A robust generalized proportional integral controller for the induction motor

2008 ◽  
Author(s):  
Hebertt Sira-Ramirez ◽  
Francisco Beltran-Carbajal ◽  
Andres Blanco-Ortega
Keyword(s):  
Induction Motor ◽  
Proportional Integral ◽  
Integral Controller ◽  
Proportional Integral Controller

scholarly journals Solar powered hybrid multilevel inverter fed induction motor using fuzzy proportional integral speed controller

2019 ◽  
Vol 23 (Suppl. 1) ◽  
pp. 391-402
Author(s):  
Mehmet Senol
Keyword(s):  
Induction Motor ◽  
High Speed ◽  
Multilevel Inverter ◽  
Test Results ◽  
Low Speed ◽  
Proportional Integral ◽  
Speed Controller ◽  
Integral Controller ◽  
Proportional Integral Controller ◽  
Solar Powered

In this paper, speed control of solar powered single phase hybrid multilevel inverter fed induction motor using fuzzy proportional integral controller is proposed. The proposed control system has been developed using MATLAB/SIMULINK. Performance of the proposed controller is tested in reference speed conditions with step change. The parameter analyzed for the proposed controller is steady-state error and settling time. This is compared with the proportional integral controller. Proposed speed controller is tested with two speed region such as low speed region and high speed region. In low speed region, speed command is varied from 40, 60, and 80 rad/s with 0.6 s step time. In high speed region, speed command is varied from 100, 120, and 140 rad/s with 0.6 s step time. Corresponding, performance parameters are measured and analyzed for both regions with proposed controller and proportional integral controller. From the test results, fuzzy proportional integral speed controlled hybrid multilevel inverter fed induction motor outperforms than proportional integral controller. Finally, the results are verified experimentally.

Neuro-Fuzzy-Based Auto-Tuning Proportional Integral Controller for Induction Motor Drive

2015 ◽  
Vol 14 (03) ◽  
pp. 1550016 ◽  
Author(s):  
Moulay Rachid Douiri ◽  
Ouissam Belghazi ◽  
Mohamed Cherkaoui
Keyword(s):  
Induction Motor ◽  
High Performance ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Proportional Integral ◽  
Neuro Fuzzy ◽  
Integral Controller ◽  
Proportional Integral Controller ◽  
Auto Tuning ◽  
Drive Systems

This study presents a novel neuro-fuzzy (NF)-based auto-tuning proportional integral controller (NFATPI) for accurate speed control, and to ensure optimal drive performances of the indirect field controlled induction motor drive, under system disturbances and uncertainties. The training mechanism of the proposed NF have been developed and illustrated through mathematical formulations. Then, the NF parameters have been updated on-line using a suitable training algorithm. The learning rates of the NF are derived on the basis of the discrete Lyapunov function is also illustrated, in order to confirm the stability and the performance of prediction of the proposed NFATPI. The simulation results confirm the effectiveness of the strategy NFATPI as a robust controller for high performance industrial motor drive systems.

Proportional-Integral Controller Assisted by GPI Observer for Microalgal Continuous Culture

2020 ◽  
Author(s):  
Viyils Sangregorio-Soto ◽  
Claudia L. Garzon-Castro ◽  
Gianfranco Mazzanti ◽  
Manuel Figueredo ◽  
John A. Cortes-Romero
Keyword(s):  
Continuous Culture ◽  
Proportional Integral ◽  
Integral Controller ◽  
Proportional Integral Controller

Limits of a simplified controller design based on integral plus dead time models

2018 ◽  
Vol 232 (6) ◽  
pp. 728-741 ◽  
Author(s):  
Mikuláš Huba ◽  
Igor Bélai
Keyword(s):  
Dead Time ◽  
Controller Design ◽  
Absolute Error ◽  
Higher Order ◽  
Smith Predictor ◽  
Proportional Integral ◽  
Overall Design ◽  
Error Measures ◽  
Integral Controller ◽  
Proportional Integral Controller

This article presents design and evaluation of filtered proportional–integral controllers and filtered Smith predictor–inspired constrained dead time compensators. Both are based on the integral plus dead time and on the first-order time delayed plant models. They are compared as for tuning simplicity, robustness and noise attenuation. Such a comparison, which presents a robustness test regarding the importance of the internal plant feedback approximation, may be carried out by performance measures built on deviations of the input and output transient responses from their ideal shapes. When combined with integral of absolute error measures of both solution types with the disturbance responses set as nearly equivalent, we can see that the filtered Smith predictor setpoint responses may be significantly faster than the filtered proportional–integral controller responses, more robust and, using higher-order filters, also sufficiently smooth. Furthermore, tuning of the possibly higher-order filters for filtered Smith predictor is simpler. Its overall design is more transparent and straightforward with respect to the control constraints, where the filtered Smith predictor requires some additional anti-windup measures.

Sign in / Sign up

Export Citation Format

Share Document