Dynamic Analysis of Turbo-Wind Generators and Real-time Control Using Weighted Adaptive Method Considering Uncertainties

Year 2019, Volume: 32 Issue: 2, 509 - 522, 01.06.2019

Akbar Yazdanı Vahid Behjat Mojtaba Sharıfzadeh

Abstract

Variable speed
turbo-generator control systems are consıdered as challenging issues for
engineers. Some of these issues are type of machines to be used, location
assessment, pitch angle control and maximum power extraction.  Almost all of these issues are facing a
common problem which is changing in wind speed affects power delivered to the
network. There is a novel idea in active 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 for variable speed turbo-wind generator. In
order to consider adaptability of the method, final coefficients of the control
system were considered to be weighted and stability is shown in simulation
results. The back-stepping method allows for the design of adaptive control with
the return process, and it can simultaneously regulate the stability of the
closed loop system at the same time as design the control law. The addition of
uncertainties to the problem in the form of specific coefficients due to the
present of uncertainties due to the electrical and mechanical parameters. In
the following, the designed method is simulated in MATLAB and SIMULINK.
Simulation results show favorability and effectiveness of the proposed method.

Keywords

Stability, Real-time control, Turbine dynamics, Modeling, Control design

References

• [1] H.sayyaadi and A.soltani. "Trajectory Generation and Control in a Special Transport Mission a Cable-Suspended Point –Mass Load from a Quadrotor". Gazi University Journal of Science Vol 31, Issue 2, Pages 578-598, 2018.[2] Ak, Ayça Gökhan, Galip Cansever, and Akin Delibaşı. "Trajectory Tracking Control of an Industrial Robot Manipulator Using Fuzzy SMC With RBNN." Gazi University Journal of Science 28, no. 1 (2015) :141-148. [3] J. R. Winkelman and S. H. Javid, ”Control design and performance analysis of a 6MW wind turbine generator,” IEEE Trans on PAS, Vol. 102, No. 5, May 1983: 1340-1347.[4] R. Chedid and F. Morad and M. Basm , “Intelligent Control of a Class of Wind Energy Conversion Systems,” IEEE Trans on energy conversion, Vol. 14, No. 4, Dec 2009[5] Bertašienė, Agnė, and Brian Azzopardi. "Synergies of Wind Turbine control techniques." Renewable and Sustainable Energy Reviews 45 (2015): 336-342.[6] H.D. Battista, R. J. Mantz, “Sliding mode control of torque ripple in wind energy conversion systems with slip power recovery,”IEEE 2000.[7] Bayrak, M., Nduwayezu, E., & Küçüker, A. (2016). Detection of mechanical unbalanced faults in wind turbines by using electrical measurements. Journal of the Faculty of Engineering and Architecture of Gazi University, 31(3), 687-694. doi:10.17341/gummfd.92544 [8] Y. H. Song, A. T. Johns, “Nonlinear thyristor controlled static VAR compensation,” The European Power Electronics Association, Brighton, Sept. 13-16, 1993.[9] Muljadi, Eduard, K. Pierce, and P. Migliore. "Control strategy for variable-speed, stall-regulated wind turbines." American Control Conference, 1998. Proceedings of 1998. Vol. 3. IEEE, 1998. [10] Song, Y. D., B. Dhinakaran, and X. Y. Bao. "Variable speed control of wind turbines using nonlinear and adaptive algorithms." Journal of Wind Engineering and Industrial Aerodynamics 85.3 (2000): 293-308.[11] Bianchi, Fernando D., Hernan De Battista, and Ricardo J. Mantz. Wind turbine control systems: principles, modeling and gain scheduling design. Springer Science & Business Media, 2006.[12] Kim, Kyung-Hyun, et al. "Maximum output power tracking control in variable-speed wind turbine systems considering rotor inertial power." Industrial Electronics, IEEE Transactions on 60.8 (2013): 3207-3217.[13] Odgaard, Peter F., Jakob Stoustrup, and Michel Kinnaert. "Fault-tolerant control of wind turbines: A benchmark model." Control Systems Technology, IEEE Transactions on 21.4 (2013): 1168-1182.[14] Shi, Fatao, et al. "Adaptive Fuzzy Dynamic Surface Control for Induction Motors via Backstepping." Proceedings of the 2015 Chinese Intelligent Automation Conference. Springer Berlin Heidelberg, 2015.[15] Galeazzi, Roberto, Mikkel PS Gryning, and Mogens Blanke. "Observer backstepping control for a variable speed wind turbine." American Control Conference (ACC), 2013. IEEE, 2013.Journal of Modeling in Engineering Vol. 13, No. 40, Spring 2015[16] Krstic, Miroslav, Petar V. Kokotovic, and Ioannis Kanellakopoulos. Nonlinear and adaptive control design. John Wiley & Sons, Inc., 1995.