Neural Network Inverse Synchronous Control of Two-motor Variable Frequency Speed-Regulating System

According to the characteristics of an inverter running in V/F mode and two-motor variable frequency speed-regulating system, a united mathematical model of such system is proposed. Such a system is proved to be invertible. A static nerve network and a dynamic nerve network composed of integral are employed to construct the inverse system. A speed linear sub-system and a tension linear sub-system can be obtained by combining such a neural network inverse with the original system. Speed and tension control of two-motor variable frequency speed-regulating system can be decoupled using the proposed neural network inverse synchronous control method, and high-performance speed and tension control can be obtained by designing two additory linear close-loop adjusters. The experimental results show that the static and dynamic performance of the system is very good, and robustness to load disturbance is achieved. The difficult problem of multi-motor synchronous decoupling control can be solved