Summary This paper presents a modified‐maximum power point tracking (M‐MPPT)‐based application of boost converter to extract the power from photovoltaic (PV) module under the variable solar irradiance and load disturbances. The perturb and observe (P&O)‐based MPPT algorithm suffers from an inherent drift in case of an increment in solar irradiance. This drift is observed during the variation in duty cycle under rapid increment in solar irradiance. Modified drift avoidance P&O‐based MPPT is developed to reject the drift effect by incorporating the current (dI) variation in the algorithm along with the power (dP) and voltage (dV) variation, respectively. The proposed novel drift avoidance P&O M‐MPPT algorithm for boost converter is implemented and compared with the conventional P&O algorithm. The drift free performance is demonstrated for the proposed scheme with adaptive duty cycle (ΔD) technique. The simulation study is carried out in MATLAB/Simulink to predict the performance under variations in solar irradiance and load change. Furthermore, the experimental prototype is used to validate the simulation‐based results. The proposed schemes are implemented using the dSPACE 1104. The steady state and transient results are showing the reduction in time to achieve the maximum power by the proposed technique successfully. The real time results are successfully validating the same theoretical findings in this work.

This paper develops a hysteresis band‐based multivariable sliding mode control (SMC) for the double input buck buck–boost fused converter. The considered converter is operated at a controlled output voltage, while supplied from two different levels of input voltages from two different sources. The proposed control is to ensure the faster time of responses during the variation in the dual references, the output voltage, and low‐voltage source current, simultaneously. The controller is developed by considering these two controlled variables, which are directly dependent on each other. This multivariable SMC is shown to perform successfully to maintain the controlled variables at their desired values despite the variation in the input voltage sources and also during perturbation in the load impedance. The stability analysis for the closed‐loop system is established with the Lyapunov method, which confirms that both of the controlled variables reach the desired stable band at the steady state. The control is implemented in the simulation environment for different operating conditions. A laboratory prototype is developed to implement the multivariable SMC. The experimental results successfully validate their simulated counterparts.

No abstract

No abstract

No abstract