Identification and robust water level control of horizontal steam generators using quantitative feedback theory

Safarzadeh, O.; Khaki‐Sedigh, Ali; Shirani, Amir Saeed

doi:10.1016/j.enconman.2011.04.023

Cited by 22 publications

(8 citation statements)

References 19 publications

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“…Several researchers have applied combination of various computational intelligence paradigms together for efficient control of the dynamics of nuclear reactors like in [8]- [11]. Among several other approaches, supervisory control [12], adaptive estimator based dynamic sliding mode control [13], gain scheduled dynamic sliding mode [14], robust nonlinear model predictive control [15], QFT [16] are gaining popularity in control problems related to nuclear power plants. In the present paper, an advanced fuzzy logic based fractional PID type controller is used which has the capability of handling change in the dynamics of a nuclear reactor with operating power level.…”

Section: Introductionmentioning

confidence: 99%

Fractional order fuzzy control of nuclear reactor power with thermal-hydraulic effects in the presence of random network induced delay and sensor noise having long range dependence

Das

Pan

Das

2013

Energy Conversion and Management

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Nonlinear state space modeling of a nuclear reactor has been done for the purpose of controlling its global power in load following mode. The nonlinear state space model has been linearized at different percentage of reactor powers and a novel fractional order (FO) fuzzy proportional integral derivative (PID) controller is designed using real coded Genetic Algorithm (GA) to control the reactor power level at various operating conditions. The effectiveness of using the fuzzy FOPID controller over conventional fuzzy PID controllers has been shown with numerical simulations. The controllers tuned with the highest power models are shown to work well at other operating conditions as well; over the lowest power model based design and hence are robust with respect to the changes in nuclear reactor operating power levels. This paper also analyzes the degradation of nuclear reactor power signal due to network induced random delays in shared communication network and due to sensor noise while being fed-back to the Reactor Regulating System (RRS). The effect of long range dependence (LRD) which is a practical consideration for the stochastic processes like network induced delay and sensor noise has been tackled by optimum tuning of FO fuzzy PID controllers using GA, while also taking the operating point shift into consideration.Keywords: fractional order fuzzy PID controller; long-range dependence; network induced stochastic delay; nuclear reactor thermal-hydraulics; power level control; antipersistent noise.The Point kinetics equation based nonlinear model of a 500 MW nuclear reactor is derived in this paper, taking into account the thermal effects on reactivity. The nonlinear state space is linearized around the steady state operating conditions corresponding to the various operating powers of the nuclear reactor. The parameters of the FO fuzzy PID controllers are then tuned with these linearized models to obtain a trade-off design between good set point tracking and reduced controller effort. The fuzzy FOPID controllers tuned with the linearized models of the reactor at highest/lowest power shows good set-point tracking ability though the system's dc-gain changes due to change in the range of operation. Similar multiple model based control scheme for nuclear reactors has been proposed by Hu et al. [23] and the mathematical model for the guidance of control rod movement is proposed by Alireza and Shirazi [24].Evaluation of the performance of nuclear reactor control systems over communication networks is being a big concern now-a-days because a small amount of stochastic delay is capable of destabilizing a well-tuned control loop as shown by Pan et al. [25]. Das et al. [26] have given experimental evidence of the impact of the presence of network in the control of nuclear reactors. Therefore, the possible random delays and the packet dropouts which occur during long distance transmission of signal from the sensors to the controller or from the controller to the actuator must be considered in the controller design phase i...

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Section: Introductionmentioning

confidence: 99%

Fractional order fuzzy control of nuclear reactor power with thermal-hydraulic effects in the presence of random network induced delay and sensor noise having long range dependence

Das

Pan

Das

2013

Energy Conversion and Management

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“…Dong et al (2008) used water mass inventory to control water level whereas Liu et al (2010) used proportional control with partial feedforward compensation and decoupling approach for the same task. Safarzadeh et al (2011) applied quantitative feedback theory and showed the effectiveness of this method. Tan (2011) used a first order feedback and a second order feedforward controller and concluded that the proposed gain-scheduled controller achieved better control performance.…”

Section: Introductionmentioning

confidence: 98%

Support vector regression model based predictive control of water level of U-tube steam generators

Kavaklıoğlu

2014

Nuclear Engineering and Design

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“…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 model-free control has also been proposed to address the multivariable nonlinear finite-dimension and important unknown disturbances and to ensure that the water level reaches the setpoint [7]. Additionally, a new global water level control of horizontal steam generator was designed using the quantitative feedback theory [9]. 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].…”

Section: Introductionmentioning

confidence: 99%

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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Identification and robust water level control of horizontal steam generators using quantitative feedback theory

Cited by 22 publications

References 19 publications

Fractional order fuzzy control of nuclear reactor power with thermal-hydraulic effects in the presence of random network induced delay and sensor noise having long range dependence

Fractional order fuzzy control of nuclear reactor power with thermal-hydraulic effects in the presence of random network induced delay and sensor noise having long range dependence

Support vector regression model based predictive control of water level of U-tube steam generators

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

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