Based on Multi-Estimator Technology to Control Speed of 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.

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.


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.


2013 ◽  
Vol 768 ◽  
pp. 359-363
Author(s):  
L. Venkatesan ◽  
A.D. Janarthanan ◽  
P.R. Aarthi ◽  
R. Arulmozhiyal

This paper gives an overview on Speed control of Induction Motor via Pic Controller using Lab VIEW. For Monitoring and controlling the Induction motor speed we can use the Lab View Simulation software. Lab VIEW Software can be used for continuous monitoring in an Real Time System applications. Most of the Industrial Automation control process are done by Lab VIEW software only. Lab VIEW Software plays major role in Industrial Monitoring and control systems. There are various types of controller used in Drive control systems in order to perform some actions such as Speed control, Run Motor in both forward and reverse direction. Here we have used Pic Controller for speed control process. From Lab VIEW software we can send Signals to Pic Controller to Run Induction Motor in either Forward/Reverse Direction and we can set the Speed of the Motor.


2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Farid Khoucha ◽  
Khoudir Marouani ◽  
Mohamed Benbouzid ◽  
Abdelaziz Kheloui ◽  
Abdeslam Mamoune

This paper presents a new hybrid cascaded H-bridge multilevel inverter motor drive DTC scheme for electric vehicles where each phase of the inverter can be implemented using a single DC source. Traditionally, each phase of the inverter requires DC source for output voltage levels. In this paper, a scheme is proposed that allows the use of a single DC source as the first DC source which would be available from batteries or fuel cells, with the remaining () DC sources being capacitors. This scheme can simultaneously maintain the capacitors of DC voltage level and produce a nearly sinusoidal output voltage due to its high number of output levels. In this context, high performances and efficient torque and flux control are obtained, enabling a DTC solution for hybrid multilevel inverter powered induction motor drives intended for electric vehicle propulsion. Simulations and experiments show that the proposed multilevel inverter and control scheme are effective and very attractive for embedded systems such as automotive applications.


2011 ◽  
Vol 268-270 ◽  
pp. 1179-1183 ◽  
Author(s):  
Li Rong Xiong

This fuzzy speed controller is designed and applied in induction motor drive systems. MATLAB software fuzzy logic toolbox is used to the single closed-loop induction motor speed control system for computer-aided design, and SIMULINK dynamic digital simulation is used to achieve optimal control parameters. Tests show that the fuzzy control process is overshoot, response time is short, the system oscillation amplitude is low, it is the optimum control strategy.


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