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Design, Simulation and Implementation of a Fuzzy-PID Controller for Controlling a DC-DC Converter

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Advances in Neural Networks – ISNN 2009 (ISNN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5552))

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Abstract

This paper presents the design, simulation and implementation of hybrid powerful Fuzzy-PID (FZ-PID) controller. The arithmetic of PID control is simple and the stability of it is good. However, the dynamic characteristics of PID control are poor [3]. The fuzzy logic control method is flexible and adaptive and does not rely on a mathematical model of the system and can deal with the nonlinearity of parameters and uncertain problems [1]. This general-purpose FZ-PID regulates the output voltage of a Full Bridge dc-dc converter and experimentally tested. This controller based on a qualitative description of the system to be controlled and its implementation is relatively simple. Experimental results show that this controller can guarantee a small variation of voltage in working point and keep these parameters in safe and stable condition and an improved large-signal response. Finally Results of such a control system is compared with a pure fuzzy controller and results show that new hybrid FZ-PID controller provides better system responses and control potentialities.

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© 2009 Springer-Verlag Berlin Heidelberg

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Jafari, M., Malekjamshidi, Z. (2009). Design, Simulation and Implementation of a Fuzzy-PID Controller for Controlling a DC-DC Converter. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01510-6_115

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  • DOI: https://doi.org/10.1007/978-3-642-01510-6_115

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01509-0

  • Online ISBN: 978-3-642-01510-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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