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SUMMARYThis work describes a new control strategy for active energy flow in a hybrid photovoltaic (PV) system. The method introduces an online energy management by a hierarchical fuzzy controller between energy sources that consist of a photovoltaic panel (PVP), the battery and the load. The fuzzy logic controller has been developed for power splitting between PVP and battery, and it makes decision to choose the switching chain rules and corresponding controller. Simulation test results illustrate improvement in the operation's efficiency of online state of the switches and the battery's state of charge (SOC) has been maintained at a reasonable level.

A robust sliding mode approach combined with a field oriented control (FOC) for induction motor (IM) speed control is presented. The proposed sliding mode control (SMC) design uses an adaptive switching gain and an integrator. This approach guarantees the same robustness and dynamic performance of traditional SMC algorithms. And at the same time, it attenuates the chattering phenomenon, which is the main drawback in actual implementation of this technique. This approach is insensitive to uncertainties and permits to decrease the requirement for the bound of these uncertainties. The stability and robustness of the closedloop system are proven analytically using the Lyapunov synthesis approach. The proposed method attenuates the effect of both uncertainties and external disturbances. Experimental results are presented to validate the effectiveness and the good performance of the developed method.

Field-oriented control was combined to robust sliding mode for motor speed control. A smooth continuous function was added in order to overcome chattering caused by Sliding Mode Controller (SMC). Simulation results showed that improvement made by our approach compared to classical PID control