Performance comparison of the controller configurations for the sensorless IM drive using the modified speed adaptive observer

Yusivar, Feri; Haratsu, H.; Kihara, T.; Wakao, Shinji; Onuki, Takashi

doi:10.1049/cp:20000244

Cited by 10 publications

(5 citation statements)

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“…The reference current in q-reference frame ( * sq i ) in ( 24) is controlled by the Integral Proportional (IP) speed controller. The equation of IP speed controller [15] is…”

Section: Speed Controllermentioning

confidence: 99%

The Effect of Motor Parameters on the Induction Motor Speed Sensorless Control System using Luenberger Observer

Harini

2022

Int.J.Appl.Sci.Smart Technol.

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The sensorless control system is a control system without a controlled variable sensor. The controlled variable is estimated using an observer. In this investigation, the sensorless control system is used to control induction motor speed. The observer that is used is the Luenberger observer. One of the drawbacks of the sensorless control system is precision motor parameter values. In this research, the effect of induction motor parameters in a speed sensorless control system, i.e. resistance and inductance motor, will be investigated. The differences in induction motor parameters between the controller and the actual value affect the system response. The value differences of Rr and Rs that can be applied are a maximum of 50%. However, the small differences in the inductance value greatly affect the system response. To get a good response, the value differences of Ls and Lr are between -5% to +5%, while the difference in the value of Lm is between -3% to +3%.

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“…The reference current in q-reference frame ( * sq i ) in ( 24) is controlled by the Integral Proportional (IP) speed controller. The equation of IP speed controller [15] is…”

Section: Speed Controllermentioning

confidence: 99%

The Effect of Motor Parameters on the Induction Motor Speed Sensorless Control System using Luenberger Observer

Harini

2022

Int.J.Appl.Sci.Smart Technol.

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“…The model of the induction generator used seven differential equations, i.e. the differential equation of the stator current in d-axis (i sd ) (7), the differential equation of the stator current in q-axis (i sq ) (8), the differential equation of the rotor current in d-axis (i rd ) (9), the differential equation of the rotor current in qaxis (i rq ) (10), the differential equation of the angular speed of the stator voltage ( e , the differential equation of the rotor speed ( r ) (12), and the differential equation of the angle of rotor (13) [4], [5].…”

Section: Figure 1 the Parts Of Systemmentioning

confidence: 99%

“…The Luenberger observer was able to estimate the state variables (X) and the output variables (Y) in the state space (36) and (37) [11]. The estimated state variables (X est ) and the estimated output variables (Y est ) could be calculated by using equations (37) and (38) [12], [13].…”

Section: Figure 1 the Parts Of Systemmentioning

confidence: 99%

“…By using the equations (38) and (39), the Luenberger observer in the equation (41) was used to estimate the state variables of the induction generator (i sd , i sq ,  rd , and  rq ) in the equation (40). The estimated state variables were i sdest , i sqest ,  rdest , and  rqest [11], [12], [13]. The equation (41) used the gains g 1 , g 2 , g 3 , and g 4 that were written as below:…”

Section: Figure 1 the Parts Of Systemmentioning

confidence: 99%

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Critical Condition of Sensorless Induction Generator Using Flux Weakening in Wind Turbine Application

Wicaksono

Halim

Subiantoro

et al. 2016

IJPEDS

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This paper was intended to examine thoroughly a critical condition of the sensorless induction generator using flux weakening in wind turbine application. The critical condition would happen when the rotor speed reached the critical rotor speed reference. The critical rotor speed reference was the highest of the rotor speed reference that still caused the stable response. It was obtained by increasing the rotor speed reference until the system response became unstable. In the low speed range of wind showed that there was no unstable condition whatever a rotor speed reference was set. On the other hand, there was a critical rotor speed reference in the medium and high speed range of wind. The unstable condition was caused by the induction generator that received a power higher than its capacity, so its rotor speed couldn't be maintained at reference value. The first solution was suggested that the stable condition would be made by setting the rotor speed reference at the minimum critical reference. The second solution was suggested that the controlling rotor speed in triangle area between the critical condition and the operation that used the minimum critical reference for the rotor speed reference. In the triangle area, the rotor speed was controlled by setting the tip speed ratio.

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“…To get fast dynamic response, high PI gains cause undesirable system behavior such as high overshoot and slow settling time. On the other hand, integral-proportional (IP) speed controller has been presented in [8], [9], [10] that provide better performance in reducing or eliminating overshoot, but still gives fast dynamic response.…”

Section: Introductionmentioning

confidence: 99%

Real time implementation of anti-windup PI controller for speed control of induction machine based on DTC strategy

Ouboubker

Lamterkati²,

Khafallah³

et al. 2021

IJPEDS

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This paper presents simulation and experimental results of anti-windup PI controller to improve induction machine speed control based on direct torque control (DTC) strategy. Problems like rollover can arise in conventional PI controller due to saturation effect. In order to avoid such problems anti-windup PI controller is presented. This controller is simple for implementation in practice. The proposed anti-windup PI controller demonstrates better dynamic step changes response in speed in terms of overshoots. All simulation work was done using Simulink in the MATLAB software. The experimental results were obtained by practical implementation on a dSPACE 1104 board for a 1.5 KW induction machine. Simulation and experimental results have proven a good performance and verified the validity of the presented control strategy.

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Performance comparison of the controller configurations for the sensorless IM drive using the modified speed adaptive observer

Cited by 10 publications

References 0 publications

The Effect of Motor Parameters on the Induction Motor Speed Sensorless Control System using Luenberger Observer

The Effect of Motor Parameters on the Induction Motor Speed Sensorless Control System using Luenberger Observer

Critical Condition of Sensorless Induction Generator Using Flux Weakening in Wind Turbine Application

Real time implementation of anti-windup PI controller for speed control of induction machine based on DTC strategy

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