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Fuzzy Adaptive Control for Direct Torque in Electric Vehicle Medjdoub khessam; Abdeldejbar Hazzab; Bouchiba Bousmaha; M Bendjima
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 4, No 4: December 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper presents a technique to control the electric vehicle (EV) speed and torque at any curve. Our propulsion model consist of two permanent magnet synchronous (PMSM) motors. The fuzzy adaptive PI controller is used to adjust the different static error constants, as per the speed error. The suggested based on the direct torque fuzzy control (DTFC). A Mamdani type fuzzy direct torque controller is first developed and then rules are modified using stator current membership functions. The computations are ensured by the electronic differential, this driving process permit to steer each driving wheels at any curve separately.Modeling and simulation are carried out using the Matlab/Simulink tool to investigate the performance of the proposed system.DOI: http://dx.doi.org/10.11591/ijpeds.v4i4.6372
Speed Synchronization of web winding System with Sliding Mode Control Hachemi Glaoui; Abdeldejbar Hazzab; Bousmaha Bouchiba; Ismaïl Khalil Bousserhane
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 3, No 2: June 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

A continuous web winding system is a large-scale, complex interconnected dynamic system with numerous tension zones to transport the web while processing it. There are two control schemes for large-scale system control: the centralized scheme and the decentralized scheme. Centralized control is the traditional control method, which considers all the information about the system to be a single dynamic model and design a control system for this model. A speed synchronization control strategy for multiple induction motors, based on adjacent cross-coupling control structure, is developed by employing total sliding mode control method. The proposed control strategy is to stabilize speed tracking of each induction motor while synchronizing its speed with the speed of the other motors so as to make speed synchronization error amongst induction motors converge to zero. The global stability and the convergence of the designed controller are proved by using Lyapunov method. Simulation results demonstrate the effectiveness of the proposed method.DOI: http://dx.doi.org/10.11591/ijpeds.v3i2.2432