具有热力学-流体动力学效应的核反应堆功率的分数阶模糊控制
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
AI总结：
本文提出一种分数阶模糊PID控制器，用于在随机网络延迟和长程依赖传感器噪声存在下控制核反应堆功率，通过遗传算法优化实现鲁棒性。
摘要：
为控制核反应堆在负载跟踪模式下的全球功率，建立了非线性状态空间模型。在不同反应堆功率百分比下线性化该模型，并使用实编码遗传算法设计了新颖的分数阶模糊比例积分微分（PID）控制器。通过数值模拟展示了模糊FOPID控制器相对于传统模糊PID控制器的有效性。调谐最高功率模型的控制器在其他运行条件下也表现良好，因此对核反应堆运行功率变化具有鲁棒性。本文还分析了由于共享通信网络中的网络诱导随机延迟和传感器噪声反馈到反应堆调节系统（RRS）而导致的核反应堆功率信号退化。长程依赖（LRD）的影响通过使用遗传算法优化分数阶模糊PID控制器进行处理，同时考虑了操作点偏移的影响。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
