In this paper, an efficient and fast MPPT power control of photovoltaic systems based on backstepping approach is presented. The proposed control scheme consists of two cascade loops; in the first loop, the auto-scaling variable step-size perturb and observe MPPT technique estimates the reference voltage of all electrical load values. The robust backstepping controller has been adopted to remove steady state oscillations in the second loop. Further, the performance of proposed control system has been analyzed through dSPACE DS-1104 experimental validation with Isofoton photovoltaic module under real climatic conditions at Biskra (Algeria) region. The results obtained by the used controller averred a good improvement.

A model reference adaptive system (MRAS) based speed estimator for sensorless induction motor (IM) drive is proposed in this paper. The MRAS is formed with flux rotor and the estimated stator current vector. The reference model utilizes measured current vector. On the other hand, the adjustable model uses the estimated stator current vector. The current is estimated through the solution of machine state equations. The performance of the estimator under regeneration is an important aspect, which is studied in this paper through the small signal analysis. In this paper, the principle and method of speed estimation and control set-up are described, as well as the results of an experiment that verified the effectiveness of the proposed method.

Stator winding faults are one of most frequent PMSM motor damages resulting from the degradation of the inter-turn, inter-phase and main isolation of the motor winding. So this paper presents a dynamic model for PMSM with inter-turn fault. The faulty model is used for studying the machine behavior and extracting the fault signatures.