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Application of Fuzzy Neural-PID Controller in the Static Inverter’s Simulation

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 237))

Abstract

This article proposes Fuzzy Neural PID controller plan to increase the quality of the Static Inverter output voltage. This strategy has advantages of fuzzy logic and neural network. This plan is combined with the steady performance advantages of PID control, so that it adjusts controlled variable in real time. The system is simulated under the circumstance of the Static Inverter. Compared with the fuzzy PID control, the analysis of the fuzzy neural PID controller simulation result shows that the control system has good performance of auto-adaptive capacity and it meets the requirements of the high robustness and quickness in the system.

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References

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Correspondence to Bo Fan .

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© 2014 Springer International Publishing Switzerland

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Fan, B., Wu, J., Niu, J., Zhang, A., Liu, J. (2014). Application of Fuzzy Neural-PID Controller in the Static Inverter’s Simulation. In: Wang, W. (eds) Mechatronics and Automatic Control Systems. Lecture Notes in Electrical Engineering, vol 237. Springer, Cham. https://doi.org/10.1007/978-3-319-01273-5_20

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  • DOI: https://doi.org/10.1007/978-3-319-01273-5_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01272-8

  • Online ISBN: 978-3-319-01273-5

  • eBook Packages: EngineeringEngineering (R0)

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