Bekhada Hamane

Control of wind turbine based on DFIG using Fuzzy-PI and Sliding Mode controllers

This paper presents the study of a wind energy conversion system (WECS) based on a doubly fed induction generator (DFIG) connected to electric power grid. The performances (reference tracking and robustness) of classical Proportional-Integral (PI), Fuzzy-PI and Sliding Mode (SM) controllers are compared with respect to the wind speed fluctuation and the impact on the produced energy quality. Moreover, direct vector control with stator flux orientation of the DFIG is used to control the active and reactive powers between the stator and the grid. The performances of the system were analyzed and compared by simulation using Matlab/Simulink/SimPower Systems.

Comparative analysis of PI and Fuzzy Logic Controllers for Matrix Converter

The aim of this work is to analyze and compare the dynamic performances of two types of controllers (namely, classical Proportional Integral and Fuzzy Logic) for the matrix converter in terms of tracking the reference and robustness. Output signal of the Matrix Converter (MC) is directly affected by unbalanced grid voltage. Some research works have been made to overcome this problem by using Proportional integral (PI) control. However, PI control has a lower performance when it is used in complex and nonlinear systems. Fuzzy logic controller (FLC) has best performances, even in case of strongly nonlinear systems. Therefore, the combination of these two controllers to form a fuzzy supervisory control (FSC) can give better performance to overcome the limitation of PI control in nonlinear systems. In this paper a novel FSC control method is proposed. The FSC performs closed loop control of the output current to improve the performance of the MC powered by unbalanced grid voltage. The whole operating principle, Venturini modulation strategy of MC, PI control and characteristics of FSC are presented. To show the effectiveness of the control methods, the performances of the system are analyzed and compared by simulation using Matlab/Simulink software.

Direct active and reactive power control of DFIG based WECS using PI and sliding mode controllers

This paper presents a power control study of a Wind Energy Conversion System (WECS) based on a Doubly Fed Induction Generator (DFIG) connected to the electric power grid. Proportional-Integral (PI) and Sliding Mode (SM) controls are used to compare the systems performances in terms of reference tracking and robustness to disturbance rejection and with respect to the machine parameters variation. The DFIG control method is based on vector direct control loop with stator flux orientation and the active and reactive powers are controlled PI and sliding mode Simulation studies were performed using Matlab/Simulink/ SimPowerSystems software.

Pitch control of a Wind Energy Conversion System based on Permanent Magnet Synchronous Generator (PMSG)

This paper studies the modelling and control of a Wind Energy Conversion System (WECS) based of a Permanent Magnet Synchronous Generator (PMSG). The amount of energy obtained from a WECS depends not only on the characteristics of the wind operating conditions at the site, but it also depends on the control strategy used for the WECS. In this work, pitch control is used to analyse dynamic mode of WECS. In order to validate the proposed control strategy, the systems main components are modelled and simulations have been performed in Matlab/Simulink/ SimPowerSystems software to confirm the results.

Design and realization of a real-time control platform for quadrotor unmanned aerial vehicles

This paper introduces a custom real-time control platform design for a quadrotor. The control framework is designed to be universal but yet, flexible for implementation of various control and navigation algorithms. The developed platform is modular and is presented in three categories: hardware, software and communication. System identification is also presented for parameters measurement and estimation. Moreover, a ground station with a graphical user interface is designed in Labview for remote control and monitoring, which makes diagnostic easier. A wireless bidirectional communication unit is also designed to bridge the quadrotor and the ground station. The developed cost effective control platform is validated by Matlab/Simulink simulation and experiment through PID control implementation.

Design and investigation of Fuzzy-PI and RST controllers for a high performance matrix converter using Venturini modulation strategy under distorted grid voltage

The purpose of this paper is to design and control the loads current of a Matrix Converter (MC) using both Fuzzy-PI and RST controllers in terms of tracking the reference and robustness. RST controllers present a time delay on the systems transient response. This technique is known to offer lower performance when it is used in complex and nonlinear systems. On the other hand, fuzzy-PI control offers better performance, even in case of highly nonlinear systems. In this paper, a Fuzzy-PI control strategy is proposed as an output current controller to improve the performance of the MC powered by unbalanced and distorted grid voltages. The overall operating principle, Venturini modulation strategy of MC, Fuzzy-PI control and characteristics of RST control are presented. Our investigation shows that the Fuzzy-PI can give better performance to overcome the limitation of RST control in nonlinear systems. To show the effectiveness of the control methods, the performance of the system is analyzed and compared in various operating conditions.

Neural network balance control of hopping robots in flight phase under unknown dynamics

In this paper, a balance control scheme is introduced for hopping robots using neural networks. The control strategy uses a trade-off strategy to achieve both hip and body angle control simultaneously with a single controller, which yields reduced complexity. Hence, the proposed controller allows the hopping robot to track a pre-defined state trajectory in flight-phase despite its modeling uncertainties. The overall dynamics complexity is decreased so that a conventional PID controller can be used for leg extensions length tracking. Unlike other control techniques, no velocity sensor, gyroscope, camera, or body location estimation is needed. Furthermore, no offline learning or a priori system dynamics knowledge is required. Results for different situations highlight the performance of the proposed control approach in compensating for nonlinearities and disturbances.