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A Hybrid of Fuzzy and PID Controller for EAST AIA CASK Baking System

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Abstract

Based on the real operation requirements of experimental advanced superconducting tokamak (EAST) articulated inspection arm (AIA) CASK baking system, this paper focuses on how to achieve high accuracy of temperature control. Given the complexity of temperature control system, a hybrid of fuzzy and proportional-integral-derivative (PID) controller is designed. According to the conditions that exist, a testing experiment that simulates the CASK baking system is built. Through the analysis of the experimental results, a hybrid of fuzzy and PID control algorithm is designed as the core strategy of the temperature control system.

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References

  1. Y.T. Song, X.B. Peng, H. Xie et al., Plasma facing components of EAST[J]. Fusion Eng. Des. 85(10), 2323–2327 (2010)

    Article  Google Scholar 

  2. L. Gargiulo, P. Bayetti, V. Bruno et al., Operation of an ITER relevant inspection robot on Tore Supra tokamak[J]. Fusion Eng. Des. 84(2), 220–223 (2009)

    Article  Google Scholar 

  3. M. Parnichkun, C. Ngaecharoenkul, Kinematics control of a pneumatic system by hybrid fuzzy PID [J]. Mechatronics 11(8), 1001–1023 (2001)

    Article  Google Scholar 

  4. U.C. Moon, K.Y. Lee, Hybrid algorithm with fuzzy system and conventional PI control for the temperature control of TV glass furnace[J]. Control Syst. Technol. IEEE Trans. on 11(4), 548–554 (2003)

    Article  MathSciNet  Google Scholar 

  5. M.J. Er, Y.L. Sun, Hybrid fuzzy proportional-integral plus conventional derivative control of linear and nonlinear systems [J]. Ind. Electronics IEEE Trans. on 48(6), 1109–1117 (2001)

    Google Scholar 

  6. P. Pratumsuwan, S. Thongchai, S. Tansriwong, A hybrid of fuzzy and proportional-integral-derivative controller for electro-hydraulic position servo system [J]. Energy Res. J. 1(2), 62 (2010)

    Article  Google Scholar 

  7. Ş. Çetin, A.V. Akkaya, Simulation and hybrid fuzzy-PID control for positioning of a hydraulic system [J]. Nonlinear Dyn. 61(3), 465–476 (2010)

    Article  MATH  Google Scholar 

  8. Linlin Q, Ping L, Hongxing L. Compound fuzzy PID level control system based on WinCC and Matlab[C]//Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on. IEEE, 1: 757–760 (2011)

  9. Erenoglu I, Eksin I, Yesil E, et al. An intelligent hybrid fuzzy PID controller [C]//European Conference on Modelling and Simulation 62–67 (2006)

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Correspondence to Hongjun Tang.

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Tang, H., Wang, G., Chen, C. et al. A Hybrid of Fuzzy and PID Controller for EAST AIA CASK Baking System. J Fusion Energ 34, 42–48 (2015). https://doi.org/10.1007/s10894-014-9758-6

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  • DOI: https://doi.org/10.1007/s10894-014-9758-6

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