Nonlinear internal model control: application of inverse model based fuzzy control

2003 ◽  
Vol 11 (6) ◽  
pp. 814-829 ◽  
Author(s):  
R. Boukezzoula ◽  
S. Galichet ◽  
L. Foulloy
Keyword(s):  
Fuzzy Control ◽  
Internal Model ◽  
Inverse Model ◽  
Internal Model Control ◽  
Model Based ◽  
Model Control ◽  
Control Application

Model-Based Gain Scheduling Strategy for an Internal Model Control-Based Boost Pressure Controller in Variable Geometric Turbocharger System of Diesel Engines

2016 ◽  
Vol 138 (3) ◽  
Author(s):  
Seungwoo Hong ◽  
Inseok Park ◽  
Myoungho Sunwoo
Keyword(s):  
Diesel Engines ◽  
Internal Model ◽  
Gain Scheduling ◽  
Internal Model Control ◽  
Operating Conditions ◽  
Boost Pressure ◽  
Scheduling Strategy ◽  
Model Based ◽  
Model Control ◽  
Pressure Controller

This paper proposes a model-based gain scheduling strategy of a Skogestad internal model control (SIMC)-based boost pressure controller for passenger car diesel engines. This gain scheduling strategy is proposed with a new scheduling variable to handle the nonlinear variable geometric turbocharger (VGT) plant characteristics. The scheduling variable is derived from the pressure ratio between the exhaust and intake manifolds and the exhaust air-to-fuel ratio to estimate the static gain of the VGT plant, which varies widely with change in the engine operating conditions. The proposed static gain model was designed with the scheduling variable, engine speed, and fuel injection quantity. Compared to the steady-state experimental data, the static gain model showed an R-squared value of 0.91. The boost pressure controller had the proportional-integral (PI) structure to allow for online calibration, and the PI gains were determined using the SIMC method. The proposed static gain model for the VGT plant was integrated into the SIMC control structure to obtain the appropriate control gains under wide engine operating area. The proposed control algorithm was compared with a fixed gain boost pressure controller through various step tests of the desired boost pressure. The fixed gain controller showed a large overshoot of 64% when the exhaust gas recirculation (EGR) operating condition was changed. In contrast, the proposed gain scheduled boost pressure controller reduced the overshoot to 12%. The model-based gain scheduling strategy successfully adjusted the control gains to achieve consistent control performance under various engine operating conditions.

The Internal Model Control for Nonlinear System Based on LS_SVM

2014 ◽  
Vol 556-562 ◽  
pp. 2410-2413
Author(s):  
Sheng Bo Zhang
Keyword(s):  
Nonlinear System ◽  
Internal Model ◽  
Good Control ◽  
Inverse Model ◽  
Internal Model Control ◽  
Control Performance ◽  
Model Control ◽  
Simulation Results

An internal model and an inverse model of nonlinear system were established based on LS_SVM. On this basis the algorithm of internal model control for nonlinear system based on LS_SVM was put forward. The simulation results show that the internal model and the inverse model of nonlinear have high modeling precision and strong generalization. What’s more the algorithm of internal model control for nonlinear system based on LS_SVM has good control performance, strong anti-jamming ability and robustness.

Boiler Combustion System of Multivariable Internal Model Control Application Research

2013 ◽  
Vol 648 ◽  
pp. 305-310
Author(s):  
Ji Liang Shang ◽  
Da Hai Ren
Keyword(s):  
Internal Model ◽  
Process Model ◽  
Controller Design ◽  
Design Method ◽  
Industrial Process ◽  
Internal Model Control ◽  
Model Control ◽  
Internal Model Controller ◽  
System Output ◽  
Control Application

In the industrial process of common multivariable time delay input/output system, a multivariable decoupling internal model controller design method is put forward based on the internal model control structure, the method for the design of internal model controller has the function of decoupling and controller. The advantage has the ability to achieve approximate or complete decoupling in nominal system output response, the method is used on the multivariable strong coupling of the boiler combustion control system to design and simulation study, the simulation results prove the effectiveness of the method. And in the process model and process mismatch showed strong robustness and anti jamming ability.

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