Abstract A control design scheme is formulated for a pressurized water type nuclear power plant by integrating the optimal linear quadratic Gaussian (LQG) control with the robust integral sliding mode (ISM) technique. A novel robust-optimal hybrid control scheme is further proposed by integrating the LQG-ISM technique with the loop transfer recovery approach to enhance the effectiveness and robustness capability. The control architecture offers robust performance with minimum control efforts and tracks the reference set-point effectively in the presence of disturbances and parametric uncertainties. The multi-input-multi-output nuclear power plant model adopted in this work is characterized by 38 state variables. The nonlinear plant model is linearized around steady-state operating conditions to obtain a linear model for the controller design. The efficacy of the proposed controllers is demonstrated by nuclear power plant subsystem simulations. The control performance of the proposed technique is also compared with other classical control design schemes. Numerical measures are employed to quantitatively analyse and compare the performance of the different controllers that are studied in the work.

中文翻译：

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压水式核电站鲁棒优化集成控制设计技术

摘要 将最优线性二次高斯(LQG)控制与鲁棒积分滑模(ISM)技术相结合，制定了压水式核电站的控制设计方案。通过将 LQG-ISM 技术与环路转移恢复方法相结合，进一步提出了一种新颖的鲁棒最优混合控制方案，以提高有效性和鲁棒性能力。控制架构以最少的控制工作提供稳健的性能，并在存在干扰和参数不确定性的情况下有效跟踪参考设定点。本工作采用的多输入多输出核电站模型具有38个状态变量的特征。非线性设备模型围绕稳态运行条件进行线性化，以获得控制器设计的线性模型。核电站子系统仿真证明了所提出的控制器的功效。所提出的技术的控制性能也与其他经典控制设计方案进行了比较。数值测量用于定量分析和比较工作中研究的不同控制器的性能。