Abstract and keywords
Abstract (English):
This paper provides a new style of nonlinear PID controller that is based on artificial neural network (ANN). The ANN is used to realize PID formula and the genetic algorithm is used to search parameter of the nonlinear activation function. The performance of the proposed method is compared with the conventional PID methods for a dynamic plant using MATLAB/Simulink software package.

Keywords:
нейроуправление, ПИД-регулятор, генетический алгоритм, neurocontrol, PID controller, genetic algorithm
References

1. K. J. Astrom, T. Hagglund, Advanced PID control. ISA The Instrumentation, System, and Automation Society // 2006. 460 p.

2. G. Olsson, Dzh. P'yani, Cifrovye sistemy avtomatizacii i upravleniya. SPb, 2001. 577 s.

3. M.V. Burakov, A.S. Konovalov, Sintez nechetkih logicheskih regulyatorov // Informacionno-upravlyayuschie sistemy, 1, S. 14-19 (2011).

4. M.V. Burakov, Sintez neyronnogo regulyatora // Izv. Akademii nauk. Teoriya i sistemy upravleniya, 3, S.140-145 (1999).

5. S. Omatu, M. Yoshioka, T. Fujinaka, Neuro-PID Control for Electric Vehicle // Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.15 No.7, 2011. pp. 846-852.

6. S. Zeng, H. Hu, L Xu, G Li, Nonlinear Adaptive PID Control for Greenhouse Environment Based on RBF Network // Sensors 2012, 12, pp. 5328-5348.

7. W. Lu, J Yang, X Liu, The PID Controller Based on the Artificial Neural Network and the Differential Evolution Algorithm // Journal of computers, vol. 7, 10, 2012, pp. 2368-2375.

8. M.V. Burakov, T.G. Polyakova, Neyronnyy supervizor dlya upravleniya nelineynym ob'ektom // Sb. dokl. «Zavalishinskie chteniya’12», SPb: GUAP, S.23-27 (2010).

9. M.V. Burakov, Geneticheskiy algoritm: teoriya i praktika. SPb: GUAP, 2008. 164 s.

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