Mathematical modeling and control of DFIG-based wind energy system by using optimized linear quadratic regulator weight matrices

2017 ◽  
Vol 27 (11) ◽  
pp. e2416 ◽  
Author(s):  
Ravi Bhushan ◽  
Kalyan Chatterjee
Keyword(s):  
Mathematical Modeling ◽  
Wind Energy ◽  
Linear Quadratic Regulator ◽  
Energy System ◽  
Linear Quadratic ◽  
Modeling And Control ◽  
Wind Energy System ◽  
And Control

Modeling and Control of a Complex Interacting Process

2011 ◽  
Vol 403-408 ◽  
pp. 3758-3762
Author(s):  
Subhajit Patra ◽  
Prabirkumar Saha
Keyword(s):  
Storage System ◽  
Linear Quadratic Regulator ◽  
Model Parameters ◽  
Linear Quadratic ◽  
Modeling And Control ◽  
Dynamic Matrix ◽  
Liquid Storage ◽  
Efficient Control ◽  
And Control

In this paper, two efficient control algorithms are discussed viz., Linear Quadratic Regulator (LQR) and Dynamic Matrix Controller (DMC) and their applicability has been demonstrated through case study with a complex interacting process viz., a laboratory based four tank liquid storage system. The process has Two Input Two Output (TITO) structure and is available for experimental study. A mathematical model of the process has been developed using first principles. Model parameters have been estimated through the experimentation results. The performance of the controllers (LQR and DMC) has been compared to that of industrially more accepted PID controller.

Methodology for optimal design and control of wind energy system based on simplifying assumptions

2021 ◽  
pp. 0309524X2110667
Author(s):  
Souhir Tounsi
Keyword(s):  
Wind Energy ◽  
Energy System ◽  
Chain Structure ◽  
Control Algorithms ◽  
Simulation Environment ◽  
Wind Energy Generation ◽  
Wind Energy System ◽  
Simplifying Assumptions ◽  
The Cost ◽  
And Control

The study presented in this paper concerns the development of a new methodology for design and controlling a wind energy generation chain. This methodology is based on combined Analytical-Finite Element-Experimental method. This type of converter chosen is an AC-DC inverter with IGBTs to improve the robustness of the power chain structure. It offers a reduction of the cost of the power chain and the improvement of the performances of the global studied system, as the control at power factor equal to unity and providing an electromagnetic torque which is added to the useful torque in order to extract the maximal energy. The control algorithms permit to regulate Le charging voltage and current in their rated values considered as optimal battery charging voltage and current. The global model of the power chain is implemented under the Matlab-Sumilink simulation environment for performance and efficiency analysis.

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