Abstract:This paper presents a comparison between a fuzzy logic controller and a conventional IP controller used for speed control with a direct stator flux orientation control of a doubly fed induction motor. The effectiveness of the proposed control strategy is evaluated under different operating conditions such as of reference speed and for load torque step changes at nominal parameters and in the presence of parameter variation. Simulation results show that the fuzzy logic controller is more robust than a conventio… Show more
“…[26] The generated torque of DFIM can be expressed in terms of stator currents and stator flux linkage as:…”
Section: Dfim Model In the Form Of State Equationmentioning
confidence: 99%
“…In motor mode of DFIM, the stator and rotor currents are measured whereas the stator flux can be estimated [26]. The flux estimation may be obtained by the following equations …”
Abstract:The mean of this paper is fuzzy sliding mode control of a Doubly Fed Induction Motor (DFIM); it's the coupling of the fuzzy logic control and sliding mode control (SMC). The use of the sliding mode method provides very acceptable performance for DFIM control, and the chattering phenomenon effect is also eliminated by the fuzzy logic mode. In the first part, we carried out briefly a study of modeling on the full system. This model is intended to facilitate the procedures for setting and controlling the speed. We introduced the parameter variation to test the robustness of the control laws. The results of our simulations are conducted to validate the theory and indicate that the control performance of the DFIM is satisfactory and the proposed fuzzy sliding mode control (FSMC) can achieve favorable tracking performance.
“…[26] The generated torque of DFIM can be expressed in terms of stator currents and stator flux linkage as:…”
Section: Dfim Model In the Form Of State Equationmentioning
confidence: 99%
“…In motor mode of DFIM, the stator and rotor currents are measured whereas the stator flux can be estimated [26]. The flux estimation may be obtained by the following equations …”
Abstract:The mean of this paper is fuzzy sliding mode control of a Doubly Fed Induction Motor (DFIM); it's the coupling of the fuzzy logic control and sliding mode control (SMC). The use of the sliding mode method provides very acceptable performance for DFIM control, and the chattering phenomenon effect is also eliminated by the fuzzy logic mode. In the first part, we carried out briefly a study of modeling on the full system. This model is intended to facilitate the procedures for setting and controlling the speed. We introduced the parameter variation to test the robustness of the control laws. The results of our simulations are conducted to validate the theory and indicate that the control performance of the DFIM is satisfactory and the proposed fuzzy sliding mode control (FSMC) can achieve favorable tracking performance.
“…[11] The generated torque of DFIM can be expressed in terms of stator currents and stator flux linkage as:…”
Section: Dfim Model In the Form Of State Equationmentioning
confidence: 99%
“…A Speed Sensorless Sliding-Mode Controller for DFIM Drives with Adaptive Backstepping Observer in [10] and Robust Speed Sensorless Control Based on Input-output Feedback Linearization Control Using a Sliding-mode Observer in [11].…”
This paper presents a comparison between an Interval Type-2 Fuzzy Gain-Adaptive IP (IT2FGAIP) controller and a conventional IP controller used for speed control with a direct stator flux orientation control of a doubly fed induction motor. In particular, the introduction part of the paper presents a Direct Stator Flux Orientation Control (DSFOC), the first part of this paper presents a description of the mathematical model of DFIM, and an adaptive IP controller is proposed for the speed control of DFIM in the presence of the variations parametric, A interval type-2 fuzzy inference system is used to adjust in real-time the controller gains. The obtained results show the efficacy of the proposed method.
“…The doubly fed induction machine (DFIM) is a very attractive solution for variable-speed applications such as electric vehicles and electrical energy production. Obviously, the required variable-speed domain and the desired performance depend on the application, [1], [2].…”
In this paper, direct vector control by rotor flux orientation for doubly fed induction motor without mechanical sensor based on the MRAS estimator is discussed, this method consists in developing two models one of reference and the other adjustable for the estimation of the two components of the rotor flux from the measurement of currents, statoric and rotor voltages respectively, the speed estimated is obtained by canceling the difference between the rotor flux of the reference model and the adjustable one, while using the theory of hyperstability to obtain the adaptive mechanism the simulation results are presented to validate the proposed method.
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