A multi-motor is known as a mechanism in which separate motors are used for operating different parts of the same machine in industrialplants. 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, thesystem 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 sustainablecontrol method that integrates the Dynamic Surface Control (DSC) algorithm combining an adaptive compensation algorithm using a RadialBasis Function (RBF) neural network, which makes the tension and velocity of the batches approximate to the set value, and helps the systemto be stable with variable parameters. The stability of the system is guaranteed and the effectiveness of the proposed control approach isverified via simulations.