Abstract
Interval type-2 fuzzy logic controller (IT2FLC) method for controlling the speed with a direct stator flux orientation control of doubly fed induction motor (DFIM) is proposed. The fuzzy controllers have demonstrated their effectiveness in the control of nonlinear systems, and in many cases it is proved that their robustness and performance are less sensitive to parameters variation over conventional controllers. The synthesis of stabilizing control laws design based on IT2FLC is developed. A comparative analysis between type-1 fuzzy logic controller (T1FLC) and IT2FLC of the DFIM is shown. Simulation results show the feasibility and the effectiveness of the suggested method to the control of the DFIM under different operating conditions such as load torque and in the presence of parameters variation.
Highlights
Since the early years of industrialization, the researchers were faced with “how to control the electric machines at variableT speed.” Electric drives require high performance, increased reliability, and reduced cost
With the field orientation control (FOC) method, induction machine drives are becoming a major candidate in high-performance motion control applications, where servo quality operation is required
T In this problem, vector control by direct stator flux orientation is used in the control of the doubly fed induction machine (DFIM); the bloc diagram of the speed control was replaced by an Interval type-2 fuzzy logic controller (IT2FLC)
Summary
Since the early years of industrialization, the researchers were faced with “how to control the electric machines at variable. With the field orientation control (FOC) method, induction machine drives are becoming a major candidate in high-performance motion control applications, where servo quality operation is required. Type-2 fuzzy logic systems have been used in very few control applications such as nonlinear control and the speed control of machines. A it is still possible to achieve robustness and highly efficient dynamics using a control technique that does not need a detailed model This is the case with the controller presented where an interval type-2 fuzzy logic controller is designed to achieve the speed stabilization. The present work deals with an interval type-2 fuzzy logic controller (IT2FLC) method for controlling the speed of DFIM in a vector control mode. Φs, φr, ls, lr, and M denote stator flux, rotor flux, stator inductance, rotor inductance, and mutual inductance, respectively
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