper proposes an observer-based leader–follower consensus tracking control for the synchronous coordination control of the multi-motor system. The speed and position of all motors can be tracked by consensus in a finite time when only some motors realize partial interaction. First, a finite-time observer is designed to estimate the unknown composite disturbance and unmeasurable speed variable of each motor. Second, the distributed finite-time consensus tracking control protocol is designed using the observed value and local information interaction. The stability of the overall closed-loop system is theoretically analyzed based on Lyapunov theory and graph theory, which shows that the consensus tracking error converges to an arbitrary small neighborhood of zero, and all signals are globally bounded in finite time. Finally, simulation results are provided to illustrate the effectiveness of the proposed control method.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Distributed Control Multi-Agent Systems · Iterative Learning Control Systems · Neural Networks Stability and Synchronization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 510000, China
School of Electrical Engineering, Guangxi University, Nanning 530000, China
Funding
National Natural Science Foundation of China · Strategic Priority Research Program of the Chinese Academy of Sciences (class A) · Natural Science Foundation of Guangdong Province · Guangzhou Applied Basic Research Foundation
References (39)
Show source-provided references
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