2011
DOI: 10.1016/j.nucengdes.2011.02.029
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Output-feedback load-following control of nuclear reactors based on a dissipative high gain filter

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Cited by 22 publications
(15 citation statements)
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“…The improved PWR core power LQG/LTR control system was achieved by Arab-Alibeik et al [9] based on SFAC, where there are an inner loop to regulate reference load signals and a outer loop to control model outputs. Dong et al [10][11][12][13][14] presented a physically-based feedback control approach with observers such as a dissipative high gain filter to devise reactor core powerlevel control systems. A multi-model feedback control with a state observer was proposed by Wu et al [15] to carry out power regulations of a PWR core.…”
Section: Feedback Control With State Observermentioning
confidence: 99%
See 1 more Smart Citation
“…The improved PWR core power LQG/LTR control system was achieved by Arab-Alibeik et al [9] based on SFAC, where there are an inner loop to regulate reference load signals and a outer loop to control model outputs. Dong et al [10][11][12][13][14] presented a physically-based feedback control approach with observers such as a dissipative high gain filter to devise reactor core powerlevel control systems. A multi-model feedback control with a state observer was proposed by Wu et al [15] to carry out power regulations of a PWR core.…”
Section: Feedback Control With State Observermentioning
confidence: 99%
“…Improving power regulation technology of cores by the introduction of control algorithms is an important measure for safety and availability of NPPs. Over the decades, many control algorithms have been exploited and applied by researchers to core power regulations, which are the stateor output-feedback control with a state observer [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17], the optimal control [18,19], the neural network or fuzzy intelligent control [20][21][22][23][24][25], the model predictive control [26][27][28], the H ∞ robust control [29][30][31], the sliding model control [32][33][34][35], the fractional order control [36][37][38][39][40][41] and other control algorithms [42][43][44][45][46][47]…”
Section: Introductionmentioning
confidence: 99%
“…The IDA-PLC is composed of a nonlinear state-feedback power-level regulator and a state observer. The regulator is realized by adding damping terms iteratively through state-feedback, and the observer just adopts the well-built dissipation based high-gain filter (DHGF) [24,25]. The IDA-PLC is an L 2 disturbance attenuator when there exist exterior disturbances or modeling uncertainties, and it guarantees the globally asymptotic closed-loop stability if there is no disturbance and uncertainty.…”
Section: Open Accessmentioning
confidence: 99%
“…Lemma 1 [24,25]: Consider nonlinear system Equation (67) with State-observer Equation (68), and here suppose that:…”
Section: Observation Strategymentioning
confidence: 99%
“…Shtessel gave a nonlinear power-level regulator based on sliding mode control and observation tech-niques for space reactor TOPAZ II [5]. Dong designed a dynamic output feedback dissipation power-level control for the pressurized water reactors (PWRs) [6] by the use of the backstepping technique [7] and dissipation-based high gain filter (DHGF) [8,9]. Etchepareborda and Eliasi proposed the nonlinear MPC (NMPC) method for PWR power-level control design [10][11][12].…”
Section: Introductionmentioning
confidence: 99%