IEEE/ASME Transactions on Mechatronics · 1997 · 86 citations · 17 references
EngineeringComputer ScienceMechatronics EngineeringArtificial IntelligenceMachine LearningMotor ControlDrive SystemsElectric DrivesElectric Motor Drive SystemsElectric Motor DrivesPermanent Magnet MachinesSpeed ControlDc Motor DrivesMotor Speed ControlNeural Network ControlNeural Network Speed ControlOperating ConditionsPermanent Magnet MotorsPermanent Magnet Synchronous Motor DrivesSpeed Control Of Electric Motors
This paper presents an online self-tuning artificial-neural-network (ANN)-based speed control scheme of a permanent magnet (PM) DC motor. For precise speed control, an online training algorithm with an adaptive learning rate is introduced, rather than using fixed weights and biases of the ANN. The complete system is implemented in real time using a digital signal processor controller board (DS1102) on a laboratory PM DC motor. To validate its efficacy, the performances of the proposed ANN-based scheme are compared with a proportional-integral controller-based PM DC motor drive system under different operating conditions. The comparative results show that the ANN-based speed control scheme is robust, accurate, and insensitive to parameter variations and load disturbances.
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Neural networks: A comprehensive foundation
Ryszard Tadeusiewicz · Control Engineering Practice · 1995 · 7.3K citations
A multilayered neural network controller
D. Psaltis, A. Sideris, A.A. Yamamura · IEEE Control Systems Magazine · 1988 · 1.1K citations