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The paper discusses the problem of rotor position estimation for the nonsalient permanent magnet synchronous motor (PMSM) and presents two reduced order observers that are based on the machine's model in the stationary reference frame. The first observer estimates the machine's stator flux linkages and then computes the rotor fluxes and the rotor position. The second observer estimates the back emfs...
This paper presents a sensorless predictive torque control. The predictive torque control is based on pre-calculation of the best switching state in order to keep the state variables close to desired values. The control scheme uses a proportional-integral controller inside of predictive control in order to improve the steady state response. The stator flux that determines the stator voltage is pre-calculated...
This paper propose an adaptive sliding mode observer(SMO) which adds an estimation function for the stator resistance to the conventional sliding mode observer. It is proposed for the robust sensorless control of permanent magnet synchronous motor(PMSM) with variable parameters. The low-pass filter and additional position compensation of the rotor are used to reduce the chattering problem commonly...
A method of speed identification for sensorless induction motor (IM) drives based on a model reference adaptive system (MRAS) is proposed in this paper. The adaptive full-order observer based on IM equation is used to estimate stator currents and rotor flux. Lyapunovpsilas stability criterion is employed to estimate rotor speed. The same algorithm deduced from Lyapunovpsilas stability criterion is...
Vector control has been widely used in control of permanent magnet synchronous motors (PMSM) where the rotor position information is required. The cost of mechanical sensors and the difficulty to incorporate them make it necessary to avoid their uses and to study the mechanical Sensorless control. The idea behind such methods is to extract the motor position and speed information in functions of the...
A scheme of a model reference adaptive system (MRAS) based on the theory of parameter optimization for the PMSM servo system is described in this paper. The scheme can promptly work out the speed of the rotor without any other position/speed sensor. Different from the other MRAS-based speed observers which constructed according the theory of stability customarily, by using the error between the measured...
This paper introduces a novel sensorless method for speed and position estimation of permanent magnet synchronous motor (PMSM). The mathematical model of PMSM is expressed in an arbitrary rotating reference frame and no knowledge of initial rotor position is needed. The developed algorithm is based on sliding mode observer (SMO) theory and consists of two discrete steps: flux/current and speed/position...
A new backstepping controller is designed for two different speed sensorless induction motor, based on measurements of stator current. As in field-oriented control scheme, the backstepping analysis generates references for magnetizing flux component and for the speed component of the stator current. The control algorithm is proposed for replacing the existing PI controller to obtain high performance...
This paper presents a novel strategy for the vector control of IPMSM, without signal injection. The overall performance of the motion-sensorless control depends strongly on the accuracy of the rotor position and speed estimation. The proposed state observer is based on the concept of the ldquoactive fluxrdquo (or ldquotorque producing fluxrdquo), which ldquoturns all the salient-pole rotor ac machines...
Extended Kalman filter observer for the direct torque controlled permanent magnet synchronous motor drive is talked about, the estimation schemes for PMSM rotor initial position and rotate speed are obtained. Direct torque control is studied. The PMSM rotor initial position is indispensable to sensorless PMSM direct torque control systems. High frequency voltage signal is injected into stator winding...
In this paper, a neural network based rotor position control and speed estimation method for permanent magnet synchronous motor (PMSM) is proposed. The proposed method has three recurrent neural networks. They are used for estimating stator current, rotor speed, and rotor position angle. Each of them is trained in two steps: off-line training for learning dynamic of PMSM and on-line training for realizing...
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