Papers by Keyword: Sensorless Control

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Authors: Ou Yang Yi, Martin Maerz
Abstract: Much more investigation is done in the low speed operation of IM. High-speed operation is rarely paid attention; since it is assumed that the IM would work successfully in that area. However, the high-speed operation of IM with conventional feedback designing behaves not so well and presents oscillation situation, due to inappropriate placement of eigenvalues of flux observer and deterioration of speed adaptation mechanism. Correspondingly, considering the saturation effect of main flux, this paper proposes a new feedback designing method and improved speed adaptation mechanism.
Authors: Hua Cai Lu, Juan Ti, Lu Lu Sun, Li Sheng Wei
Abstract: In order to achieve sensorless control for permanent magnet linear synchronous motor (PMLSM) direct drive system, speed and position of the motor must be estimated. A new high speed sliding mode observer (SMO) is proposed for a PMLSM based on the sliding mode variable structure theory. A Sigmoid function is used for the SMO as a switching function of the control law, eliminating sliding mode chattering and improving its response rate. Simulation results show that the proposed SMO based on Sigmoid function is capable of estimating speed and position of the motor accurately and rapidly, and the proposed PMLSM sensorless control system has a good dynamic response.
Authors: Tong Yi Han, Zhong Hua Wang, Fei Fei Han
Abstract: In this paper, a new sliding-mode observer (SMO) for sensorless control of permanent magnet synchronous motor (PMSM) is proposed. The observer is built based on the study of the back electromotive force (EMF) equivalent control. The new SMO, which substitues a hyperbolic tangent function for the signum function with a variable boundary layer, can reduce the chattering phenomenon. In order to overcome the time delay, we cancelled the low-pass filter and phase compensation module. In this way, not only the structure of the observer is simplified, but also the estimation precision is improved. The simulation results prove that the new SMO has a good dynamic performance and static quality.
Authors: Song Yi Dian, Hang Dong, Wei Gao
Abstract: In this study, a novel sensorless control to yield sub-micron precision positioning performance and low cost has been introduced to a Sawyer motor-based two-axis planar motion stage. The experiment results have verified the effectiveness of the suggested strategy for the stage.
Authors: Usman Nasir, Muhammad Tahir Rasheed, Muhammad Kamran Bodla, Muhammad Rafiq, S.M.R. Kazmi
Abstract: Three Phase Inverters being used today are based on Field Orientation Control (FOC) and Sine Wave PWM (SPWM) techniques because 120 degree or 180 degree conduction methods produce high value of THD (Total Harmonic Distortion) in the power system. The Indirect Field Orientation Control (IFOC) method is difficult to implement in real systems due to speed sensor accuracy issue. This paper discusses the problem with IFOC and a PWM based 180 degree conduction mode for the three phase inverter. The modified control method improves THD and this paper also compares the results obtained using modified control method with the conventional 180 degree conduction mode.
Authors: Ivan Yurievich Krasnov, Sergey Vladimirovich Langraf, Stepan Ivanovich Chobanov
Abstract: Permanent magnet synchronous motors for the effective start requires information about an initial position of a rotor. In this regard, most systems use position sensors, which substantially increase a cost of an electrical drive entirely [1-3]. The aim of this article is to develop new method, allowing to determine the absolute angular position of the rotor of the permanent magnet synchronous motors [4,5]. With a certain voltage pulses, in series applied to the motor, stator is magnetized by currents leakage in the windings. This allows, using a special algorithm, to calculate the absolute position of the rotor without using any motor parameters [6]. Simulation results prove the simplicity and efficiency of this method for determining an initial position of the rotor of the permanent magnet synchronous motors. Thus, this method can be widely used in the electrical industry.
Authors: Fei Xiao, Lei Yuan, Ming Liang Chen
Abstract: This paper proposes an adaptive sliding-mode observer (SMO) for a low-speed interior permanent magnet synchronous motor (IPMSM) drive. In this paper, an adaptive SMO is employed to estimate the rotor speed and extended EMF, a soft phase locked loop (PLL) technology is used to estimate rotor position due to its strong robustness since under voltage phase unbalance or polluted and variable-frequency environment. The global asymptotic stability of the proposed adaptive SMO is verified using Lyapunov stability analysis with considering motor parameter variations. Simulation results are presented to verify the principles and to demonstrate the effectiveness of the proposed method.
Authors: Jian Min Wang, Shi Xia Tian
Abstract: This paper analyzes the effects of stator resistance on rotor position estimation accuracy in carrier signal injection based sensorless control of PMSM. Carrier current expressions are derived for both rotating and pulsating voltage injection method when the stator resistance is taken into account. Position estimation errors resulted from stator resistance are analyzed theoretically and investigated by simulation. It is shown that the influences of stator resistance on above two injection methods are quite different. The stator resistance will result in a position estimation error in the rotating voltage injection method. But it does not affect the position estimation accuracy in the pulsating voltage injection method as long as a suitable signal extracting method is used.
Authors: Abolfazl Halvaei Niasar, Hossein Rahimi Khoei, Mahdi Zolfaghari, Hassan Moghbeli
Abstract: Controlled induction motor drives without mechanical speed sensors at the motor shaft have the attractions of low cost and high reliability. For these speed sensorless AC drive system, it is key to realize speed estimation accurately. This paper describes a Model Reference Adaptive System (MRAS) based scheme using Artificial Neural Network (ANN) for online speed estimation of sensorless vector controlled induction motor drive. The neural network has been then designed and trained online by employing a back propagation network (BPN) algorithm. The estimator was designed and simulated in Matlab. Simulation result shows a good performance of speed estimator. Also Performance analysis of speed estimator with the change in resistances of stator is presented. Simulation results show this estimator robust to resistances of stator variations.
Authors: Hua Cai Lu, Xuan Yu Yao, Juan Ti
Abstract: This paper describes a composite sensorless position and speed detection algorithm designed for permanent magnet linear synchronous motor (PMLSM). A high-frequency voltage signal injection method is used at starting and low speed, and a back-EMF integrate method is used at high speed, and the two kinds of method are fused by weighting method in the transition speed area. Simulation results show that estimation accuracy of this composite estimation method is satisfactory, and the sensorless control system based on this method has good dynamic response characteristics within full speed.
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