基于粒子滤波的异步电机无速度传感器控制速度估计

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI:10.1109/ISRITI51436.2020.9315347

B. L. Widjiantoro, K. Indriawati, Egy Josua Simbolon

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引用次数: 3

摘要

在本研究中，采用粒子滤波算法(PF)作为速度估计器，直接转矩控制(DTC)作为控制方案来控制感应电机的速度，完成感应电机无速度传感器控制设计。对于闭环控制系统的测试，测试范围为50至500转/分，稳态误差小于5%。从得到的误差值可以看出，异步电动机无速度传感器控制设计运行良好，但在350和500转等高速下，得到的结果超调值高，稳定时间长。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Particle Filter Based Speed Estimator for Speed Sensorless Control in Induction Motor

In this research, speed sensorless control design for induction motors is done by using the Particle Filter algorithm (PF) as a speed estimator and Direct Torque Control (DTC) as a control scheme used to control the speed of an induction motor. For testing with a close loop control system, the test range is at speeds of 50 to 500 rpm, with a steady state error obtained less than 5%. Based on the value of the error obtained it can be said that the design of the speed sensorless control for the induction motor is running well, however at high speeds such as 350 and 500 rpm the results obtained have a high overshoot value and a long settling time.

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2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)

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