scholarly journals Research on the Speed Sliding Mode Observation Method of a Bearingless Induction Motor

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 864
Author(s):  
Youpeng Chen ◽  
Wenshao Bu ◽  
Yanke Qiao

In order to achieve the speed sensorless control of a bearingless induction motor (BL-IM), a novel sliding mode observation (SMO) method of motor speed is researched. First of all, according to the mathematical model of a BL-IM system, the observation model of stator current and that of rotor flux-linkage are derived. In order to overcome the chattering problem of a sliding mode observer, a continuous saturation function is adopted to replace the traditional sign function. Then, the SMO model of motor speed is derived, and the stability of the proposed motor speed SMO method is validated by the Lyapunov stability theory. At the end, the observed motor speed and rotor flux-linkage are applied to a BL-IM inverse “dynamic decoupling control” (DDC) system. Simulation results show that the real-time observation or dynamic tracking of motor speed and rotor flux-linkage are achieved in a more timely manner and more accurately, and higher steady-state observation accuracy is obtained; the proposed SMO method can be used in the BL-IM’s inverse DDC system to realize reliable magnetic suspension operation control without a speed sensor.

2010 ◽  
Vol 7 (2) ◽  
pp. 167-184 ◽  
Author(s):  
Karim Negadi ◽  
Abdellah Mansouri ◽  
Belkheir Khtemi

Sensor less induction motor drives are widely used in industry for their reliability and flexibility. However, rotor flux and speed sensors are required for vector control of induction motor. These sensors are sources of trouble, mainly in hostile environments, and their application reduces the drive robustness. The cost of the sensors is not also negligible. All the reasons lead to development of different sensor less methods for rotor flux and mechanical speed estimation in electrical drives. The paper deals with the speed estimators for applications in sensor less induction motor drive with vector control, which are based on application of model adaptive, based sliding mode observer methods. This paper presents the development and DSP implementation of the speed estimators for applications in sensor less drives with induction motor.


2014 ◽  
Vol 577 ◽  
pp. 329-333
Author(s):  
Su Mei Feng ◽  
Zhi Ping Yan ◽  
Xue Mei Wu

In order to improve the reliability of the control system, and to reduce the uncertainty of control process, this paper presents an excellent algorithm to control the induction motor speed using series estimator technology. The physical speed sensor is not used to detect speed of the motor, while applying the vector analysis method, through the stator current and the rotor flux are calculated to estimate motor speed. Corresponding to sensorless control drawbacks, the self-tuning control scheme is proposed through control scheme reformed. The double estimator technology is applied to reform scheme, the first order estimator is used to identify the system parameters, the second order estimator is used to calculate the parameters of the controller on-line, and control function is given real-time to control the speed of the motor, the simulation results show that the given control technology is advanced.


Author(s):  
Tao Wang ◽  
Jikun Li ◽  
Yuwen Liu ◽  
Xuehai Wang

In the case of unbalanced load performance, the key issue in speed control of a single inverter-powered parallel motor coupling system is how to overcome the difference in motor parameters and the effect of slip between the induction motors to maintain the same speed. Based on the synergetic control theory and synergy manifold design techniques, the model which is field-oriented vector control with reduced order induction is proposed, as well as a synergetic control strategy. Moreover, the accuracy of the rotor flux observation is one of the most important steps in the motor control. In order to improve the convergence speed of rotor flux error, a new flux observer based on the sliding mode theory is proposed. Introducing the Sig function instead of the symbol function, the sliding mode control technology is improved to observe rotor to eliminate the control chattering. Then, two motor speed coupling weighted synergetic control models are given by using the new weight vector of the parallel induction motor. These models can directly obtain the stator excitation current and torque current of the two motors. The simulation and experimental results show that the newly proposed motor synergetic control method has better steady operation performance, overcomes the shortcomings of the existing average vector control method in load imbalance and motor parameter difference and proves the validity and advancement of the design strategy.


Author(s):  
Djamila Cherifi ◽  
Yahia Miloud

This paper presents a robust observer for sensorless speed control of doubly fed induction motor (DFIM), based on the slidin mode. In the first step, a model of the doubly fed induction motor fed by two PWM inverters with separate DC bus link is developed. In the second step and in order to provide a robust separate control between flux and motor speed a vector control by field oriented strategy applying a sliding mode regulator was implemented. Finally, speed estimation of a doubly fed induction motor based on sliding mode observer is presented. The simulation tests schow the effectiveness of the proposed method especially in the load disturbances, the change of the refrence speed and low speed. Also the influence of parameter variations will be studied by simulation


2021 ◽  
Author(s):  
Hongyu Su ◽  
Minghao Zhou ◽  
William Cai ◽  
Siwei Cheng ◽  
Hanying Gao

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
C. Ben Regaya ◽  
A. Zaafouri ◽  
A. Chaari

Many scientific researchers have proposed the control of the induction motor without speed sensor. These methods have the disadvantage that the variation of the rotor resistance causes an error of estimating the motor speed. Thus, simultaneous estimation of the rotor resistance and the motor speed is required. In this paper, a scheme for estimating simultaneously the rotor resistance and the rotor speed of an induction motor using fuzzy logic has been developed. We present a method which is based on two adaptive observers using fuzzy logic without affecting each other and a simple algorithm in order to facilitate the determination of the optimal values of the controller gains. The control algorithm is proved by the simulation tests. The results analysis shows the characteristic robustness of the two observers of the proposed method even in the case of variation of the rotor resistance.


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