This study presents a self-error compensated sequential predictive control (SE-SMPC) technique for three-phase multimodular matrix converters (MMMC). Traditional model-based predictive control (MPC) methods typically require manual tuning of weighting factors and involve significant computational effort. In contrast, the SE-SMPC method addresses these limitations by prioritizing control objectives hierarchically, thereby reducing the number of switching states without sacrificing system performance. A key feature of this approach is its builtin error self-compensation mechanism, which distributes and corrects prediction errors across modules, thereby improving dynamic accuracy. Simulation results show that the proposed controller provides accurate tracking of the load current, significantly reduces the input reactive power and offers high fault tolerance in the event of module failure. In addition, it has been shown to reduce total harmonic distortion (THD) without the need to design complex cost functions. These advantages make it particularly suitable for high-efficiency AC-AC power conversion in various renewable energy applications.

This paper presents the design and simulation of a multimodular power conversion system based on voltage source inverters (VSI), composed of two parallel-connected three-phase modules driving an induction motor. A self-error-compensated predictive current control strategy is proposed to coordinate the modules, enabling dynamic current sharing and fault-tolerant operation. In the event of a failure, the control scheme incorporates the tracking error of the faulty module into the cost function of the operational one, improving performance and continuity. Simulation results demonstrate the effectiveness of the proposed method, with improved dynamic response, reduced root mean square error (RMSE), and lower total harmonic distortion (THD) under both normal and fault conditions.

This paper presents the design and validation of a custom temperature control board tailored for Skipper-CCD sensors that are adaptable to diverse experimental configurations. The board features two galvanically isolated sections: a control section incorporating a Raspberry Pi and essential instrumentation components for measurements and board protections and a power section housing the buck converter with corresponding instrumentation components for enhanced protections and measurements. The seamless integration of these sections ensures robust temperature regulation while providing comprehensive safeguards against potential anomalies. Through meticulous design and rigorous experimental validation, the proposed temperature control board offers reliable and precise thermal management tailored to the specific requirements of Skipper-CCD sensors. Illustrated by its application in the OSCURA experiment, this board is a case example, demonstrating its potential extension to other applications.