2019
DOI: 10.1016/j.energy.2019.07.088
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Practical dynamic matrix control of MHTGR-based nuclear steam supply systems

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Cited by 27 publications
(3 citation statements)
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“…In HTGR-based power plants, power supply and demand must be balanced by generation or load, so the HTGR requires an automatic control system to track load variations and operate efficiently and stably at the desired power level. Currently, a wide range of control mechanisms have been developed by researchers in the related papers, from dynamic surfaces [171] to optimal and robust control [172], sliding mode control (SMC) [173], fuzzy control [174], deep reinforcement learning [175], neural networks [176], [177], improved PID control [178], dynamic matrix controllers (DMCs) [179], etc. Specifically, [173] designed a nonlinear tracking controller for mHTGR based on the SMC scheme and TS fuzzy technique to achieve the power level control objective under variable load conditions.…”
Section: Control Strategymentioning
confidence: 99%
See 1 more Smart Citation
“…In HTGR-based power plants, power supply and demand must be balanced by generation or load, so the HTGR requires an automatic control system to track load variations and operate efficiently and stably at the desired power level. Currently, a wide range of control mechanisms have been developed by researchers in the related papers, from dynamic surfaces [171] to optimal and robust control [172], sliding mode control (SMC) [173], fuzzy control [174], deep reinforcement learning [175], neural networks [176], [177], improved PID control [178], dynamic matrix controllers (DMCs) [179], etc. Specifically, [173] designed a nonlinear tracking controller for mHTGR based on the SMC scheme and TS fuzzy technique to achieve the power level control objective under variable load conditions.…”
Section: Control Strategymentioning
confidence: 99%
“…[178] used an improved PID controller to control the start-up, shutdown, and load-tracking control system of a VHTR. [179] used the MPC method based on DMC for supervisory control of NSSS to regulate the NSSS thermal power by adjusting the neutron flux, coolant flow rate, and other set values. Some evolutionary computational algorithms, such as genetic algorithms (GA) [164], can be applied for parameter optimization of HTGR.…”
Section: Control Strategymentioning
confidence: 99%
“…Facing the pressure of ecosystem protection, the fourth‐generation nuclear power station is presented 2 . As one of the proposed six configurations, the modular high temperature gas‐cooled reactor power station (MHTGR) is featured with high thermal efficiency (about 45%), good safety and direct helium‐cooled cycle 3,4 …”
Section: Introductionmentioning
confidence: 99%