Control of superheated steam temperature in large-capacity generation units based on active disturbance rejection method and distributed control system

Geng, Liang; Wen, Li; Li, Zhijun

doi:10.1016/j.conengprac.2012.10.002

Cited by 38 publications

(19 citation statements)

References 6 publications

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“…Choose the transfer function 1 ( ) as an example. We compared the control quality of HRMPC-P cascade control with the conventional cascade PID control (PID-P) and dynamic matrix control [6] (DMC-P) through the system output tracking situation. The control laws and control structures are illustrated as follows.…”

Section: Simulationmentioning

confidence: 99%

“…Most power plants continue to adopt a conventional steam temperature control system, such as a cascade PID scheme or double circuit control system with a lead steam temperature differential signal. In recent years, a number of advanced control algorithms were being researched for application in superheated steam temperature systems; these include adaptive fuzzy neural network control [2], adaptive predictive control [3], nonlinear generalized predictive control [4], network cascade control [5], and active disturbance rejection control [6].…”

Section: Introductionmentioning

confidence: 99%

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Design of H2/H∞ RMPC for Boiler Superheated Steam Temperature Based on Memoryless Feedback Multistep Strategy

Han

Liu

Wang

et al. 2017

Mathematical Problems in Engineering

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The collection of superheated steam temperature models of a thermal power plant under different loads can be approximated to "multimodel" linear uncertain systems. After transformation, the tracking system was obtained from "multimodel" linear uncertain systems. For this tracking uncertain system, a mixed 2 / ∞ robust model predictive control (HRMPC) based on a memoryless feedback multistep strategy is proposed. A multistep control strategy combines the advantages of predictive control rolling optimization with memoryless feedback control thoughts. It could effectively decrease the controller optimization parameter and ensure closed-loop system stability, and, at the same time, it also achieved acceptable control performance. Successful application to the superheated steam temperature system of a 300 MW thermal power plant verified the study of the HRMPC-P cascade controller design scheme in terms of feasibility and effectiveness.

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Section: Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design of H2/H∞ RMPC for Boiler Superheated Steam Temperature Based on Memoryless Feedback Multistep Strategy

Han

Liu

Wang

et al. 2017

Mathematical Problems in Engineering

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“…The thermal power plant boiler is a complex object with nonlinear coupling, large lag, multivariable, and multi-interference. At present, superheated steam temperature control systems of most domestic thermal power plant boiler still use PID controllers, which has many shortcomings in control quality [1][2][3][4][5][6][7][8][9][10][11][12][13], such as the lack of timely adjustment and excessive overshoot. Nowadays, many scholars have proposed many advanced control algorithm strategies for boiler superheated steam temperature control systems.…”

Section: Introductionmentioning

confidence: 99%

“…A minimum entropy based neuro-PID controller is addressed as primary controller in the cascade control system for regulating superheated steam temperature in power plants [2]. In the process of designing the advanced controller, it is easy to be affected by the internal noise disturbance of the control system and the external environment interference, so the system control performance is difficult to achieve the desired effect [3][4][5][6][7]. The system often contains a variety of interference signals and noise.…”

Section: Introductionmentioning

confidence: 99%

Undisturbed Switching Control Method of Superheated Steam Temperature Systems

2019

Complexity

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In this paper, a new type of superheated steam temperature switching control system for thermal power plants is presented. A single neuron adaptive PSD (Proportional Sum Differential) predictive controller is designed. The DCS (Distributed Control System) control system platform is used for configuration design. At the same time, the feedforward compensation technology and anti-integration saturation technology are employed to improve the characteristics of large hysteresis and multi-interference in the superheated steam temperature system. Undisturbed switching performance can be well obtained between the new controller and its own PID controller. This proposed method has been well applied in a thermal power plant (600MW) and achieved better control quality.

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“…In the recent decade, active disturbance rejection control (ADRC) [14], which is inherited from PID control, is shown as a promising alternative to deal with nonlinearity and uncertainties, which are lumped as a 'total disturbance' that will be estimated and mitigated in real time. The efficiency has been validated by many practical applications in power control [15][16][17], process control [18,19] and by some theoretic analysis [20][21][22].In our previous work, Ref.[23] deals with the advanced power conditioning control of SOFC system to improve the power quality. Ref.[24] is focused on the power coordination between SOFC power output and other renewables within a microgird.…”

mentioning

confidence: 99%

A Combined Voltage Control Strategy for Fuel Cell

et al. 2017

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Control of output voltage is critical for the power quality of solid oxide fuel cells (SOFCs), which is, however, challenging due to electrochemical nonlinearity, load disturbances, modelling uncertainties, and actuator constraints. Moreover, the fuel utilization rate should be limited within a safety range during the voltage regulation transient. The current research is usually appealing to model predictive control (MPC) by formulating the difficulties into a constrained optimization problem, but its huge computational complexity makes it formidable for real-time implementation in practice. To this end, this paper aims to develop a combined control structure, with basic function blocks, to fulfill the objectives with minor computation. Firstly, the disturbance, nonlinearity and uncertainties are lumped as a total disturbance, which is estimated and mitigated by active disturbance rejection controller (ADRC). Secondly, a feed-forward controller is introduced to improve the load disturbance rejection response. Finally, the constraints are satisfied by designing a cautious switching strategy. The simulation results show that the nominal performance of the proposed strategy is comparable to MPC. In the presence of parameter perturbation, the proposed strategy shows a better performance than MPC.Sustainability 2017, 9, 1517 2 of 15 the fuel utilization. Based on the benchmark model proposed in [3], it was revealed in [4,5] that the proportional-integral (PI) controller and even the H ∞ optimal control are not able to give a satisfactory performance without exceeding the safety range of the fuel utilization.To this end, the mainstream research resorts to Model Predictive Control (MPC), which is particularly suitable for constrained optimization. A data-driven linear MPC strategy was introduced in [6] based on the subspace identification. To further accommodate the nonlinearities, many nonlinear MPC (NMPC) strategyies [7-10] were developed based on much more complex heuristic models. The simulation results prove the capability of the above MPC methods under the nominal condition. However, the huge online computational requirement limits its wide application. Moreover, the implementation of MPC relies on a high-performance computer which needs to synchronously communicate with the existing Distributed Control System (DCS) through certain ports and protocols [11]. Additional hardware complexity will bring more security risks, which is not favored by the field engineers. Besides the complexity, another drawback of MPC is that the performance may deteriorate greatly in the presence of modelling uncertainties.The industrial engineers argued in [12] that use of MPC is only suitable for the applications where the process size, complexity and potential economic benefits justify the expenditure and technical support requirements. In other words, it is not necessary to adopt MPC in the cases where the control objectives can also be fulfilled by the configuration of the regular function blocks, such as simple algebraic and logic ...

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Control of superheated steam temperature in large-capacity generation units based on active disturbance rejection method and distributed control system

Cited by 38 publications

References 6 publications

Design of H2/H∞ RMPC for Boiler Superheated Steam Temperature Based on Memoryless Feedback Multistep Strategy

Design of H2/H∞ RMPC for Boiler Superheated Steam Temperature Based on Memoryless Feedback Multistep Strategy

Undisturbed Switching Control Method of Superheated Steam Temperature Systems

A Combined Voltage Control Strategy for Fuel Cell

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