Two Inductive Motor System Decoupling Control Based On Artificial Neural Networks α-th Order Inverse System Method In PLC Control System

Multi-motor control system is widely used in modern industry .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 ACinduction motors and transducers--decoupling the synchronically modulatingvelocity system into velocity and tension subsystems by the application of α-th ANN inverse system method.On the basis of theoretic analysis of the α-th ANN inverse system, the methods, the steps, the design principles and the cautions are proposed to fabricate the α-th ANN inverse system of original system. And then the α-th ANN inverse system of the two AC induction motors and the transducers constructed. Cascading the ANN inverse system with the two-motor synchronous system, a pseudo-linear system is completed. So the multivariable, nonlinear and coupling two-motor systemis decoupled into two independent linear subsystems--speed subsystem and tensionsubsystem, and then a linear close-loop adjustor is designed to control each of the subsystems.In order to meet the needs of modern industry, we have designed an experiment platform of multi-motor synchronization system, which is controlled by PLC andSupervisory Control and Data Acquisition (SCADA) software -- WinCC. Wehave solved many problems, such as Profibus-DP Fieldbus Communication; data acquisition; off-line training in Matlab; and realization of α-th ANN inverse system in PLC control system, etc. Lots of experimental results manifest that the 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 α-th ANN inverse system in PLC control system propels the theoretical studies and technical application of a-th ANN inverse control.