Online auto-tuning of multiresonant current controller with nature-inspired optimization algorithms and disturbance in the loop approach

• Published in: Applied soft computing Vol. 144; p. 110512
• Main Authors: Tarczewski, Tomasz, Stojic, Djordje, Szczepanski, Rafal, Niewiara, Lukasz, Grzesiak, Lech M., Hu, Xiaosong
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.09.2023
• Subjects: Auto-tuning; Disturbance-in-the-loop (DiL); Function of constraints; Grid-connected inverter; Multiresonant current controller (MRCC); Nature-inspired optimization algorithms; Nature-inspired optimization algorithms; Grid-connected inverter; Function of constraints; Auto-tuning; Disturbance-in-the-loop (DiL); Multiresonant current controller (MRCC)
• ISSN: 1568-4946; 1872-9681
• DOI: 10.1016/j.asoc.2023.110512

This paper presents a novel tuning method of a complex multiresonant current controller (MRCC). An online auto-tuning process is proposed to provide optimal coefficients suitable for the real-time operation of a grid-connected power converter. The time-consuming and inaccurate simulation stage based on the model of the plant is omitted. A novel function of constraints has been introduced into the optimization scheme to ensure the desired behavior of the control system. In this solution, the noise level of a control signal and the rise time of controlled currents are directly defined. To the author’s best knowledge, it is the first time when such a solution is proposed. Next, the most commonly used meta-heuristic optimization algorithms were applied to solve this particular optimization problem. Another original concept presented in the paper is the application of the disturbance-in-the-loop (DiL) approach. In this method, the distorted phase voltages are emulated during the tuning stage, and optimal coefficients of MRCC are selected in the off-grid operation of the power converter. The proposed solution ensures safe and efficient online tuning of the MRCC for an extremely simple performance index. As a result, the high-performance operation of the grid-connected inverter is achieved. A brief stability analysis based on Lyapunov’s stability theory is included. Experimental results obtained for grid-connected inverter indicate superior disturbance attenuation and current tracking. Advantages of the proposed approach are exhibited when compared to two analytical reference solutions. •Meta-heuristic algorithms are used for multiresonant current controller’s auto-tuning.•The disturbance-in-the-loop is proposed to provide safe and efficient converter operation.•A novel function of constraints was introduced to ensure the desired behavior.•A superior harmonics attenuation and robustness against the disturbed phase voltages.