2004
DOI: 10.1109/tns.2004.825100
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Fuzzy-Adapted Recursive Sliding-Mode Controller Design for a Nuclear Power Plant Control

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Cited by 61 publications
(15 citation statements)
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“…The additional ABWR control approaches include multivariable fuzzy-logic control (FLC) and fuzzy adapted recursive sliding mode control (FARSMC) in the MS Thesis and PhD dissertation of Huang [24,25,44,48,50,55]. The adaptation of these advanced control techniques for the desired experimental validation in the HRLS is still hampered by the inability to reliability operate the loop in a stable manner; thus, a major effort was initiated to develop stability analysis of the testloop, which is expected to lead to another dissertation.…”
Section: Additional Work Peformedmentioning
confidence: 99%
“…The additional ABWR control approaches include multivariable fuzzy-logic control (FLC) and fuzzy adapted recursive sliding mode control (FARSMC) in the MS Thesis and PhD dissertation of Huang [24,25,44,48,50,55]. The adaptation of these advanced control techniques for the desired experimental validation in the HRLS is still hampered by the inability to reliability operate the loop in a stable manner; thus, a major effort was initiated to develop stability analysis of the testloop, which is expected to lead to another dissertation.…”
Section: Additional Work Peformedmentioning
confidence: 99%
“…Shtessel proposed a sliding-mode plant control and state-observation strategy for space nuclear energy system TOPAZ II [21]. Huang et al gave a multi-input-multioutput (MIMO) fuzzy-adapted recursive sliding-mode plant controller for an advanced boiling water reactor (ABWR) nuclear power plant [22]. In order to achieve safe, stable, and efficient operation of the HTR-PM plant, it is necessary to give the lumped parameter model of the main plant dynamics and to propose proper plant control strategy.…”
Section: Introductionmentioning
confidence: 99%
“…Due to the intrinsic chattering effect of the SMC, the recursive sliding mode control (RSMC) method was introduced by Huang, Edwards and Lee to solve the chattering problem and to improve the robustness. Based on the RSMC method, a fuzzy-adapted nonlinear power-level control law was designed for the advanced boiling water reactors (ABWR) [10]. The physics-based control (PBC) method is also an effective way to design nonlinear reactor control laws by retaining or strengthening stable subdynamics and by cancelling or suppressing unstable subdynamics, which has been applied to the load-following control design for the PWRs (Pressurized Water Reactors) [11][12][13] and MHTGRs [14,15] recently.…”
Section: Introductionmentioning
confidence: 99%
“…However, these control laws have the drawback of heavy model-reliance. Some control laws needs the state prediction or observation directly based upon the reactor or SG models [9][10][11][12][14][15][16][17], and the control parameters also vary with the reactor or SG physical and thermal-hydraulic parameters [9][10][11][12][13][14][15][16][17][18], which leads to the difficulty in practically tuning and implementation. Therefore, it is necessary to develop model-free control methods to relieve the heavy model reliance of the designed control strategies.…”
Section: Introductionmentioning
confidence: 99%