Novel fuzzy logic based coordinated control for multi-unit small modular reactor

Zhang, Bowen; Peng, Minjun; Cheng, Shuying

doi:10.1016/j.anucene.2018.10.007

Cited by 12 publications

(3 citation statements)

References 16 publications

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“…The controller's parameters were determined using the genetic algorithm, which is an AI method [31]. Bowen et al proposed a two-level hierarchical controller that consisted of a fuzzy controller and a neuralnetwork-based PID controller for application to a multiunit small modular reactor [32]. Some researchers have proposed the use of AI controllers to manage NPPs.…”

Section: B High-level Automation In the Operation Of Nppsmentioning

confidence: 99%

Algorithm for Autonomous Power-Increase Operation Using Deep Reinforcement Learning and a Rule-Based System

2020

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The power start-up operation of a nuclear power plant (NPP) increases the reactor power to the full-power condition for electricity generation. Compared to full-power operation, the power-increase operation requires significantly more decision-making and therefore increases the potential for human errors. While previous studies have investigated the use of artificial intelligence (AI) techniques for NPP control, none of them have addressed making the relatively complicated power-increase operation fully autonomous. This study focused on developing an algorithm for converting all the currently manual activities in the NPP power-increase process to autonomous operations. An asynchronous advantage actorcritic, which is a type of deep reinforcement learning method, and a long short-term memory network were applied to the operator tasks for which establishing clear rules or logic was challenging, while a rule-based system was developed for those actions, which could be described by simple logic (such as if-then logic). The proposed autonomous power-increase control algorithm was trained and validated using a compact nuclear simulator (CNS). The simulation results were used to evaluate the algorithm's ability to control the parameters within allowable limits, and the proposed power-increase control algorithm was proven capable of identifying an acceptable operation path for increasing the reactor power from 2% to 100% at a specified rate of power increase. In addition, the pattern of operation that resulted from the autonomous control simulation was found to be identical to that of the established operation strategy. These results demonstrate the potential feasibility of fully autonomous control of the NPP power-increase operation.

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Section: B High-level Automation In the Operation Of Nppsmentioning

confidence: 99%

Algorithm for Autonomous Power-Increase Operation Using Deep Reinforcement Learning and a Rule-Based System

2020

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“…The fuzzy logic control strategy is used to handle imprecise and uncertain parameters in the LMR. This strategy aims to enhance the reactor's performance by dynamically adjusting multiple parameters based on linguistic variables, fuzzy rules, and fuzzy inference [63]. Through the establishment of membership functions and rule sets, this approach effectively deals with complex and nonlinear relationships between the reactor's inputs and outputs.…”

Section: Control Strategymentioning

confidence: 99%

Small Modular Reactors: An Overview of Modeling, Control, Simulation, and Applications

Wang,

Chen,

Zhang

et al. 2024

IEEE Access

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A small modular reactor (SMR) is a nuclear reactor that is characterized by its smaller size and capacity when compared to traditional large-scale nuclear reactors. An SMR is often categorized as having an electrical output of less than 300MW and is built to be more mobile, safe, and extensible to deploy. It has been established that SMRs can provide economic and flexibility advantages in a variety of industries thanks to the development, study, and use of multiple types of SMRs in recent years. The goal of this paper is to present a comprehensive overview of several SMR types, including light water reactors (LWRs), liquid metal-cooled reactors (LMRs), molten salt reactors (MSRs), and gas-cooled reactors (GCRs). Each type of reactor will be reviewed in terms of its structural design, modeling control implementation, applications, and impacts concerning the power system.INDEX TERMS Digital simulation, mathematical modeling, power system control, reactor design, small modular reactors, nuclear power.

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“…Song et al [17] propose a new type of double closed-loop control, chaos optimization and adaptive fuzzy PID compound control strategy for variable spray systems with large inertia, large hysteresis, nonlinearity, etc., and a satisfactory control effect is obtained through experimental verification. In reference [20], a compound controller based on fuzzy logic is proposed for the steam supply system of a nuclear power plant. Two local controllers are coordinated according to the working conditions based on the neural network PID controller and the fuzzy controller.…”

Section: Introductionmentioning

confidence: 99%

Master and Auxiliary Compound Control for Multi-Channel Confluent Water Supply Switching Control Based on Variable Universe Fuzzy PID

Zhao

Wang

et al. 2020

Applied Sciences

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During the multi-channel confluent water supply process, the pressure control of the main pipe is often held back by such problems as non-linearity, hysteresis and parameter uncertainty, its own unique load dynamic changes, channel switching disturbance and other system characteristics caused by the actual working conditions. Moreover, pressure fluctuations in the main pipe will lead to a reduction in the service life of fire-fighting equipment, an increase in the failure rate, and even an interruption of the fire-fighting water supply. Therefore, a master and auxiliary control strategy is proposed to stabilize the pressure change in the process of multi-channel concentrated water supply switching, by using variable universe fuzzy proportional integral derivative (PID) control as the main controller on the main pipe and traditional PID control as the subsidiary controller on the channel. The control strategy is verified by the co-simulation platforms of LabVIEW and AMESim. Simulation results show that the variable universe fuzzy PID control and the master and auxiliary compound control based on the variable universe fuzzy PID control have advantages in step response, tracking response and anti-interference, respectively. The parameters obtained in the co-simulation are used in the experimental system. The experimental results show that the maximum deviation rate of main pipe pressure can be reduced by about 10% compared with other control methods under different loads. In conclusion, the proposed control strategy has strong anti-interference ability, fast dynamic response speed, high stability and good peak shaving effect.

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Novel fuzzy logic based coordinated control for multi-unit small modular reactor

Cited by 12 publications

References 16 publications

Algorithm for Autonomous Power-Increase Operation Using Deep Reinforcement Learning and a Rule-Based System

Algorithm for Autonomous Power-Increase Operation Using Deep Reinforcement Learning and a Rule-Based System

Small Modular Reactors: An Overview of Modeling, Control, Simulation, and Applications

Master and Auxiliary Compound Control for Multi-Channel Confluent Water Supply Switching Control Based on Variable Universe Fuzzy PID

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