Design of intelligent nonlinear robust controller for hydro-turbine governing system based on state-dynamic-measurement hybrid feedback linearization method

Zou, Yidong; Hu, Wenqing; Xiao, Zhihuai; Wang, Yunhe; Chen, Jinbao; Zheng, Yufeng; Qian, Jing; Zeng, Yun

doi:10.1016/j.renene.2023.01.019

Cited by 12 publications

(5 citation statements)

References 37 publications

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“…Based on knowledge of fluid dynamics, the transfer function between the flow variation in the hydroturbine inlet system and the head variation is as follows [6]:…”

Section: Modeling Of Htscsmentioning

confidence: 99%

PID Parameter Optimization of Hydro-Turbine Speed Control System Based on CPG Algorithm

Li,

Zhang,

Yang

2024

Frontiers in Artificial Intelligence and Applications

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In order to achieve optimal control of the Hydro-Turbine Speed Control System (HTSCS), this paper presents a speed control system parameter optimization method based on the Convergence Factor Particle Swarm Optimization and Gravitational Search Algorithm (CPG). Firstly, the basic model of the HTSCS is established, and then the parameters of the PID controller are optimized using the CPG algorithm. Simulation results demonstrate that the CPG algorithm can rapidly obtain the optimal initial parameters for the PID controller. Furthermore, compared to the traditional PID control system, the PID control system based on the CPG algorithm exhibits smaller speed fluctuations, shorter stabilization time, and faster dynamic response speed under frequency and load power disturbances. The application of the CPG-based PID control strategy to the HTSCS provides enhanced dynamic stability.

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“…Based on knowledge of fluid dynamics, the transfer function between the flow variation in the hydroturbine inlet system and the head variation is as follows [6]:…”

Section: Modeling Of Htscsmentioning

confidence: 99%

PID Parameter Optimization of Hydro-Turbine Speed Control System Based on CPG Algorithm

Li,

Zhang,

Yang

2024

Frontiers in Artificial Intelligence and Applications

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“…where x d , x q , x T , and x L are the straight-axis transient reactance, quarter-axis reactance, transformer short-circuit reactance, and transmission line reactance, respectively [33].…”

Section: Model Of Generatormentioning

confidence: 99%

A New Integral Sliding Mode Control for Hydraulic Turbine Governing Systems Based on Nonlinear Disturbance Observer Compensation

Yang,

Qian,

et al. 2023

Sustainability

Self Cite

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To address the problem that the hydraulic turbine governing system (HTGS) exhibits poor anti-disturbance ability and instability phenomena under traditional PID control, an improved new integral sliding mode control strategy based on a nonlinear disturbance observer (NISMC-NDO) is designed for the HTGS. This study first establishes a nonlinear mathematical model of HTGS and analyzes its dynamic characteristics. The uncertain disturbances of the system are then accurately estimated using a disturbance observer, and a suitable nonlinear gain function is designed to achieve feedforward compensation of the controller by ensuring that the disturbance observation error converges. To design the controller, a proportional-integral sliding mode surface is selected, and the sliding mode exponential convergence law is improved by using the nonlinear power combination function fal instead of sign or sat. This improves the system’s stability, convergence speed, and tracking accuracy. The simulation results demonstrate that the equilibrium point can be quickly reached and stabilized by the HTGS with chaotic phenomena under the influence of NISMC-NDO. Furthermore, this paper also verifies that the designed controller has good dynamic performance. The findings of this study can serve as a valuable reference for optimizing the operation of hydraulic turbine regulation systems in control applications.

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“…Studying the dynamic characteristics of the excitation system is inseparable from the analysis of the dynamic characteristics of the synchronous generator. The mathematical model of the electromagnetic transient process of the DG includes the stator voltage balance equation of the generator and the transient electromagnetic equation of each winding of the rotor [48].…”

Section: Modeling Of Excitation Control Partmentioning

confidence: 99%

“…In addition, the closed-loop pole can be forced into a specific part of the stable half-plane to obtain a well-damped transient response. Such control problems are called H 2 /H ∞ control design problems [48,49].…”

Section: Multi-objective State-feedback Theorymentioning

confidence: 99%

Design of Intelligent Nonlinear H2/H∞ Robust Control Strategy of Diesel Generator-Based CPSOGSA Optimization Algorithm

et al. 2023

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In today’s human society, diesel generators (DGs) are widely applied in the human energy and electricity supply system due to its technical, operational, and economic advantages. This paper proposes an intelligent nonlinear H2/H∞ robust controller based on the chaos particle swarm gravity search optimization algorithm (CPSOGSA), which controls the speed and excitation of a DG. In this method, firstly, establish the nonlinear mathematical model of the DG, and then design the nonlinear H2/H∞ robust controller based on this. The direct feedback linearization and the H2/H∞ robust control theory are combined and applied. Based on the design of the integrated controller for DG speed and excitation, the system’s performance requirements are transformed into a standard robust H2/H∞ control problem. The parameters of the proposed solution controller are optimized by using the proposed CPSOGSA. The introduction of CPSOGSA completes the design of an intelligent nonlinear H2/H∞ robust controller for DG. The simulation is implemented in MATLAB/Simulink, and the results are compared with the PID control method. The obtained results prove that the proposed method can effectively improve the dynamic accuracy of the system and the ability to suppress disturbances and improve the stability of the system.

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Design of intelligent nonlinear robust controller for hydro-turbine governing system based on state-dynamic-measurement hybrid feedback linearization method

Cited by 12 publications

References 37 publications

PID Parameter Optimization of Hydro-Turbine Speed Control System Based on CPG Algorithm

PID Parameter Optimization of Hydro-Turbine Speed Control System Based on CPG Algorithm

A New Integral Sliding Mode Control for Hydraulic Turbine Governing Systems Based on Nonlinear Disturbance Observer Compensation

Design of Intelligent Nonlinear H2/H∞ Robust Control Strategy of Diesel Generator-Based CPSOGSA Optimization Algorithm

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