The Adaptive Research Of Multi-axis Multi-motor System

With the development of the transmission technology, multi-axis multi-motor drive are widely used in all sectors. In order to be more dynamic and more steady performance in the electrical transmission system, that is, increase the system's adaptability to meet specific system for simultaneous multi-motor system requirements. Multi-motor control technology has become increasingly important. In this paper, the converter tilting system of multi-synchronous motor control technology has been studiedUse closed-loop speed control without encoder technology to control converter tilting of the four electrical systems, master-slave mode from the machine as a reference model in order to host. Various electrical characteristics and model parameters are different, to resolve the differences caused by the mismatch parameters of the problem, using neural network controller optimized control parameters from the machine to make a good host and at the same pace.In the high-speed motor condition the magnetic field can be directly under the EMF was calculated in low-speed (especially near zero frequency), the stator flux calculation more difficult; in the zero-frequency, in theory, the stator flux can not be observed. In response to this problem, this paper analysis of the use of state observer estimates close to zero electrical frequency at the time of flux, control has been greatly improved accuracy.This article describes in detail the multi-motor system, as well as the neural networks in the multi-motor system under the application of analysis of the state observer in the use of closed-loop speed control of motor technology is close to zero-frequency applications, and the use of multiple motor Experiment, experiment results show that the use of intelligent control can significantly increase the number of motor adaptive system.