Tuning of PID controllers based on gain and phase margin specifications using fuzzy neural network

Fuzzy Sets and Systems

Volumn 101, Issue 1, 1999, Pages 21-30

  Chu, Sheng Yuan ^a   Teng, Ching Cheng ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

Fuzzy neural network; Gain and phase margin; PID tuning; Process control

Indexed keywords

COMPUTER SIMULATION; FREQUENCY RESPONSE; FUZZY SETS; LINEAR EQUATIONS; NEURAL NETWORKS; NUMERICAL METHODS; PROCESS CONTROL; ROBUSTNESS (CONTROL SYSTEMS);

FUZZY NEURAL NETWORK; GAIN MARGIN; PHASE MARGIN;

THREE TERM CONTROL SYSTEMS;

EID: 0032784785     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0114(97)00039-0     Document Type: Article

References (9)

1. A.G. Barto, R.S. Sutton, C.W. Anderson, Neuronlike adaptive elements that can solve difficult learning control problems, IEEE Trans. Systems Man Cybernet. SMC-13 (1983) 834-846.
2. I.-L. Chien, P.S. Fruehauf, Consider IMC tuning to improve controller performance, Chem. Eng. Progr. 86(10) (1990) 33-41.
3. G.H. Cohen, G.A. Coon, Theoretical consideration of retarded control, Trans. ASME 75 (1953) 827-834.
4. W.K. Ho, C.C. Hang, L.S. Cao, Tuning of PID controllers based on gain and phase margin specification, Automatica 31 (1995) 497-502.
5. T.C. Hsia, System Identification: Least-Squares Methods, Heath, New York, 1977.
6. J.-S.R. Jang, C.T. Sun, Neuro-Fuzzy Modeling and Control, Proc. IEEE 83 (1995) 378-405.
7. D.E. Rumelhart, G.E. Hinton, R.J. Williams, Learning internal representations by error propagation, in: D.E. Rumelhart, J.L. McClelland (Eds.), Parallel Distributed: Explorations in Microstructure of Cognition, vol. 1, MIT Press, Cambridge, MA, 1986, Chap. 8, pp. 318-362.
8. J.X. Xu, C. In, C.C. Hang, Tuning and analysis of a fuzzy logic controller based on gain and phase margins, Proc. American Control Conf., 1995, pp. 3234-3238.
9. R.R. Yager, D.P. Filev, Essentials of Fuzzy Modeling and Control, Wiley, New York, 1994.