Improvement of de-NOx device control performance using a software sensor

Control Engineering Practice

Volumn 6, Issue 10, 1998, Pages 1267-1276

  Matsumura, S ^a   Iwahara, T ^b   Ogata, K ^c   Fujii, S ^d   Suzuki, M ^e  

^a SimTech KK   (Japan)

^b CHUBU ELECTRIC POWER CO INC   (Japan)

^c NAGOYA UNIVERSITY   (Japan)

^d DAIDO UNIVERSITY   (Japan)

^e Bailey Japan Co Ltd   (Japan)

Author keywords

ARX models; Nox; Parameter estimation; Recursive least squares; System identification

Indexed keywords

ELECTRIC POWER PLANTS; FLUE GASES; GAS EMISSIONS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; NITROGEN OXIDES; PREDICTIVE CONTROL SYSTEMS; REGRESSION ANALYSIS;

GAS INJECTION; SOFTWARE SENSOR;

PARAMETER ESTIMATION;

EID: 0032182312     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0967-0661(98)00127-0     Document Type: Article

References (5)

1. x control system for fossil-fired power plants. IFAC Symp. on Control of Power Plants and Power Systems SIPOWER'95, Cancun, Mexico.
2. x plant. Int. Conf. on Power Engineering ICOPE-97, Tokyo, Japan.
3. Akaike, H. (1978). Information theory and an extension of maximum likelihood principle. In B.N. Retrov, & F. Csaki (eds.), 2nd Int. Symp. On Information Theory (pp. 267-281). Budapest Akademiai Kiado, Budapest.
4. Landau, I.D., & Tomizuka, M. (1981). Theory and Practice of Adaptive Control Systems (pp. 75-84). (In Japanese). Ohm-sha, Japan.
5. Nui, S., Fisher, D.G., & Xiao, D. (1992). An augmented UD identification algorithm. Journal of Control, 56(1), 199-211.