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In this paper, a nonlinear PI controller is developed to control speed of PMSM, it can adjustment of controller parameters automatically in order to achieve the best control effect in control process. Simulation results show that it was faster than the traditional controller response and have a smaller overshoot.
A four-phase 8/6 pole and 75 kW switched reluctance motor drive based on 32-bit digital signal processor TMS320F2812 is designed. The details of the controller design and analysis are discussed. In addition, aiming at solving the nonlinear problems of the switched reluctance motor, fuzzy-PI hybrid algorithm is presented to control the motor speed and the phase current. Experimental results show that...
In this paper, speed controllers based on artificial neural networks for vector control of AC motors are used. Tracking of the rotor speed is realized by adjusting the new weights of the network depending on the difference between the actual speed and the commanded speed. The controller is adaptive and is based on a nonlinear autoregressive moving average (NARMA-L2) algorithm. A comparative study...
The paper deals with the problem of robust speed control of electrical servodrives. A robust controller is developed using a nonlinear IP controller. The controller nonlinear characteristic is obtained due to fuzzy logic technique application. An original method of controller settings adjustment is presented. The use of this adjustment procedure ensures robust speed control against the variations...
This paper deals with the problem of robust speed control of electrical servodrives. A robust controller is developed using a nonlinear PI controller. The controller nonlinear characteristics is obtained due to fuzzy logic technique application. An original method of controller settings adjustment is presented. The use of this adjustment procedure ensures robust speed control against the variations...
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