Adaption of Intelligent System for Power Generation

Authors

  • Prof. Subodh Panda  Department of Electronics &communication, G I E T, Gunupur, Odisha, India
  • Sangram Keshari Rath  Department of Electronics &communication, G I E T, Gunupur, Odisha, India
  • Rajat Kumar Sahu  Department of Electronics &communication, G I E T, Gunupur, Odisha, India
  • Jyotirmayee Nissa  Department of Electronics &communication, G I E T, Gunupur, Odisha, India

Keywords:

PID Controller, Hybrid Control .Combustion Efficiency, Air To Fuel Ratio Nonlinear System.

Abstract

It has been observed that fuzzy PID produced an comparable or even better control performance then the traditional PID controller or fuzzy control alone. As intelligent PID is capable of learning and extracting required control rules automatically from the controller environment. The fuzzy overcome fixed gain of PID and take the support nonlinear mapping of fuzzy which make it more suitable for complex process. The theoretical study and practical application indicate that the application of intelligent PID controller in thermal power plant process monitoring and control is profitable, effective and acceptable by control engineering system This design controller used for air to fuel ratio optimisation in the combustion process of a power plant boiler and this optimization of air to fuel ratio through this controller reduce the excess air level and improve the combustion efficiency.

References

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Published

2017-04-30

Issue

Section

Research Articles

How to Cite

[1]
Prof. Subodh Panda, Sangram Keshari Rath, Rajat Kumar Sahu, Jyotirmayee Nissa, " Adaption of Intelligent System for Power Generation, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.888-891, March-April-2017.