This paper presents the control strategy of a fossilfuel power plant. In previous work, an advanced coordinated controller was synthesized to achieve stability with satisfying performances. This controller was implemented on-site leading to satisfactory results. However, mainly because of modeling uncertainties, the obtained performances could be non-optimal, with the risk of non-satisfaction of contract specification. In order to improve the plant behavior on-site, a new controller is added to the previous one. It consists in applying an additional control input computed from the error between the system output and a desired output trajectory. This Additional Inverse Model Controller (AIMC) is based on an inverse model of the plant and low-pass filters with small DC gain. The efficiency of the proposed control strategy is illustrated through realistic simulations and compared to the initial controller performance.
[1]
P. Khargonekar,et al.
State-space solutions to standard H/sub 2/ and H/sub infinity / control problems
,
1989
.
[2]
Norbert Wiener,et al.
Extrapolation, Interpolation, and Smoothing of Stationary Time Series, with Engineering Applications
,
1949
.
[3]
Evanghelos Zafiriou,et al.
Robust process control
,
1987
.
[4]
P. Khargonekar,et al.
State-space solutions to standard H2 and H∞ control problems
,
1988,
1988 American Control Conference.
[5]
Bernard Widrow.
Adaptive inverse control
,
1990,
Defense, Security, and Sensing.
[6]
Norbert Wiener,et al.
Extrapolation, Interpolation, and Smoothing of Stationary Time Series
,
1964
.
[7]
Bernard Widrow,et al.
Adaptive Signal Processing
,
1985
.