A fuzzy finite-time optimal synchronization control method for a fractional-order permanent magnet synchronous generator, and belongs to the technical field of generators. A synchronization model between fractional-order driving and driven permanent magnet synchronous generators with capacitance-resistance coupling is established. The dynamic analysis fully reveals that the system has rich dynamic behaviors including chaotic oscillation, and a numerical method provides stability and instability boundaries. Then, under the framework of a fractional-order backstepping control theory, a fuzzy finite-time optimal synchronous control scheme which integrates a hierarchical type-2 fuzzy neural network, a finite-time command filter and a finite-time prescribed performance function is provided.

A system and method for determining the health of a motor drive system is provided, where a motor is coupled to a common motor control and a single or plurality of other motors are coupled to the common power source. Current data corresponding to current provided to the motor is obtained via a sensor connected to an electrical input of the motor, and voltage data corresponding to a voltage provided by the common motor control is also obtained. Based on the current data and the voltage data, a motor current provided to the motor and a motor voltage to current phase shift (or power factor) are determined, and the health of the motor drive system is determined from the motor phase shift (or power factor) and the motor current.

A system for reducing at least one of motor loss or motor drive loss in a vehicle. The system includes a motor designed to convert electrical energy into torque. The system also includes a sensor designed to detect motor data corresponding to at least one of a motor torque or a motor speed of the motor. The system also includes a memory designed to store testing data including optimized current commands for multiple combinations of motor torques that were determined during testing of the motor or a similar motor. The system also includes a speed or torque controller coupled to the motor, the sensor, and the memory and designed to receive a speed or torque command and to determine a current command signal usable to control the motor based on the speed or torque command, the testing data, the detected motor data, and an artificial intelligence algorithm.

A system and method for determining the health of a motor drive system is provided, where a motor is coupled to a common motor control and a single or plurality of other motors are coupled to the common power source. Current data corresponding to current provided to the motor is obtained via a sensor connected to an electrical input of the motor, and voltage data corresponding to a voltage provided by the common motor control is also obtained. Based on the current data and the voltage data, a motor current provided to the motor and a motor voltage to current phase shift (or power factor) are determined, and the health of the motor drive system is determined from the motor phase shift (or power factor) and the motor current.

A system for reducing at least one of motor loss or motor drive loss in a vehicle. The system includes a motor designed to convert electrical energy into torque. The system also includes a sensor designed to detect motor data corresponding to at least one of a motor torque or a motor speed of the motor. The system also includes a memory designed to store testing data including optimized current commands for multiple combinations of motor torques that were determined during testing of the motor or a similar motor. The system also includes a speed or torque controller coupled to the motor, the sensor, and the memory and designed to receive a speed or torque command and to determine a current command signal usable to control the motor based on the speed or torque command, the testing data, the detected motor data, and an artificial intelligence algorithm.