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Experimental Research on Decoupling Control of Multi-motor Variable Frequency System Based on Neural Network Generalized Inverse

机译:基于神经网络通用逆的多电机变频系统解耦控制试验研究

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Multi-motor variable frequency speed-regulating system is a MIMO, nonlinear, and high coupling control system. Being rightly designed, the generalized inverse can transform the MIMO nonlinear system into a number of SISO linear subsystems with open-loop stability, and then benefits the integration of this tension control system. The generalized reversibility of this multi-motor system working on vector control mode was testified. Consequently, a pseudo-linear system was completed by constructing a neural network generalized inverse system and combining it with two-motor system. Both the open-loop and the closed-loop characteristics of this pseudo-linear system were studied based on S7-300 PLC experiment platform. The experiment results demonstrate that decoupling control with open-loop stability can be reached by neural network generalized inverse (NNGI) control method.
机译:多电机变频调速系统是MIMO,非线性和高耦合控制系统。正则设计,广义逆可以将MIMO非线性系统转换为多个具有开放回路稳定性的SISO线性子系统,然后利益该张力控制系统的集成。作证了在矢量控制模式下工作的这种多电机系统的广义可逆性。因此,通过构造神经网络广义逆系统并将其与双电动机系统组合来完成伪线性系统。基于S7-300 PLC实验平台研究了该伪线性系统的开环和闭环特性。实验结果表明,通过神经网络广义逆(NNGI)控制方法可以达到具有开环稳定性的解耦控制。

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