Ahmed Tahour

Sliding Controller of Switched Reluctance Motor

This paper presents an application of sliding mode control for switched reluctance motor (SRM) speed. The sliding mode technique finds its stronger justification in the utilization of a robust control law to model uncertainties. A sliding mode controller of the motor speed is then designed and simulated. Digital simulation results shows that the designed sliding speed controller realises a good dynamic behaviour of the motor, a perfect speed tracking with no overshoot and a good rejection of impact loads disturbance. The results of applying the sliding mode controller to a SRM give best performances and high robustness than those obtained by the application of a conventional controller (PI).

A fuzzy sliding mode-based power control design for wind turbine

These last years, the use of wind energy has increased considerably. In this paper, the model of the wind electrical conversion system (WECS) is developed. The considered WECS is composed of an induction generator connected to the wind turbine. The goal of this paper is to control the power generated by the WECS to the grid. We propose a new control strategy based on fuzzy logic and sliding mode in order to control the power of the WECS transmitted to the grid and to make the WECS adaptable to different constraints. A Simulation study is done to prove the validation of the strategy used in power control. Conclusions are summarized in the last section.

Application of Fuzzy Logic in Control of Electrical Machines

During the past decades, fuzzy logic control (FLC) has been one of the most active and fruitful areas for research in the application of fuzzy set theory. It has has been an active research topic in automation and control theory, since the work of Mamdani proposed in 1974 based on the fuzzy sets theory of Zadeh (1965), to deal with the system control problems which is not easy to be modeled [Mamdani E.H. 1974].

Variable Speed Drive of Wind Turbine Based on Synchronous Generator

Motivated by the development of wind turbine structures, the use of wind energy is increasing in these last years. The voltage generated by the wind turbine varies greatly throughout the day; it depends on the power available in the wind and has the same variations. In this paper we develop a model of the wind and propose a study of the electrical parts based on synchronous machine and static converter. This study is developed on a wind conversion system which can produce a constant voltage to the network and provide systems for correcting voltages. Simulation results are given to show the effectiveness of this controller. Conclusions are summarized in the last section.

Adaptive Neuro-Fuzzy Controller for Synchronous Motor

This paper presents an application of Adaptive Neuro-Fuzzy (ANF) control for synchronous motor (SM) speed. The ANF has the advantages of expert knowledge of the fuzzy inference system and the learning capabilities of neural networks. An adaptive neuro-fuzzy controller of the motor speed is then designed and simulated. Digital simulation results show that the designed ANF speed controller realizes a good dynamic behaviour of the motor, a perfect speed tracking with no overshoot and a good rejection of load disturbances. The results of applying the adaptive neuro-fuzzy controller to a SM give better performance and high robustness than those obtained by the application of a conventional controller.

Application of fuzzy sliding mode technique in controller and observer of synchronous motor

In this paper, we develop a fuzzy sliding mode technique to control the field-oriented synchronous machine and to estimate the motor speed. The sliding mode controller (SMC) is designed for a class of non linear dynamic systems to tackle the problems with model uncertainties, parameter fluctuations and external disturbances. In SMC, the high frequency chattering phenomenon results from the discontinuous term in traditional sliding mode control is highly undesirable. In this paper we use the fuzzy logic to reduce the chattering phenomena. The system stability analysis is carried out using Lyapunov stability theorem. An asymptotically stable observer is designed to overcome the problem of speed sensor and is obtained without affecting the overall system response. The simulation results show the effectiveness of the proposed control strategy with desired tracking accuracy and robustness.

Nonlinear Integral Backstepping Control of Wind Energy Conversion System Based on a Double-Fed Induction Generator

In this paper, a decoupling control strategy has been applied to control the active and reactive powers generated by a Double Feed Induction Generator (DFIG). We propose a robust nonlinear control based on Backstepping with integral actions in order to control the power of the wind turbine transmitted to the grid and to make the wind turbine adaptable to different constraints. The proposed control laws are derived from the Lyapunov approach which is well suited for this nonlinear system. Furthermore, the proposed integral backstepping control is compared with the classical backstepping controller. The results obtained by simulation prove the effectiveness of the control strategies in terms of decoupling, robustness and dynamic performance for different operating conditions

Synchronous motor speed control based on ANFIS methodology and sliding mode observer

The application of artificial intelligence has become an important topic in electrical machines control. This paper presents an application of neuro-fuzzy NF control for synchronous motor SM speed. The NF has the advantages of expert knowledge of the fuzzy inference system and the learning capabilities of neural networks. A neuro-fuzzy controller of the motor speed is then designed and simulated. An asymptotically stable observer is designed to overcome the problem of speed sensor and is obtained without affecting the overall system response. Digital simulation results show that the designed NF speed controller realises a good dynamic behaviour of the motor, a perfect speed tracking with no overshoot and a good rejection of load disturbances.

A Fuzzy-PI Control Technique Designed for Power Control of Wind Turbine Based on Induction Generator

In this paper, we develop the overall model of the wind energy conversion systems (WECS) structure based on induction generator (IG). The goal of this paper is to control the power generated by the WECS and transmitted to the grid. We propose a new control strategy based on fuzzy logic in order to control the power of the WECS. The main drawback is that the WECS is highly nonlinear. An adaptive Fuzzy-PI power controller is proposed to overcome this problem. A Simulation study is done to validate the strategy used in power control.