Generalized predictive control applied to the position control of a induction motor

2012 ◽  
Author(s):  
Antonio B. S. Junior ◽  
Francisco G. Sena ◽  
Bismark C. Torrico ◽  
Luiz H. S. C. Barreto ◽  
Samuel V. Dias ◽  
...  
Keyword(s):  
Induction Motor ◽  
Predictive Control ◽  
Position Control ◽  
Generalized Predictive Control

Generalized predictive control robust for position control of induction motor using field-oriented control

2015 ◽  
Vol 97 (3) ◽  
pp. 195-204 ◽  
Author(s):  
Wellington A. Silva ◽  
Antonio B. S. Junior ◽  
Bismark C. Torrico ◽  
Dalton A. Honório ◽  
Tobias R. Fernandes Neto ◽  
...  
Keyword(s):  
Induction Motor ◽  
Predictive Control ◽  
Position Control ◽  
Generalized Predictive Control ◽  
Field Oriented Control

DSC-based Generalized Predictive Control Algorithm for an Indirect Field-Oriented Induction Motor Drive by using FIR filters Approach.

2021 ◽  
Author(s):  
Leonardo Duarte Milfont ◽  
Samuel Antonio M. de Oliveira ◽  
Rubem Jose N. B ◽  
Jucelino Taleires Filho ◽  
Dalton de Araujo Honorio ◽  
...  
Keyword(s):  
Induction Motor ◽  
Predictive Control ◽  
Control Algorithm ◽  
Fir Filters ◽  
Generalized Predictive Control ◽  
Motor Drive ◽  
Induction Motor Drive

SVPWM linear Generalized Predictive Control of induction motor drives

2008 ◽  
Author(s):  
Patxi Alkorta Egiguren ◽  
Oscar Barambones Caramazana ◽  
Aitor J. Garrido Hernandez ◽  
Izaskun Garrido Hernandez
Keyword(s):  
Induction Motor ◽  
Predictive Control ◽  
Motor Drives ◽  
Generalized Predictive Control ◽  
Induction Motor Drives

scholarly journals Experimental Results on Actuator/Sensor Failures in Adaptive GPC Position Control

Actuators ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 43
Author(s):  
Dariusz Horla
Keyword(s):  
Predictive Control ◽  
Position Control ◽  
Experimental Results ◽  
Generalized Predictive Control ◽  
Sensor Failure ◽  
Servo Drive ◽  
Sensor Failures ◽  
Control Framework ◽  
Free Case ◽  
Performance Deterioration

This work relates to the reliable generalized predictive control issues in the case when actuator or sensor failures take place. The experimental results that form the basis from which the conclusions are drawn from have been obtained in the position control of a servo drive task, and extend the results from the prior research of the author, dedicated to velocity control problems. On the basis of numerous experiments, it has been shown which configuration of prediction horizons is most advantageous from the control performance viewpoint in the adaptive generalized predictive control framework, to cope with the latter failures, and related to a minimum performance deterioration in comparison with the nominal, i.e., failure-free, case. This case study is the main novelty of the presented work, as the other papers available in the field rather focus on additional modifications of the predictive control framework, and not leaving possible room for optimization/alteration of prediction horizons’ values. The results are shown on the basis of the experiments conducted on the laboratory stand with the Modular Servo System of Inteco connected to a mechanical backlash module to cause actuator/sensor failure-like behavior, and with a magnetic brake module to show the performance in the case of an unexpected load.

Efficient Multivariable Generalized Predictive Control for Sensorless Induction Motor Drives

2014 ◽  
Vol 61 (9) ◽  
pp. 5126-5134 ◽  
Author(s):  
Patxi Alkorta ◽  
Oscar Barambones ◽  
Jose Antonio Cortajarena ◽  
Asier Zubizarrreta
Keyword(s):  
Induction Motor ◽  
Predictive Control ◽  
Motor Drives ◽  
Generalized Predictive Control ◽  
Induction Motor Drives

Modified Generalized Predictive Control of Networked Systems With Application to a Hydraulic Position Control System

2011 ◽  
Vol 133 (3) ◽  
Author(s):  
Bo Yu ◽  
Yang Shi ◽  
Ji Huang
Keyword(s):  
Control System ◽  
Predictive Control ◽  
Position Control ◽  
Networked Control Systems ◽  
Experimental Tests ◽  
Necessary Condition ◽  
Generalized Predictive Control ◽  
Prediction Control ◽  
Position Control System ◽  
Control Sequences

This paper is concerned with the design of networked control systems using the modified generalized predictive control (M-GPC) method. Both sensor-to-controller (S-C) and controller-to-actuator (C-A) network-induced delays are modeled by two Markov chains. M-GPC uses the available output and prediction control information at the controller node to obtain the future control sequences. Different from the conventional generalized predictive control in which only the first element in control sequences is used, M-GPC employs the whole control sequences to compensate for the time delays in S-C and C-A links. The closed-loop system is further formulated as a special jump linear system. The sufficient and necessary condition to guarantee the stochastic stability is derived. Simulation studies and experimental tests for an experimental hydraulic position control system are presented to verify the effectiveness of the proposed method.

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