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The motor drive system plays a significant role in the safety and function of electric vehicles as a bridge for power transmission. In order to enhance the efficiency and stability of the drive system, more and more studies based on AI technology are devoted to the fault detection and diagnosis of the motor drive system.

Motivated by the expanding role of robotics in a wide range of industrial applications, the imperative for a specialized exploration into the control dynamics of permanent magnet actuators has become apparent. These actuators are integral to contemporary robotic systems but they pose distinct challenges necessitating a dedicated exploration. The subject area encompasses a comprehensive examination of control requirements, spanning from conventional high-performance strategies to avant-garde non-position control approaches, multi-motor coordination, and fault-tolerant methodologies.