Earticle

초록

영어

In this paper, a hybrid PSO_Fuzzy_PID controller is designed for speed control of a gas turbine. The aim of the controller is to maintain the turbine speed and the exhaust temperature in a desired interval during startup and operating condition. Here, different parts of the fuzzy controller such as fuzzification, rule base, inference engine, defuzzification, and particle swarm optimization (PSO) algorithm are presented. computer simulations of the controller and gas turbine based on Matlab / simulink simulation platform are performed to investigate the effectiveness of the proposed algorithm. The performance of the proposed algorithm is evaluated during startup and operating condition of the gas turbine. Simulation results well show that the response of the PSO_Fuzzy_PID controller is effectively improved compared with other controllers. The characteristics of the step response such as rise time, settling time and overshoot are considerably decreased, and the value of the steady state error is minimized.

목차

Abstract
 1. Introduction
 2. Gas Turbine Modeling
 3. PSO_Fuzzy_PID Controller Application for Gas Turbine Speed Control
  3.1. Fuzzy Logic Structure
  3.2. PSO Algorithm
 4. Simulation Results Analysis
  4.1. Startup
  4.2. Operating Condition
 5. Conclusion
 References

키워드

저자

• Azadeh Mansouri Mansourabad [ Department of Technical and Engineering, International Campus-Kish Island, Tehran University, Kish, Iran ]
• Mohammad Taghi Hamidi Beheshti [ Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran ]
• Mohsen Simab [ Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Fars, Iran ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605