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Patxi Alkorta [1] and Oscar Barambones [2] and Asier Zubizarreta [3] and José Antonio Cortajarena [1,4; ]

Academic Editor: Bo-Chao Zheng

, 1, , Department of Automatic Control and Systems Engineering, , EUITI de Eibar, , University of the Basque Country (UPV/EHU), , Otaola Hiribidea 29, , 20600 Eibar, , Spain, , ehu.es,

, 2, , Department of Automatic Control and Systems Engineering, , EUI de Vitoria-Gasteiz, , University of the Basque Country (UPV/EHU), , Nieves Cano 12, , 01006 Vitoria-Gasteiz, , Spain, , ehu.es,

, 3, , Department of Automatic Control and Systems Engineering, , ETSI de Bilbao, , University of the Basque Country (UPV/EHU), , Alameda Urquijo s/n, , 48013 Bilbao, , Spain, , ehu.es,

, 4, , Department of Electronics Technology, , EUITI de Eibar, , University of The Basque Country (UPV/EHU), , Otaola Hiribidea 29, , 20600 Eibar, , Spain, , ehu.es,

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

1. Introduction

The Model Predictive Control (MPC) groups a set of controllers which are based on the model of the system and the known future reference for optimal control signal calculation. The operational principle of predictive control is to calculate in advance the control signal required by the system, when the future input reference that will be applied is known beforehand [1]. In this sense, the system is able to react to the input reference, anticipating its changes and avoiding the effects of delay in system response [2]. There are countless applications in industry where the input reference is known beforehand, such as robotic systems, and machine tools. Therefore, in all these systems predictive control algorithms can be implemented. Since Clarke et al. proposed the design principles of Generalized Predictive Control [3, 4], many authors have used this advanced technique for induction motor control in the last two decades. There is extensive research related to the application of predictive controllers in electric drives, and, for this reason, predictive algorithms compete with other advanced control techniques such as fuzzy control [5], sliding mode control [6, 7], and nonlinear H inf control [8].

Predictive algorithms are often implemented using two or...

     

 

   

              
   
    

 

                 

   

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