Control in Mechanical-Electrical Energy Conversion System

Dear Colleagues,

Energy is the fundamental need of our everyday life, where energy conversion and energy storage are two key fundamental elements of energy systems. Mechanical-electrical energy conversion systems, including renewable energy systems, motor drive devices, power electronic converters, smart structures and systems, robotic arms, cranes, etc., play a paramount role in modern energy systems and generally have a high requirement on system performance and safety. Unfortunately, external disturbances and system uncertainties (parameters, dynamics, model error), sensor measurement noise, time delay and nonlinear characteristics, widely exist in all practical engineering systems and inevitably lead to serious adverse effects on system dynamic and static performance or even system stability. Control theory and technology are critical for mechanical–electrical energy conversion systems, which are able to obtain excellent performances of the energy conversion system and therefore are drawing ever-increasing research attention.

In this Special Issue, we aim at disseminating the latest research findings of Control in Mechanical–Electrical Energy Conversion Systems. It includes, but is not limited to, modelling, control, monitoring, optimization, etc of mechanical–electrical energy conversion systems. Both theoretical and experimental works are welcome, especially those including validation with real-world data or experiments. Recently, interests in data-driven modelling, anti-disturbance-based control scheme and optimization of intelligent algorithms have been raised. Therefore, papers exploring the integration of mechanical-electrical energy conversion systems in these topics are also encouraged.

The topics of interest within the scope of this research topic include but are not limited to

• Modelling, simulation and control of mechanical-electrical energy conversion systems;
• Classification, analysis and attenuation of disturbances/uncertainties on engineering systems;
• Theoretical analysis and practical application of discrete/continuous control methods;
• Control and optimization of mechatronics systems;
• Application of AI and data-driven methods to mechanical-electrical systems;
• Models, simulators, and tests for renewable energy system;
• Mobile robot navigation and autonomous learning;
• High precision control and hardware implementation of servo system;
• Topology design and control of novel power electronic converters
• Fault diagnosis and fault tolerant control of electro-mechanical systems.

Prof. Dr. Shengquan Li
Dr. Jinya Su
Dr. Huimin Ouyang
Guest Editors

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