Collaborative Control of Multimotor Systems for Fixed-Time Optimisation Based on Virtual Main-Axis Speed Compensation Structure
Author(s) -
Changfan Zhang,
Mingjie Xiao,
Jing He,
Zhitian Liu,
Xingxing Yang,
Qian Zhang,
Hongrun Chen
Publication year - 2021
Publication title -
complexity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.447
H-Index - 61
eISSN - 1099-0526
pISSN - 1076-2787
DOI - 10.1155/2021/4113022
Subject(s) - control theory (sociology) , computer science , lyapunov stability , convergence (economics) , compensation (psychology) , perturbation (astronomy) , sliding mode control , observer (physics) , control engineering , control (management) , engineering , nonlinear system , psychology , physics , quantum mechanics , artificial intelligence , psychoanalysis , economics , economic growth
In response to the high-speed and high-precision collaborative control requirements of the multimotor system for filling, a new type of virtual master-axis control structure is proposed and a multimotor fixed-time optimized collaborative control algorithm is designed. Firstly, coupling relationship between virtual and slave motors is effectively established by designing a velocity compensation module for the virtual motor. Secondly, the sliding mode observer (SMO) is used to reconstruct the composite disturbance composed of motor parameter perturbation and load disturbance. Finally, the variable gain terminal sliding mode controller (SMC) is designed to ensure that each slave motor can track the given value within a fixed time. The fast convergence of the system can be proved by the fixed-time convergence theorem and Lyapunov’s stability theorem. The simulation results show that, compared with the traditional virtual main-axis control strategy, the proposed method is more effective for the tracking control of each slave motor in the initial stage.
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