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Torque pulsations exist in ring permanent torque motors, which seriously degrade the drive performance of system at low speeds. In view of the periodic nature of torque ripple, adopt fuzzy iterative learning control (F-ILC) controller to minimize the torque ripple. It records the torque error and the compensating reference current of last cycle to update the compensating reference current of this...
The direct torque control (DTC) technique has been widely used as a control strategy for motor drive system. High torque ripple is a major problem when the motor is running at low speed in DTC system. By analyzing the causes of torque ripple, it is can be found that the change of the speed error signal is a good indicator to determine the situation of motor torque ripple. In this paper, a DTC strategy...
The direct torque control (DTC) technique has been widely used as a control strategy for motor drive system. High torque ripple is a major problem when the motor is running at low speed in DTC system. By analyzing the causes of torque ripple, it is can be found that the change of the speed error signal is a good indicator to determine the situation of motor torque ripple. In this paper, a DTC strategy...
The objective of this paper is to give an insight about the methodology of developing the algorithm for a DSP controlled motor drive in order to reduce complexity and development time by using re-useable software modules from TI?? library, and by constructing the flow block diagram within the incremental system build (ISB) levels logic frame. The proposed methodology is applied for the implementation...
This paper presents a hybrid controller for hybrid electric vehicles using hybrid system theory. The hierarchical control structure of parallel hybrid electric vehicle (HEV) is introduced first and the drive control problem of the vehicle is formulated using hybrid system theory. State machine theory is applied to solve the problem of vehicle operating mode transitions. Then a fuzzy torque distributor...
Principle of a new adaptive neuro-fuzzy inference system (ANFIS) with supervisory learning algorithm is introduced and is used to regulate the speed of a four-switch, three-phase inverter (FSTPI) brushless DC (BLDC) drive. The proposed algorithm has advantages of neural and fuzzy networks. To enhance of drive's performance, instead of well-known back propagation learning method, a fuzzy based supervisory...
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