Dynamic Analysis of Turbo-Wind Generators and Real-Time Control Using Weighted Adaptive Method Considering Uncertainties
Dynamic Analysis of Turbo-Wind Generators and Real-Time Control Using Weighted Adaptive Method Considering Uncertainties
Variable speed turbo-generator control systems are consıdered as challenging issues forengineers. Some of these issues are type of machines to be used, location assessment, pitch anglecontrol and maximum power extraction. Almost all of these issues are facing a common problemwhich is changing in wind speed affects power delivered to the network. There is a novel idea inactive control of wind turbine which has been developed to obtain maximum utilization of energy.In this study, adaptive BACK-STEPPING control laws were designed and implemented forvariable speed turbo-wind generator. In order to consider adaptability of the method, finalcoefficients of the control system were considered to be weighted and stability is shown insimulation results. The back-stepping method allows for the design of adaptive control with thereturn process, and it can simultaneously regulate the stability of the closed loop system at thesame time as design the control law. The addition of uncertainties to the problem in the form ofspecific coefficients due to the present of uncertainties due to the electrical and mechanicalparameters. In the following, the designed method is simulated in MATLAB and SIMULINK.Simulation results show favorability and effectiveness of the proposed method.
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- Babu, S., Loganathan, A.k., Vairavasundaram, I., "Optimizing Electrical Generators of Wind Energy
Conversion System for Efficient Power Extraction," Gazi University Journal of Science, 31:(4), 1141-
1154, (2018).
- Güneş, H., Kunt, M.A., "Control unit design for a pneumatic engine working with an electromagnetic
valve and its effect on the performance of the engine," Journal of the Faculty of Engineering and
Architecture of Gazi University, 31:(1), 1-8, (2016).
- Özkan, B., "Implementation of the sliding mode control method with a varying sliding surface on an
electromechanical fin actuation system," Journal of the Faculty of Engineering and Architecture of
Gazi University, 32:(3), 987-998, (2017).
- Kiyak, E. and Ermeydan, A., "Fault tolerant flight control system design to a rotary wing aircraft,"
Journal of the Faculty of Engineering and Architecture of Gazi University, 32(1), 21-34. doi: 10.
17341/ gazimmfd. 300591, (2017).
- Winkelman, J.R. and Javid, S.H., "Control design and performance analysis of a 6MW wind turbine
generator," IEEE Trans on PAS, Vol. 102, No. 5: 1340-1347. May, (1983).
- Chedid, R. and Morad, F. and Basm, M., "Intelligent Control of a Class of Wind Energy Conversion
Systems," IEEE Trans on energy conversion, Vol. 14, No. 4, Dec, (2009).
- Agnė, B. and Azzopardi, B., "Synergies of Wind Turbine control techniques," Renewable and
Sustainable Energy Reviews 45: 336-342, (2015).
- Battista, H.D., R., Mantz, R.J., "Sliding mode control of torque ripple in wind energy conversion
systems with slip power recovery," IEEE, (2000).
- Na, W., Muljadi, E., Leighty, B. and Kim, J., "Active Power and Flux Control of a Self-Excited
Induction Generator for a Variable-Speed Wind Turbine Generation," Green Technologies
Conference, Ninth Annual IEEE, (2017).
- Mahieddine, K.B., Rachedi, A., Bahi, T., Lakel, R. and Grid, A., "Robust Control of Doubly Fed
Induction Generator for Wind Turbine under Sub-Synchronous Operation Mode," Elsevier, Energy
Procedia 74: 886–899, (2015).
- Song, Y. D., Dhinakaran, B. and Bao, X.Y., "Variable speed control of wind turbines using nonlinear
and adaptive algorithms," Journal of Wind Engineering and Industrial Aerodynamics 85: (3), 293-308,
(2000).
- Fernando, B. Battista, D.H. and Mantz, R.J., E-ISBN 1-84628-493-7. Wind turbine control systems
principles, modeling and gain scheduling design, Springer Science & Business Media, (2006).
- Kyung-Hyun, K., et al., "Maximum output power tracking control in variable-speed wind turbine
systems considering rotor inertial power". Industrial Electronics, IEEE Transactions on 60: (8), 3207-
3217, (2013).
- Peter, O.F., Stoustrup, J. and Kinnaert, M., "Fault-tolerant control of wind turbines A benchmark
model". Control Systems Technology, IEEE Transactions on 21:(4),1168-1182, (2013).
- Fatao, S., et al., "Adaptive Fuzzy Dynamic Surface Control for Induction Motors via Back-stepping".
Proceedings of the 2015 Chinese Intelligent Automation Conference. Springer Berlin Heidelberg,
(2015).
- Wang J., "Speed-assigned Position Tracking Control of SRM with Adaptive Back-stepping Control".
Ieee/Caa Journal Of Automatica Sinica. 10.1109/JAS. 7510019, (2016).
- Kokotovic, P.K. and Kanellakopoulos, I., Nonlinear and adaptive control design. John Wiley & Sons,
Inc, (1995).
- Yang, Z., Su, H. and Krstic, M., "Adaptive back-stepping control of uncertain linear systems under
unknown actuator delay." Automatica 54: 256-265, (2015).
- Fang, W., Hua, C. and Zong, Q., "Attitude control of reusable launch vehicle in reentry phase with
input constraint via robust adaptive back-stepping control." International Journal of Adaptive Control
and Signal Processing, (2015).
- Sharifzadeh, M., Timpone, F., Senatore, A., Farnam, A., Akbari, A., & Russo, M. (2017). Real time
tyre forces estimation for advanced vehicle control. International Journal of Mechanics and Control,
18:(2), 77-84, (2017).