| A long time, PLC offers wide range of automation equipments with very reliable control applications. At the same time, with the development of technology and enlarge scale of productive system, multi-motor synchronous system is widely applied in modern industrial production.With the financial aid of Natural Science Fund of Jiangsu Province, the paper focuses on the multi-variable decoupling control of synchronization system composed of two AC induction motors and transducers——decoupling the synchronically modulating velocity system into velocity and tension subsystems by the application of a-th ANN inverse system method.On the basis of theoretic analysis of the a-th ANN inverse system, the methods, the steps, the design principles and the cautions are proposed to fabricate the a-th ANN inverse system of original system. And then the a-th ANN inverse system of original system is obtained. Cascading the ANN inverse system with the two-motor synchronous system, so the two-motor synchronous system is decoupled into two independent pseudo-linear subsystems——speed subsystem and tension subsystem, then a linear close-loop adjustor is designed to control each of the subsystems.We have designed an experiment platform of two-motor synchronization system, which is controlled by PLC and Supervisory Control and Data Acquisition (SCADA) software——WinCC. Learning and training the neural network, we first adopt off-line training of collection data in Matlab that we can obtain network parameters. Next we adjust these parameters on-line when the system run. Lots of experimental results indicate that this method designed successfully decouples the system into the velocity and the tension subsystem completely and the system has good robustance against the disturbance of the load. The dynamic and static attributions improve obviously and the system can trace any defined route. The promising control method using the a-th ANN inverse system in PLC control system have preferable and applied foreground. |
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