TY - GEN
T1 - DAC with LQR Control Design for Pitch Regulated Variable Speed Wind Turbine
AU - Imran, Raja Muhammad
AU - Hussain, Dil Muhammad Akbar
AU - Soltani, Mohsen
PY - 2014/10
Y1 - 2014/10
N2 - Disturbance Accommodation Control (DAC) is used to model and simulate a system with known disturbance waveform. This paper presents a control scheme to mitigate the effect of disturbances by using collective pitch control for the aboverated wind speed (Region III) for a variable speed wind turbine. We have used Linear Quadratic Regulator (LQR) to obtain full state feedback gain, disturbance feedback gain is calculated independently and then estimator gain is achieved by poleplacement technique in the DAC augmented plant model. The reduced order model (two-mass model) of wind turbine is used and 5MW National Renewable Energy Laboratory (NREL) wind turbine is used in this research. We have shown comparison of results relating to pitch angle, drive train torsion and generator speed obtained by a PID controller and DAC. Simulations are performed in MATLAB/Simulink. The results are compared with PID controller for a step wind and also for turbulent wind disturbance. DAC method shows better regulation in output power and less fatigue of drive train in the presence of pitch actuator limits. Proposed controller tested on wind turbine shows better robustness and stability as compared to PID. The paper describes practical experiences to develop a new DC power plant controller user interface based on humancentered design ideas.
AB - Disturbance Accommodation Control (DAC) is used to model and simulate a system with known disturbance waveform. This paper presents a control scheme to mitigate the effect of disturbances by using collective pitch control for the aboverated wind speed (Region III) for a variable speed wind turbine. We have used Linear Quadratic Regulator (LQR) to obtain full state feedback gain, disturbance feedback gain is calculated independently and then estimator gain is achieved by poleplacement technique in the DAC augmented plant model. The reduced order model (two-mass model) of wind turbine is used and 5MW National Renewable Energy Laboratory (NREL) wind turbine is used in this research. We have shown comparison of results relating to pitch angle, drive train torsion and generator speed obtained by a PID controller and DAC. Simulations are performed in MATLAB/Simulink. The results are compared with PID controller for a step wind and also for turbulent wind disturbance. DAC method shows better regulation in output power and less fatigue of drive train in the presence of pitch actuator limits. Proposed controller tested on wind turbine shows better robustness and stability as compared to PID. The paper describes practical experiences to develop a new DC power plant controller user interface based on humancentered design ideas.
U2 - 10.1109/INTLEC.2014.6972153
DO - 10.1109/INTLEC.2014.6972153
M3 - Article in proceeding
T3 - International Telecommunications Energy Conference. Proceedings
SP - 1
EP - 6
BT - Proceedings of the 2014 IEEE International Telecommunications Energy Conference (INTELEC)
PB - IEEE Press
CY - Vancouver, BC, Canada
T2 - 2014 IEEE International Telecommunications Energy Conference (INTELEC)
Y2 - 28 September 2014 through 2 October 2014
ER -