Sensorless load and position estimation in linear reluctance actuator
نویسندگان
چکیده
منابع مشابه
Sensorless load and position estimation in linear reluctance actuator
Sensorless load and position estimation of linear reluctance actuator is investigated in this paper. Due to wide application of these actuators in several industrial automation systems, sensorless techniques are significant to decrease the cost of the system and increase the reliability in the closed-loop control systems. In this paper, based on dynamic model of the actuator and the characteris...
متن کاملHalf step position sensorless control of a Linear Switched Reluctance Motor based on back EMF
This paper presents a position sensorless closed loop control of a switched reluctance linear motor. The aim of the proposed control is to damp the position of the studied motor. Indeed, the position oscillations can harm some applications requiring high position precision. Moreover, they can induce the linear switched reluctance motor to an erratic working. The proposed control solution is bas...
متن کاملRotor Position of Switched Reluctance Motor Using Sensorless Method
Switched reluctance motor (SRM) is an energy converter that converts an electrical energy to mechanical energy in motoring operation and vice-versa in generating operation. When the rotor is out of alignment, the inductance is very low and the current also increase rapidly. The rotor is aligned with the stator then the inductance become very large. In the simulation results, how the rotor minim...
متن کاملAn Approach for Sensorless Position Estimation for Switched Reluctance Motors Using Artifical Neural Networks
This paper presents a new approach to the sensorless control of the switched-reluctance motor (SRM). The basic premise of the method is that an Artificial Neural Network (ANN) forms a very efficient mapping structure for the nonlinear SRM. Through measurement of the phase flux linkages and phase currents the neural network is able to estimate the rotor position, thereby facilitating elimination...
متن کاملPosition Estimation for Control of a Partially-Observable Linear Actuator
In this work, we propose and compare position estimation approaches to enable control of a low cost linear actuator with partially observed states. Our goal is to use machine learning techniques to obviate the need for expensive hardware while still being able to achieve precise and accurate actuation to arbitrary target positions. We analyze the performance of regression methods for this task ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEICE Electronics Express
سال: 2014
ISSN: 1349-2543
DOI: 10.1587/elex.10.20130908