Robust power control design for a small pressurized water reactor using an H infinity mixed sensitivity method

Xu, Yan; Wang, Pengfei; Qing, Junyan; Wu, Shifa; Zhao, Fuyu

doi:10.1016/j.net.2019.12.031

Cited by 44 publications

(22 citation statements)

References 16 publications

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“…Several control design techniques, for example, state feedback assisted control (SFAC) [1]- [6], H ∞ control [7]- [10], model predictive control (MPC) [11]- [16], sliding mode control (SMC) [17]- [24], and different soft computing techniquebased controls [25]- [31] have been proposed in the last two decades to handle uncertainties and disturbances. In the earliest work, the notion of an SFAC has been suggested to boost the local stability of a conventional control by adding a state-feedback compensation [1].…”

Section: Introductionmentioning

confidence: 99%

“…In the SFAC framework, the linear quadratic Gaussian (LQG) technique has been integrated with the loop transfer recovery (LTR) scheme to improve temperature and power control during reactor parameters variations [2]- [6]. To control reactor power with enhanced robustness as compared to the conventional LQG control, H ∞ based techniques have been suggested [7]- [10]. Robust MPC techniques have been developed to handle various constraints in an uncertain NPP system [11]- [16].…”

Section: Introductionmentioning

confidence: 99%

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L₁-Adaptive Robust Control Design for a Pressurized Water-Type Nuclear Power Plant

Vajpayee

Becerra

Bausch

et al. 2021

IEEE Trans. Nucl. Sci.

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This work proposes adaptive control-based design strategies to control a pressurized water (PWR) nuclear power plant (NPP). An L1-adaptive-based state feedback control technique is proposed using linear quadratic Gaussian control and projection-based adaptation laws. The control scheme possesses good robustness capabilities in handling disturbances and uncertainties. A Robust L1-adaptive control technique is also proposed by combining the L1-adaptive control with the loop transfer recovery (LTR) technology. The framework hence gives strengthened robust set-point tracking performance given the matched and unmatched uncertainties and disturbances. The NPP model employed in the current work is defined by five-inputs, fiveoutputs, and thirty-eight state variables. A linear model for controller design is obtained by linearizing the nonlinear NPP model at operating conditions. Various simulations are carried out on subsystems of the NPP to verify the effectiveness of the proposed scheme. Numerical and statistical measures are computed for quantitative analysis of the controllers' performance. Several classical control design techniques are also implemented, and their performance is compared with the proposed adaptive control techniques.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

L₁-Adaptive Robust Control Design for a Pressurized Water-Type Nuclear Power Plant

Vajpayee

Becerra

Bausch

et al. 2021

IEEE Trans. Nucl. Sci.

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“…Bounded H infinity control reduces the influence of external disturbances on the systems by adjusting disturbance suppression coefficients. In recent years, there have been a lot of research results on bounded H infinity control [22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Fixed-Time Bounded H Infinity Tracking Control of a Single-Joint Manipulator System with Input Saturation

chen

2021

Preprint

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Based on Lyapunov finite-time stability theory and backstepping strategy, we put forward a novel fixed-time bounded H infinity tracking control scheme for a single-joint manipulator system with input saturation. The main control objective is to maintain that the system output variable tracks the desired signal at fixed time. The advantages of this paper are the settling time of the tracking error converging to the origin is independent of the initial conditions, and its convergence speed is more faster. Meanwhile, bounded H infinity control is adopted to suppress the influence of the external disturbances on the controlled system. At the same time, the problem of input saturation control is considered, which effectively reduce the input energy consumption. Theoretical analysis shows that the tracking error of the closed-loop system converges to a small neighborhood of the origin within fixed time. In the end, a simulation example is presented to demonstrate the effectiveness of the proposed scheme.

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“…A considerable amount of research has been done on the application of robust control techniques in nuclear reactors, especially for the core power control. In the last two decades, various control design techniques such as state feedback assisted control (SFAC) [1]- [5], H ∞ control [6]- [9], model predictive control (MPC) [10]- [14], sliding mode control (SMC) [15]- [21], and soft-computing based controls [22]- [27] have been proposed to deal with disturbances and uncertainties in NPPs. Edwards et al [1] proposed the idea of SFAC to enhance the stability of the classical control loop by integrating a state-feedback compensating loop.…”

mentioning

confidence: 99%

Robust-optimal integrated control design technique for a pressurized water-type nuclear power plant

Vajpayee¹,

Becerra²,

Bausch³

et al. 2021

Progress in Nuclear Energy

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Robust power control design for a small pressurized water reactor using an H infinity mixed sensitivity method

Cited by 44 publications

References 16 publications

L₁-Adaptive Robust Control Design for a Pressurized Water-Type Nuclear Power Plant

L₁-Adaptive Robust Control Design for a Pressurized Water-Type Nuclear Power Plant

Fixed-Time Bounded H Infinity Tracking Control of a Single-Joint Manipulator System with Input Saturation

Robust-optimal integrated control design technique for a pressurized water-type nuclear power plant

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