Abstract
The power system problem is essentially nonlinear in nature. To implement different control techniques, the nonlinear model has been converted into linear one by using direct feedback linearization (DFL) method. The design of DFL-PID controller through fuzzy logic based on heuristic knowledge has been considered in this paper which reduces the number of input variables for the controller. The fuzzy-based P, PI, PD, and PID controllers have been developed, and a comparative analysis has been carried out.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zadeh, L.: Fuzzy sets. Inform. Contr. 8(3), 338–353 (1965)
Lin, Y.: Systematic approach for the design of a fuzzy power system stabilizer. In: International Conference on PowerCon 2004, vol. 1, pp. 747–752, Nov 2004
Roosta, A., Khorsand, H., Nayeripour, M.: Design and analysis of fuzzy power system stabilizer, Innovative smart grid technologies conf. Europe (ISGT Europe), 2010, pp. 1–7. IEEEPES, Oct 2010
Taher, A., Shemshad, S.A.: Design of robust fuzzy logic power system stabilizer. World Acad. Sci. Eng. Technol. 27 (2007)
Hoang, P., Tomsovic, K.: Design and analysis of an adaptive fuzzy power system stabilizer. IEEE Trans. Energy Convers. 11(2) (1996)
El-Hawary, M.E.: Electric Power Applications Of Fuzzy Systems (1988)
Leung, F.H.F., Lam, H.K., Ling, S.H., Tam, P.K.S.: Optimal and stable fuzzy controllers for nonlinear systems based on an improved GA. IEEE Trans. Ind. Electron. 51(1), 172–182 (2004)
Wong, C.C., Chen, C.C.: A GA-based method for constructing fuzzy system directly from numerical data. IEEE Trans. Syst. Manag. Cybern. B 30, 904–911 (2000)
Pierre, G.: Fuzzy logic applied to motor control. IEEE Trans. Ind. Appl. 32(1), 51–56 (1996)
Ziegler, J.G., Nichols, N.B.: Optimum setting for automatic controllers. Trans. ASME 64(11), 759–65 (1942)
Rekha, Stabilizing PID controller for a class of nonlinear power systems, Ph. D thesis, 2017
Wang, Y., Hill, D.J., Gao, L., Middleton, R.H.: Transient stability enhancement and voltage regulation of power systems. IEEE Trans. Power Syst. 8(2), 620–627 (1993)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Appendix
Appendix
The simulation data in this paper has been taken from Wang et al. paper [12].
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Rekha, Singh, A.K. (2019). Design of Fuzzy Logic-Based Controller for Nonlinear Power Systems. In: Nayak, J., Abraham, A., Krishna, B., Chandra Sekhar, G., Das, A. (eds) Soft Computing in Data Analytics . Advances in Intelligent Systems and Computing, vol 758. Springer, Singapore. https://doi.org/10.1007/978-981-13-0514-6_29
Download citation
DOI: https://doi.org/10.1007/978-981-13-0514-6_29
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-0513-9
Online ISBN: 978-981-13-0514-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)