Robust nonlinear predictive control of permanent magnet synchronous generator turbine using Dspace hardware

Abstract In this paper, a robust nonlinear predictive control (NLPC) is applied to a wind energy conversion system, using a variable speed turbine coupled directly to permanent magnet synchronous generator (PMSG) with PWM rectifier and a load. The principle of this control consists in elaborating a control law such that the predicted output can optimally track a desired predicted reference in presence of the disturbance. The predictive control will be optimal if the finite horizon cost function is minimized. The purpose of control in our case is to adjust the rectifier voltage amplitude and the stator current of the PMSG even with the change in wind speed. This control has-been Implemented using Dspace DS1104 card, the latter allowed us to control the system in real time. Finally, the practical results and those obtained by simulation using MATLAB/Simulink are compared to illustrate the performances of the proposed control regarding tracking of the reference and the disturbance rejection.

[1]  Seddik Bacha,et al.  Modeling of hybrid photovoltaic/wind/fuel cells power system , 2014 .

[2]  Heng Nian,et al.  Direct Active and Reactive Power Regulation of DFIG Using Sliding-Mode Control Approach , 2010, IEEE Transactions on Energy Conversion.

[3]  H. Polinder,et al.  Comparison of direct-drive and geared generator concepts for wind turbines , 2005, IEEE International Conference on Electric Machines and Drives, 2005..

[4]  Pablo Correa,et al.  A Predictive Torque Control for Inverter-fed Induction Machines , 2007, 2005 IEEE 36th Power Electronics Specialists Conference.

[5]  Jorge A. Solsona,et al.  Nonlinear control of a permanent magnet synchronous motor with disturbance torque estimation , 2000 .

[6]  Ping Lu,et al.  Optimal predictive control of continuous nonlinear systems , 1995 .

[7]  Djamila Rekioua,et al.  Direct torque control strategy of permanent magnet synchronous machines , 2003, 2003 IEEE Bologna Power Tech Conference Proceedings,.

[8]  S. Joe Qin,et al.  A survey of industrial model predictive control technology , 2003 .

[9]  F. Valenciaga.  Second order sliding power control for a variable speed-constant frequency energy conversion system , 2010 .

[10]  Wen-Hua Chen,et al.  Robust nonlinear generalized predictive control of a permanent magnet synchronous motor with an anti-windup compensator , 2010, 2010 IEEE International Symposium on Industrial Electronics.

[11]  Peter J. Gawthrop,et al.  Nonlinear PID predictive controller , 1999 .

[12]  Tayeb Allaoui,et al.  Robust control of doubly fed induction generator for stand-alone applications , 2010 .

[13]  Djamila Rekioua,et al.  Improved direct torque control of an induction generator used in a wind conversion system connected to the grid. , 2013, ISA transactions.

[14]  Djamila Rekioua,et al.  DSP-controlled direct torque control of induction machines based on modulated hysteresis control , 2009, 2009 International Conference on Microelectronics - ICM.

[15]  D. J. Ballance,et al.  MIMO nonlinear PID predictive controller , 2002 .

[16]  Ping Lu,et al.  Nonlinear predictive controllers for continuous systems , 1994 .

[17]  Seddik Bacha,et al.  A proposed strategy for power optimization of a wind energy conversion system connected to the grid , 2015 .

[18]  Mitja Nemec,et al.  Predictive Torque Control of Induction Machines using Immediate Flux Control , 2005, IEEE International Conference on Electric Machines and Drives, 2005..

[19]  Toufik Rekioua,et al.  Real time simulation of nonlinear generalized predictive control for wind energy conversion system with nonlinear observer. , 2014, ISA transactions.

[20]  A. Ouammi,et al.  Monthly and seasonal assessment of wind energy characteristics at four monitored locations in Liguria region (Italy) , 2010 .

[21]  J. Richalet,et al.  Industrial applications of model based predictive control , 1993, Autom..

[22]  Peter J. Gawthrop,et al.  Optimal control of nonlinear systems: a predictive control approach , 2003, Autom..