In this study, a fast terminal sliding‐mode control scheme is proposed as a new approach for the voltage tracking control of the DC–DC boost converter affected by disturbances, such as the variations in the input voltage and the load resistance. Some experiments are performed on a test bench to show the effectiveness of the proposed approach. The fast reference tracking capability with small overshoot and robustness to the disturbances of the designed controller is verified by the experimental results. Moreover, the results demonstrate that the proposed controller has a better performance related to conventional sliding mode and proportional–integral controllers in terms of the settling time and robustness to the disturbances.

In this study, a robust voltage‐mode controller for DC–DC boost converter subject to time varying parameters is presented. The time‐varying parameters of the boost converter are considered as the input voltage, the load resistance and the passive components (inductor and capacitor). The proposed controller, designed in discrete time, is based on the sliding mode control combined with the model‐reference approach. In addition to this controller structure, the system dynamics are augmented by integral action to ensure zero steady‐state tracking error. Experimental results, obtained from prototype operating at the fixed frequency, are provided to demonstrate the excellent robustness of the designed controller against wide input voltage variations and large load transients and also variation in passive components.

In this study, a fast and fully software‐based algorithm for digital phase‐locked loop (PLL) is proposed via a new hybrid approach in software and hardware by using an advanced digital signal processor architecture. The proposed algorithm is robust against line disturbances such as phase‐angle jump, voltage sag, third harmonic injection, multi‐zero crossing and step change in frequency at the input voltage. Performance and robustness of the proposed method are investigated through experimental studies. Furthermore, it is compared with three different PLL algorithms in detail to show its superiority over existing methods.

This study presents a novel meta-heuristic optimization method that combines the Henry Gas Solubility Optimization (HGSO) technique with symmetric chaotic systems. By leveraging the randomness of chaotic systems, the parameters of the HGSO algorithm that require random generation are produced through chaotic processes, allowing the algorithm to exhibit chaotic behavior in its pursuit of optimal values. This innovative approach is termed Chaotic Henry Gas Solubility Optimization (CHGSO), with the primary objective of enhancing the performance of the HGSO method. The randomness of the data obtained from chaotic systems was validated using NIST-800-22 tests. The CHGSO method was applied to both 47 benchmark functions and the optimization of parameters for a PID controller utilized in the speed control of a DC motor. To evaluate the effectiveness of the proposed method, it was compared with several widely recognized algorithms in the literature, including PSO, WOA, GWO, EA, SA, and the original HGSO algorithm. The results demonstrate that the proposed method achieved the best performance in 43 of the benchmark functions, outperforming the other algorithms. In the context of controller design, the PID parameters were optimized using the error-based ITSE objective function. According to the controller responses, the proposed method has achieved the best results in the simulation studies, with a settling time of 0.035 and a rise time of 0.014 without overshooting, and in the experimental studies, with a settling time of 0.15 and a settling time of 1.4%. When the results are examined, it is observed that it has achieved successful results in the controller design problem.

In this paper, a double integrator sliding mode controller (DISMC) via the mechanical sensorless maximum power point tracking (MPPT) method is suggested to extract maximum power from a wind energy conversion system (WECS). The controller is required to bring the system to the maximum power point reference generated by the MPPT method. However, the controller design for the WECS operated in a wide wind speed range is a challenging task due to its highly nonlinear behavior. In this study, to enhance the performance of the WECS, a voltage mode DISMC, which is not used before for the WECS, is offered. The dynamic performance of the proposed method, considering the different wind speed scenarios, is proved with the simulation studies. Additionally, the performance of the DISMC is compared with that of the conventional sliding mode controller for the same wind speed scenarios.