An Intelligent Cpsogsa-Based Mixed  [[Equation]]  Robust Controller for the Multi-Hydro-Turbine Governing System with Sharing Common Penstock

Dao, Fang; Zou, Yidong; Zeng, Yun; Qian, Jing; Li, Xiang

doi:10.2139/ssrn.4119340

Cited by 2 publications

(2 citation statements)

References 29 publications

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“…In the MATLAB/SIMULINK environment, we conduct simulation experiments on a DG system equipped with a mixed H 2 /H ∞ robust integrated controller to verify the effectiveness of the controller described by Equation (49). The simulation parameters relevant to our study are presented in Table 1.…”

Section: Simulation Resultsmentioning

confidence: 99%

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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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Section: Simulation Resultsmentioning

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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Design of Intelligent Nonlinear H<sub>2</sub>/H<sub>∞</sub> Robust Control Strategy of Diesel Generator Based CPSOGSA Optimization Algorithm

Zou¹,

Xiao²,

Qian³

et al. 2023

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In today's human society, diesel generators (DGs) are highly applied into the human energy and electricity supply system due to its technical, operational and economic advantages. This paper proposes an intelligent nonlinear $H_2/H_{\infty}$ 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 $H_2/H_{\infty}$ robust controller based on this. The direct feedback linearization and the $H_2/H_{\infty}$ 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 $H_2/H_{\infty}$ 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 $H_2/H_{\infty}$ 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.

show abstract

An Intelligent Cpsogsa-Based Mixed [[Equation]] Robust Controller for the Multi-Hydro-Turbine Governing System with Sharing Common Penstock

Cited by 2 publications

References 29 publications

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

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

Design of Intelligent Nonlinear H<sub>2</sub>/H<sub>∞</sub> Robust Control Strategy of Diesel Generator Based CPSOGSA Optimization Algorithm

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