The relationship between classical and MPC horizon 1 based current regulators

Model Predictive Control approach is being extensively used by researchers in the power electronics area. Since its early introduction to the field, it has been regarded as a strategy fundamentally different to the classical control approaches, which makes it difficult to compare MPC-based schemes with the existing control schemes. This paper shows, that there exists a direct relationship between classical control approaches and MPC horizon 1 approach. By using a linear load model and a number of practically important disturbance models and applying MPC horizon 1 approach, the paper develops a variety of optimal control structures, including Finite Set MPC, Proportional Integral and Proportional Resonant current controllers. The paper established connections between the resulting optimal controllers and the existing control schemes, and outlines a strategy leading to performance improvement of any linear controller with respect to any disturbance model of interest. The findings of the paper are supported by a practical example of optimization of a Proportional Resonant controller, confirmed via simulation and experiments.

[1]  Cesar Silva,et al.  Delay Compensation in Model Predictive Current Control of a Three-Phase Inverter , 2012, IEEE Transactions on Industrial Electronics.

[2]  Marian P. Kazmierkowski,et al.  State of the Art of Finite Control Set Model Predictive Control in Power Electronics , 2013, IEEE Transactions on Industrial Informatics.

[3]  José R. Rodríguez,et al.  Predictive Torque Control of Induction Machines Based on State-Space Models , 2009, IEEE Transactions on Industrial Electronics.

[4]  Graham C. Goodwin,et al.  Harmonic suppression and delay compensation for inverters via variable horizon nonlinear model predictive control , 2015, Int. J. Control.

[5]  D. G. Holmes,et al.  Optimized Design of Stationary Frame Three Phase AC Current Regulators , 2009, IEEE Transactions on Power Electronics.

[6]  Graham C. Goodwin,et al.  Control System Design , 2000 .

[7]  Pablo Lezana,et al.  Predictive control of three-phase inverter , 2004 .

[8]  Daniel E. Quevedo,et al.  Finite-Control-Set Model Predictive Control With Improved Steady-State Performance , 2013, IEEE Transactions on Industrial Informatics.

[9]  Leopoldo G. Franquelo,et al.  Model Predictive Control: A Review of Its Applications in Power Electronics , 2014, IEEE Industrial Electronics Magazine.

[10]  G. Mirzaeva,et al.  Advanced noise shaping and filter design with Feedback Quantizer PWM , 2013, 2013 IEEE International Conference on Industrial Technology (ICIT).

[11]  U. Ammann,et al.  Model Predictive Control—A Simple and Powerful Method to Control Power Converters , 2009, IEEE Transactions on Industrial Electronics.

[12]  D. G. Holmes,et al.  High performance current regulation for low pulse ratio inverters , 2011 .

[13]  Marcelo A. Perez,et al.  Predictive frequency spectrum shaping of currents in a three phase inverter , 2013, 2013 IEEE International Symposium on Sensorless Control for Electrical Drives and Predictive Control of Electrical Drives and Power Electronics (SLED/PRECEDE).

[14]  G. Mirzaeva,et al.  A new understanding and improvements of finite set model predictive control in inverter applications , 2015, 2015 17th European Conference on Power Electronics and Applications (EPE'15 ECCE-Europe).

[15]  R. Kennel,et al.  Direct model predictive control - a new direct predictive control strategy for electrical drives , 2005, 2005 European Conference on Power Electronics and Applications.

[16]  Graham C. Goodwin,et al.  Predictive control: a historical perspective , 2012 .