A nonlinear state‐feedback state‐feedforward tracking control strategy for a boiler‐turbine unit

Wang, Guoxu; Wu, Jie; Ma, Xiaoqian

doi:10.1002/asjc.2098

Cited by 6 publications

(4 citation statements)

References 65 publications

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“…Lemma 1. (Schaab et al 29 and Wang et al 30 ) Given matrices K S and E of appropriate dimensions and with a symmetric matrix S , then…”

Section: Controller Designmentioning

confidence: 99%

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A guaranteed cost strategy for speed-limit control of vehicles based on map information

Wang

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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This paper proposes a guaranteed cost strategy for longitudinal control of vehicles mainly considering speed-limit control based on map information. Firstly, a state-space model is developed to calculate the desired acceleration for the speed-limit control. Secondly, based on the formulated state-space model, a state-feedback guaranteed cost strategy is developed for the speed-limit control with system uncertainties considered. The stability of the proposed state-feedback guaranteed cost control system is discussed according to Lyapunov stability theory by means of linear matrix inequality approach and Schur complement. Moreover, with the proposed control law, it is proved that the defined cost function has an upper bound. Thirdly, to reduce potential unnecessary acceleration or deceleration caused by disturbances, an event-triggered filter is designed. Finally, to evaluate the performance of the proposed guaranteed cost controller, a switching PID controller, and a guaranteed cost controller without the proposed event-triggered filter are developed for comparisons. The effectiveness and the advantages of the proposed guaranteed cost strategy are proved by simulations where model uncertainties, disturbances, and the latency of the actuator are considered.

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“…Lemma 1. (Schaab et al 29 and Wang et al 30 ) Given matrices K S and E of appropriate dimensions and with a symmetric matrix S , then…”

Section: Controller Designmentioning

confidence: 99%

“…The model uncertainties Δ A and Δ B considered in this paper are random matrixes and are hypothetically of the form 30,35–37 :…”

Section: Controller Designmentioning

confidence: 99%

A guaranteed cost strategy for speed-limit control of vehicles based on map information

Wang

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…In addition, renewable energy sources are vulnerable to incidental faults and climatic scourges. Thus, the thermal power plants are obliged to absorb the uncer-tainty caused by various renewable energies [4] to ensure a stable supply [5], where rapid and wide-range load accommodation of the ultra-supercritical (USC) boiler-turbine unit is in demand.…”

Section: Introductionmentioning

confidence: 99%

Unknown system dynamics estimator based coordinated control of the ultra supercritical boiler‐turbine unit with coal pulverizing delay for large load accommodation

Liu

Yang

2022

Asian Journal of Control

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The ultra-supercritical boiler-turbine unit is required to accommodate large-range load following to maintain the stability of grid frequency. However, the input delay in the coal pulverizing process poses a challenge to the coordinated control of the boiler-turbine unit, which is always neglected in existing works but dramatically affects the stability of steam pressure and temperature. In this paper, to handle the delay caused by coal pulverizing, a predictor-based delay compensation structure is developed for producing a delay-free control framework for the throttle steam pressure. Moreover, to overcome intrinsic nonlinearities in the dynamics of the boiler-turbine unit, the unknown system dynamics estimator is employed in the controllers' design for the steam enthalpy in the separator and active power of the turbine. Thus, precise and fast regulation for the active power output can be achieved under wide load following task. The salient merit of the proposed control is that the overshot of the throttle steam pressure and the specific enthalpy in the separator can be significantly alleviated, which is necessary for turbine blade. A Lyapunov-Krasovskii functional is introduced to deal with the time delay in the stability proof. Finally, the proposed coordinated control is validated in three typical working scenarios.

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“…Balko and Rosinova 9 propose a decentralized robust controller for the boiler‐turbine system. An effective state‐feedback controller for boiler‐turbine nonlinear systems is designed for the boiler‐turbine system in Reference 10 and the results of which show good tracking performance. In Reference 11, a real‐time Galerkin optimal control strategy is proposed to solve the tracking problem when the load of the boiler‐turbine system varies on a large scale.…”

Section: Introductionmentioning

confidence: 99%

A New Integral Critic Learning for Optimal Tracking Control with Applications to Boiler‐Turbine Systems

Wei

Liu

et al. 2021

Optim Control Appl Methods

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Optimal control theory and reinforcement learning are gradually being used in the field of industrial control. In this article, a new optimal tracking control scheme for 160 MW boiler-turbine systems is proposed based on an online policy iteration integral reinforcement learning (IRL) method. Firstly, a self-learning state tracking control with a cost function is developed to deal with the optimal tracking control problems for the boiler-turbine nonlinear system. Then with a modified cost function, a policy iteration-based IRL method is introduced to obtain the optimal control law. Finally, the monotonicity and the convergence of the cost function is analyzed and the detailed implementation of the policy iteration-based IRL method is provided via neural networks. The simulation results show that the control of the boiler-turbine system can converge in a short time by using this online iterative method. Through a theoretical simulation case, it can be concluded that the proposed method is more advanced compared with the MPC method.

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A nonlinear state‐feedback state‐feedforward tracking control strategy for a boiler‐turbine unit

Cited by 6 publications

References 65 publications

A guaranteed cost strategy for speed-limit control of vehicles based on map information

A guaranteed cost strategy for speed-limit control of vehicles based on map information

Unknown system dynamics estimator based coordinated control of the ultra supercritical boiler‐turbine unit with coal pulverizing delay for large load accommodation

A New Integral Critic Learning for Optimal Tracking Control with Applications to Boiler‐Turbine Systems

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