Modeling and temperature regulation of a thermally coupled reactor system via internal model control strategy

1993 ◽  
Vol 32 (12) ◽  
pp. 3029-3036 ◽  
Author(s):  
S. Y. Lee ◽  
C. J. Coronella ◽  
A. S. Bhadkamkar ◽  
J. D. Seader
Keyword(s):  
Control Strategy ◽  
Temperature Regulation ◽  
Internal Model ◽  
Internal Model Control ◽  
Reactor System ◽  
Model Control

An internal model control strategy for nonlinear systems

AIChE Journal ◽  
1991 ◽  
Vol 37 (7) ◽  
pp. 1065-1081 ◽  
Author(s):  
Michael A. Henson ◽  
Dale E. Seborg
Keyword(s):  
Nonlinear Systems ◽  
Control Strategy ◽  
Internal Model ◽  
Internal Model Control ◽  
Model Control

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

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Guohai Liu ◽  
Jun Yuan ◽  
Wenxiang Zhao ◽  
Yaojie Mi
Keyword(s):  
Neural Network ◽  
Control Strategy ◽  
Internal Model ◽  
Generalized Inverse ◽  
Control Structure ◽  
Control Method ◽  
Internal Model Control ◽  
Drive System ◽  
Motor Drive ◽  
Model Control

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.

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