Adaptive estimator-based dynamic sliding mode control for the water level of nuclear steam generators

Ansarifar, G.R.; Talebi, Heidar Ali; Davilu, Hadi

doi:10.1016/j.pnucene.2011.12.008

Cited by 28 publications

(14 citation statements)

References 13 publications

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“…namely, the system parameter a 2 = 5.84 × 10 −3 in the second-order system (10). We adopted the same controller parameters of ADRC and MADRC, i.e., ω o = 0.03 and ω c = 0.0035, which satisfy the noise reduction condition ω o ≥ ω c ≥ 0.4a 2 .…”

Section: Noise Reduction Simulation Comparisonmentioning

confidence: 99%

“…Water pump control, which is widely used in various chemical industries [1][2][3], such as in regenerative heaters [4] and drum boilers [5], petrochemical processes [6], open channels [7], surge tanks of hydropower stations [8], and steam generators [9][10][11][12], plays a significant role in maintaining economic efficiency and stable plant operation. For instance, in thermal power plants, the drum boiler water level is a key parameter in monitoring boiler operational conditions, which indirectly reflects the balance between the steam load and water supply.…”

Section: Introductionmentioning

confidence: 99%

“…A gain scheduled fractional-order proportional-integral-derivative (PID) control system has also been used to control steam generator levels over an entire operating range [11]. Moreover, an adaptive estimator-based dynamic sliding mode control method was developed to address the level control problem [10].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Water Pump Control: A Hybrid Data-Driven and Model-Assisted Active Disturbance Rejection Approach

Pan

Hua

et al. 2019

Water

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Water pump control, prevalent in various industrial plants, such as wastewater treatment and steam generator facilities, plays a significant role in maintaining economic efficiency and stable plant operation. Due to its slow dynamics, strong nonlinearity, and various disturbances, it is also widely studied as a typical benchmark problem in process control. The current control strategies can be categorized into two aspects: one branch resorts to model-based design and the other to data-driven design. To merge the merits and overcome the deficiencies of each paradigm, this paper proposes a hybrid data-driven and model-assisted control strategy, namely modified active disturbance rejection control (MADRC). The model information regarding water dynamics is incorporated into an extended state observer (ESO), which is used to estimate and mitigate the limitations of slow dynamics, strong nonlinearity, and various disturbances by analyzing the real-time data. The tuning formula is given in terms of the desired closed-loop performance. It is shown that MADRC is able to produce a satisfactory control performance while maintaining a low sensitivity to the measurement noise under general parametric setting conditions. The simulation results verify the clear superiority of MADRC over the proportional-integral (PI) controller and the conventional ADRC, and the results also evidence its noise reduction effects. The experimental results agree well with the simulation results based on a water tank setup. The proposed MADRC approach is able to improve the control performance while reducing the actuator fluctuation. The results presented in this paper offer a promising methodology for the water control loops widely used in the water industry.

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Section: Noise Reduction Simulation Comparisonmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Water Pump Control: A Hybrid Data-Driven and Model-Assisted Active Disturbance Rejection Approach

Pan

Hua

et al. 2019

Water

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“…Stabilizing the water level in the steam generator of NPP is very important in order to secure sufficient cooling source for the nuclear reactor and to prevent damage to turbine blades (Ansarifar et al, 2012). To enhance the UTSG water level control capability, the feedwater control system of AP1000 is equipped with the main feedwater control subsystem and the startup feedwater control subsystem.…”

Section: Feedwater Control Systemmentioning

confidence: 99%

Control simulation and study of load rejection transient for AP1000

Wang

Chen

Zhang

et al. 2015

Progress in Nuclear Energy

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“…The research to date into advanced techniques of water level control in steam generators comes to algorithms based on gain scheduling control [1,6,12] artificial neural networks [4,6,11], fuzzy logic [5,6,11,13], adaptive control [8,11], Model Predictive Control [9,10] and combinations of aforementioned.…”

Section: Introductionmentioning

confidence: 99%

Multi-region fuzzy logic controller with local PID controllers for U-tube steam generator in nuclear power plant

Puchalski

Duzinkiewicz

2015

Archives of Control Sciences

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In the paper, analysis of multi-region fuzzy logic controller with local PID controllers for steam generator of pressurized water reactor (PWR) working in wide range of thermal power changes is presented. The U-tube steam generator has a nonlinear dynamics depending on thermal power transferred from coolant of the primary loop of the PWR plant. Control of water level in the steam generator conducted by a traditional PID controller which is designed for nominal power level of the nuclear reactor operates insufficiently well in wide range of operational conditions, especially at the low thermal power level. Thus the steam generator is often controlled manually by operators. Incorrect water level in the steam generator may lead to accidental shutdown of the nuclear reactor and consequently financial losses. In the paper a comparison of proposed multi region fuzzy logic controller and traditional PID controllers designed only for nominal condition is presented. The gains of the local PID controllers have been derived by solving appropriate optimization tasks with the cost function in a form of integrated squared error (ISE) criterion. In both cases, a model of steam generator which is readily available in literature was used for control algorithms synthesis purposes. The proposed multi-region fuzzy logic controller and traditional PID controller were subjected to broad-based simulation tests in rapid prototyping software -Matlab/Simulink. These tests proved the advantage of multi-region fuzzy logic controller with local PID controllers over its traditional counterpart.

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Adaptive estimator-based dynamic sliding mode control for the water level of nuclear steam generators

Cited by 28 publications

References 13 publications

Water Pump Control: A Hybrid Data-Driven and Model-Assisted Active Disturbance Rejection Approach

Water Pump Control: A Hybrid Data-Driven and Model-Assisted Active Disturbance Rejection Approach

Control simulation and study of load rejection transient for AP1000

Multi-region fuzzy logic controller with local PID controllers for U-tube steam generator in nuclear power plant

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