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Journal of Control Science and Engineering
Volume 2016, Article ID 5794087, 12 pages
Research Article

New Smith Internal Model Control of Two-Motor Drive System Based on Neural Network Generalized Inverse

School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China

Received 11 November 2015; Accepted 28 January 2016

Academic Editor: Qiao Zhang

Copyright © 2016 Guohai Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Multimotor drive system is widely applied in industrial control system. Considering the characteristics of multi-input multioutput, nonlinear, strong-coupling, and time-varying delay in two-motor drive systems, this paper proposes a new Smith internal model (SIM) control method, which is based on neural network generalized inverse (NNGI). This control strategy adopts the NNGI system to settle the decoupling issue and utilizes the SIM control structure to solve the delay problem. The NNGI method can decouple the original system into several composite pseudolinear subsystems and also complete the pole-zero allocation of subsystems. Furthermore, based on the precise model of pseudolinear system, the proposed SIM control structure is used to compensate the network delay and enhance the interference resisting the ability of the whole system. Both simulation and experimental results are given, verifying that the proposed control strategy can effectively solve the decoupling problem and exhibits the strong robustness to load impact disturbance at various operations.