Abstract
The controllers are interesting type of information systems. Their structure and parameters for atypical applications usually are selected by trial and error method, which can be time-consuming. In this paper a controller structure, which is an ensemble of PID controller and fuzzy system, and an automatic evolutionary method for its construction is presented. The significant feature of proposed method is that the controller elements, that increase its complexity but do not improve the controller precision in the sense of the adopted evaluation function, can be reduced. Moreover, this method allows to use the knowledge of the controlled object. A typical control problem has been used to test the authors approach.
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References
Alia, M.A.K., Younes, T.M., Alsabbah, S.A.: A design of a PID self-tuning controller using LabVIEW. J. Softw. Eng. Appl. 4, 161–171 (2011)
Borzemski, L., Kliber, M., Nowak, Z.: Using data mining algorithms in web performance prediction. Cybern. Syst. Int. J. 40(2), 176–187 (2009)
Boyd, S., Hast, M., Åström, K.J.: MIMO PID tuning via iterated LMI restriction. Int. J. Robust Nonlinear Control 26, 1718–1731 (2016)
Cheng, S., Li, C.W.: Fuzzy PDFF-IIR controller for PMSM drive systems. Control Eng. Pract. 19, 828–835 (2011)
Cpałka, K.: Design of Interpretable Fuzzy Systems. Springer, Heidelberg (2017)
Klement, E.P., Mesiar, R., Pap, E.: Triangular Norms. Springer, New York (2000)
Lan, K., Sekiyama, K.: Autonomous viewpoint selection of robot based on aesthetic evaluation of a scene. J. Artif. Intell. Soft Comput. Res. 6(4), 255–265 (2016)
Łapa, K., Szczypta, J., Saito, T.: Aspects of evolutionary construction of new flexible PID-fuzzy controller. Artif. Intell. Soft Comput. 9692, 450–464 (2016)
Łapa, K., Cpałka, K., Przybył, A., Saito, T.: Fuzzy PID controllers with FIR filtering and a method for their construction. In: Artificial Intelligence and Soft Computing. Springer (2017). (in print)
Leva, A., Papadopoulos, A.V.: Tuning of event-based industrial controllers with simple stability guarantees. J. Process Control 23, 1251–1260 (2013)
Maggio, M., Bonvini, M., Leva, A.: The PID + p controller structure and its contextual autotuning. J. Process Control 22, 1237–1245 (2012)
Melanie, M.: An Introduction to Genetic Algorithms. MIT Press, Cambridge (1999)
Pamar, K., Arvapalli, R., Sadhu, Y., Viswaraju, S.: Cascaded PID controller design for heating furnace temperature control. IOSR J. Electron. Commun. Eng. 5(3), 76–83 (2013)
Przybył, A., Łapa, K., Szczypta, J., Wang, L.: The method of the evolutionary designing the elastic controller structure. In: Artificial Intelligence and Soft Computing, vol. 9692, pp. 476–492 (2016)
Ribica, A.I., Mataušek, M.R.: A dead-time compensating PID controller structure and robust tuning. J. Process Control 22, 1340–1349 (2012)
Rutkowski, L.: Computational Intelligence. Springer, Heidelberg (2008)
Segovia, R.V., Hägglund, T., Aström, K.J.: Noise filtering in PI and PID control. In: American Control Conference, pp. 1763–1770 (2013)
Acknowledgment
The project was financed by the National Science Centre (Poland) on the basis of the decision number DEC-2012/05/B/ST7/02138.
The authors would like to thank the reviewers for very helpful suggestions and comments in the revision process.
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Łapa, K., Cpałka, K. (2018). PID-Fuzzy Controllers with Dynamic Structure and Evolutionary Method for Their Construction. In: Borzemski, L., Świątek, J., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology – ISAT 2017. ISAT 2017. Advances in Intelligent Systems and Computing, vol 655. Springer, Cham. https://doi.org/10.1007/978-3-319-67220-5_13
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DOI: https://doi.org/10.1007/978-3-319-67220-5_13
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