基于自适应神经模糊推理系统的单相感应电机V/f SPWM逆变器控制器

Sutedjo, O. Qudsi, Ismi Isnaini Rosalina, D. S. Yanaratri, Suhariningsih
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引用次数: 2

摘要

本文介绍了利用SPWM逆变器对单相异步电动机进行速度控制的方法。电机的转速可以随着负载的变化而变化。电机转速不稳定会对系统造成干扰。需要控制,使电机能在转速设定值上旋转。因为使用的速度控制方法是恒定的V / f。这种方法的优点是能够稳定电机产生的转矩,并对电机进行负载校正。转矩受定子产生的磁通的影响。通过保持定子的电压和频率比,电机可以保持转速在rpm设定点。本文采用的控制方法是自适应神经模糊推理系统(ANFIS)。通过ANFIS控制使定子的电压和频率比保持恒定,使定子的转速按设定值稳定。为了验证结果,对功率为250瓦的单相感应电动机进行了测试。测试结果表明,当系统受到干扰时,控制可以在0.4秒内恢复到设定值速度
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V/f SPWM Inverter for Single-phase Induction Motor Contrller Using Adaptive Neuro-Fuzzy Inference System
In this paper shows the speed control of a single-phase induction motor using an SPWM inverter. Motor speed can change as the load changes on the motor. Unstable motor speed can cause interference with the system. Control is needed so that the motor can rotate at the rpm set point. For the speed control method used is a constant V / f. This method has the advantage of being able to stabilize the torque produced by the motor with a load correction on the motor. Torque is affected by fluxes produced by the stator. By maintaining the voltage and frequency ratio of the stator, the motor can maintain speed at the rpm set point. In this paper, the control method used is the Adaptive Neuro-Fuzzy Inference System (ANFIS). So that the voltage and frequency ratio of the stator is kept constant with ANFIS control to get a stable speed according to the set point. For the validation of the results, a single phase induction motor with 250 watts of power is tested. Based on the test results, when the system is given a disturbance, the control can return at the set point speed with 0.4 seconds
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