Adaptive dynamic surface control design for soft-link multi-motor drives

Abstract

A multi-motor is known as a mechanism in which separate motors are used for operating different parts of the same machine  in industrial plants. The complex operation of systems, such as steel mills, casting irons, paper production, solar cells, humanoid robots, large excavators, etc., depends on the performance of the multi-motor drive system. These materials are easily damaged if the process is poor. Therefore, the system requires high technology in mechanics and precise control techniques. In addition, because the system has many variable parameters, strong nonlinearity, and is affected by many external noises, there are many challenges in the design process. This paper proposes a sustainable control method that integrates the DSC algorithm combining an adaptive compensation algorithm using an RBF neural network, which makes the tension and velocity of the batches approximate to the set value, and helps the system to be stable with variable parameters. The stability of the system is guaranteed and the effectiveness of of the proposed control approach is verified via simulations.