Abstract
This paper investigates a relative coupling control strategy based on the sliding mode controller to solve the problem of poor synergy performance of the axes of the dynamic seat during operation and to realize the multiaxis servo synergic control with variable proportions during the operation of the system. Firstly, the proposed method is theoretically proven to be accurate in eliminating tracking errors and synchronization errors between servos in the process of system operation. Secondly, the system simulation model is built in the Simulink simulation environment of MATLAB. On one hand, the final simulation result verifies the accuracy of the theoretical proof. On the other hand, the control strategy is characterized by fast convergence, high synchronization accuracy, and strong robustness; thus, the system has excellent synergy performance. Finally, the motion control platform of the dynamic seat was built for physical verification. The experimental result shows the effectiveness and feasibility of the control strategy.
Highlights
Multiaxis servo synergic control technology has been widely used in the field of industrial control
With the deepening of research, the limitation was pointed out in [12] that the complexity of the system structure would increase with the increase of the number of motors when the deviation coupling control structure was adopted. e ring coupling control structure proposed in [13] and the adjacent cross-coupling control structure adopted in [14] ensure the synchronous control effect and reduce the complexity of multiaxis servo control
A relative coupling control strategy based on the sliding mode controller is proposed to solve the synergic control problem of the multiaxis servo system under variable proportion conditions. e main conclusions are as follows: (1) a complete theoretical proof against the application of the proposed control strategy in the multiaxis e1 e2 e3
Summary
Multiaxis servo synergic control technology has been widely used in the field of industrial control. Huang et al [19] proposed a coupling multiaxis servo synergic control strategy based on the wavelet neural network to effectively improve the synchronization control accuracy of the system by using the strong learning ability and rapid convergence of the wavelet neural network and combining with the fuzzy PID algorithm. E main contributions of this study are as follows: Firstly, the current research presents a complete theoretical proof of the relative coupling control structure based on a sliding mode controller that can simultaneously realize servo tracking and synchronization controls amongst the servos. This proof provides a theoretical basis for further research. E sixth section shows the main conclusions of this paper
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call