Internal Model Control for Multivariable Coupling System with Time Delays and Optimization Research

Author(s):  
Qibing Jin ◽  
Ling Quan ◽  
Fei Qi ◽  
Xuewei Wang
2012 ◽  
Vol 238 ◽  
pp. 66-70 ◽  
Author(s):  
Ling Quan ◽  
Hai Long Zhang ◽  
Yang Yang

Multivariable non-square systems with time delays widely exist in the chemical production process. Owing to the matrix that is adopted to describe non-square system is not square, many classical multivariable control methods can be hardly applied in such system. In this paper, based on non-square effective relative gain (NERGA), a novel internal model control method is proposed. Firstly the input and output loops of the non-square system are paired using NERGA, and then V-norm internal model controller is designed based on the model of squared subsystem. Finally, smulation study is carried out for a non-square system. The results can demonstrate the effectiveness of the proposed method.


2014 ◽  
Vol 1037 ◽  
pp. 258-263
Author(s):  
Zheng Qi Wang ◽  
Xue Liang Huang

The bearingless induction motor is a nonlinear, multi-variable and strongly coupling system. In this paper, a new nonlinear internal model control (IMC) strategy based on inverse system theory is proposed to realize the decoupling control for the bearingless induction motor. The mathematical model of the motor is built and then the inverse system method is applied to decouple the original nonlinear system. Finally the internal model control method is introduced to ensure the robustness of the closed-loop system. The effectiveness of the proposed strategy are demonstrated by simulation.


Author(s):  
B. Mabu Sarif ◽  
D. V. Ashok Kumar ◽  
M. Venu Gopala Rao

Time delays are generally unavoidable in the designing frameworks for mechanical and electrical systems and so on.. In both continuous and discrete schemes, the existence of delay creates undesirable impacts on the under-thought which forces exacting constraints on attainable execution.The presence of delay confounds the design structure procedure also. It makes continuous systems boundless dimensional and also extends the readings in discrete systems fundamentally. As the Proportional-Integral-Derivative (PID) controller based on internal model control is essential and strong to address the vulnerabilities and aggravations of the model. But for an real industry process, they are less susceptible to noise than the PID controller.It results in just one tuning parameter which is the time constant of the closed-loop system λ, the internal model control filter factor.It additionally gives a decent answer for the procedure with huge time delays. The design of the PID controller based on the internal model control, with approximation of time delay using Pade’ and Taylor’s series is depicted in this paper. The first order filter used in the design provides good set-point tracking along with disturbance rejection.


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