Recent analysis reveals improvements in dynamic performance and automation in electromechanical systems, highlighting AI's role in design and control.
Electromechanical equipment is indispensable in the modernization. The motions of electromechanical systems are becoming increasingly complex, which inevitably involves nonlinearity. The recent advances in design, analysis and control are to improve dynamic performance, steady-state stability, and anti-interference ability to meet modern industry upgrading requirements. In recent years, with the increasing complexity of application scenarios, one has higher anticipation for the nonlinear dynamic performance, intelligence, and automation of electromechanical systems, which also brings new challenges to the research, design, and control of electromechanical systems. Therefore, how to combine nonlinear dynamics, artificial intelligence, and automation with the research, design, and control of the electromechanical system has become a hot issue. The advanced analysis, design and control methods contribute to develop and improve nonlinear electromechanical systems with high stability and dynamic performance. We gather the recent advances on nonlinear dynamics and control of electromechanical systems to provide new perspectives to the research and design of the future products.
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Xu et al. (2025) studied this question.
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