Systematic Design of Improved Lead-Lag Direct Power Model Predictive Controller for Multilevel Active-Front-End Rectifier: A Comparative Study

2021 ◽  
Author(s):  
Mostafa Abarzadeh ◽  
Armin Ebrahimian ◽  
Waqar A. Khan ◽  
Nathan Weise ◽  
Kamal Al-Haddad
Keyword(s):  
Comparative Study ◽  
Power Model ◽  
Systematic Design ◽  
Direct Power ◽  
Model Predictive Controller ◽  
Front End ◽  
Predictive Controller

Direct Power Control of Dfig by Using Nonlinear Model Predictive Controller

2015 ◽  
Vol 18 (3) ◽  
pp. 985-999 ◽  
Author(s):  
Nasrin Kalamian ◽  
Mohammad Verij Kazemi ◽  
S. Asghar Gholomian
Keyword(s):  
Power Control ◽  
Nonlinear Model ◽  
Direct Power ◽  
Direct Power Control ◽  
Model Predictive Controller ◽  
Predictive Controller

A Comparative Study of the Energy-Saving Controllers for Automotive Air-Conditioning/Refrigeration Systems

2016 ◽  
Vol 139 (1) ◽  
Author(s):  
Yanjun Huang ◽  
Amir Khajepour ◽  
Milad Khazraee ◽  
Majid Bahrami
Keyword(s):  
Sliding Mode Control ◽  
Comparative Study ◽  
Energy Saving ◽  
Air Conditioning ◽  
Sliding Mode ◽  
Model Predictive Controller ◽  
Set Point ◽  
Proportional Integral ◽  
Automotive Air Conditioning ◽  
Predictive Controller

With the extensive application of air-conditioning/refrigeration (A/C-R) systems in homes, industry, and vehicles, many efforts have been put toward the controller development for A/C-R systems. Therefore, this paper proposes an energy-saving model predictive controller (MPC) via a comparative study of several control approaches that could be applied in automotive A/C-R systems. The on/off controller is first presented and used as a basis to compare with others. The conventional proportional-integral (PI) as well as a set-point controller follows. In the set-point controller, the sliding mode control (SMC) strategies are also employed. Then, the MPC is elaborated upon. Finally, the simulation and experimental results under the same scenario are compared to demonstrate how the advanced MPC can bring more benefits in terms of performance and energy saving (10%) over the conventional controllers.

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