Optimal Intelligent Control for Doubly Fed Induction Generators

Lingqin Xia (), Guang Chen, Tao Wu, Yu Gao, Ardashir Mohammadzadeh () and Ebrahim Ghaderpour ()
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Lingqin Xia: Department of Additive Manufacturing, Zhejiang Institute of Mechanical & Electrical Engineering, Hangzhou 310053, China
Guang Chen: Department of Additive Manufacturing, Zhejiang Institute of Mechanical & Electrical Engineering, Hangzhou 310053, China
Tao Wu: Department of Additive Manufacturing, Zhejiang Institute of Mechanical & Electrical Engineering, Hangzhou 310053, China
Yu Gao: Department of Additive Manufacturing, Zhejiang Institute of Mechanical & Electrical Engineering, Hangzhou 310053, China
Ardashir Mohammadzadeh: Multidisciplinary Center for Infrastructure Engineering, Shenyang University of Technology, Shenyang 110870, China
Ebrahim Ghaderpour: Department of Earth Sciences, Sapienza University of Rome, Piazzale Aldo-Moro, 5, 00185 Rome, Italy

Mathematics, 2022, vol. 11, issue 1, 1-16

Abstract: For the first time, a novel concept of merging computational intelligence (the type-2 fuzzy system) and control theory (optimal control) for regulator and reference tracking in doubly fed induction generators (DFIGs) is proposed in this study. The goal of the control system is the reference tracking of torque and stator reactive power. In this case, the type-2 fuzzy controller is activated to enhance the performance of the optimum control. For instance, in abrupt changes of the reference signal or uncertainty in the parameters, the type-2 fuzzy system performs a complementary function. Both parametric uncertainty and a perturbation signal are used to challenge the control system in the simulation. The findings demonstrate that the presence of a type-2 fuzzy system as an additional controller or compensator significantly enhances the control system. The root mean square error of the suggested method’s threshold was 0.012, quite acceptable for a control system.

Keywords: intelligent control; machine learning; type-2 fuzzy logic; fuzzy systems; stability analysis; adaptive control (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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