A new measure of the degree of controllability for linear system with external disturbance and its application to wind turbines

This paper is concerned with the measure of degree of controllability (DOC) for linear system with external disturbance. A new measure of DOC, in which the initial condition is regarded as a random vector, is proposed in this paper by solving the fixed-time expected minimum-energy transfer control problem. Since this new measure is dependent on the statistical information of initial condition rather than its estimated value, it is more suitable to apply the proposed measure in the design and optimization of the structural parameters of controlled plants. Furthermore, the simulations on the NREL (National Renewable Energy Laboratory) CART3 wind turbine demonstrate that the relation of the proposed measure to turbine parameters (including rotor inertia and optimum tip speed ratio) coincides with that of the MPPT efficiency to turbine parameters. This indicates that the proposed measure is applicable to guide the design and optimization of the structural parameters of wind turbines. Meanwhile, a mass-spring-damper system is also simulated to validate the proposed measure.

[1]  Youngjin Park,et al.  New Measure Representing Degree of Controllability for Disturbance Rejection , 2009 .

[2]  Nesimi Ertugrul,et al.  Dynamic wind turbine output power reduction under varying wind speed conditions due to inertia , 2013 .

[3]  Peng Li,et al.  Maximum power point tracking for wind power systems with an improved control and extremum seeking strategy , 2014 .

[4]  Jan Pierik,et al.  Inertial response of variable speed wind turbines , 2006 .

[5]  Richard W. Longman,et al.  A degree of controllability definition - Fundamental concepts and application to modal systems , 1984 .

[6]  C. Paige Properties of numerical algorithms related to computing controllability , 1981 .

[7]  Haemin Lee,et al.  Quantitative Measures of output noise sensitivities of linear systems in modal domain , 2012, 2012 12th International Conference on Control, Automation and Systems.

[8]  Marghub Alam Mirza,et al.  Optimal Actuator Placement for Active Vibration Control With Known Disturbances , 1999 .

[9]  A. Sanand Amita Dilip,et al.  The Controllability Gramian, the Hadamard Product, and the Optimal Actuator/Leader and Sensor Selection Problem , 2019, IEEE Control Systems Letters.

[10]  Youngjin Park,et al.  Actuator and Exciter Placement for Flexible Structures , 1997 .

[11]  B. Jonkman Turbsim User's Guide: Version 1.50 , 2009 .

[12]  R. E. Kalman,et al.  Controllability of linear dynamical systems , 1963 .

[13]  Haemin Lee,et al.  Degree of controllability for linear unstable systems , 2016 .

[14]  Youn-sik Park,et al.  Quantitative measures of compensation capabilities and output noise sensitivities of linear systems , 2011, 2011 11th International Conference on Control, Automation and Systems.

[15]  Houria Siguerdidjane,et al.  Nonlinear Control of a Variable-Speed Wind Turbine Using a Two-Mass Model , 2011, IEEE Transactions on Energy Conversion.

[16]  Alan Wright,et al.  Wind Turbine Control Design to Reduce Capital Costs , 2009 .

[17]  Luis T. Aguilar,et al.  Analysis and synthesis of sliding mode control for large scale variable speed wind turbine for power optimization , 2014 .

[18]  Shui-Nee Chow,et al.  Lyapunov theory and perturbation of stable and asymptotically stable systems , 1974 .

[19]  Carlo L. Bottasso,et al.  Multi-Disciplinary Optimization of Wind Turbines Using Comprehensive Aero-Servo-Elastic Models , 2009 .

[20]  Biswajit Basu,et al.  Active Tuned Mass Damper Control of Wind Turbine Nacelle/Tower Vibrations with Damaged Foundations , 2013 .

[21]  H. Weber,et al.  Analysis and optimization of certain qualities of controllability and observability for linear dynamical systems , 1972 .

[22]  Karolos M. Grigoriadis,et al.  Wind turbine integrated structural and LPV control design for improved closed-loop performance , 2012, Int. J. Control.

[23]  Dong-Choon Lee,et al.  Maximum Output Power Tracking Control in Variable-Speed Wind Turbine Systems Considering Rotor Inertial Power , 2013, IEEE Transactions on Industrial Electronics.

[24]  M. Vitelli,et al.  Optimization of perturb and observe maximum power point tracking method , 2005, IEEE Transactions on Power Electronics.

[25]  Biswajit Basu,et al.  Dynamics and control of vibrations in wind turbines with variable rotor speed , 2013 .

[26]  Carlo L. Bottasso,et al.  Aero-servo-elastic modeling and control of wind turbines using finite-element multibody procedures , 2006 .

[27]  Zou Yun,et al.  Investigation on the degree of controllability of wind turbines for the maximum power point tracking , 2014, Proceedings of the 33rd Chinese Control Conference.