Improved Grey Wolf Optimizer Tuned Active Disturbance Rejection Control for Ship Heading

Ren, Jia; Chen, Zengqiang; Yang, Yikang; Sun, Mingwei; Sun, Qinglin

doi:10.1109/tcsii.2022.3211838

Cited by 8 publications

(2 citation statements)

References 27 publications

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“…In recent years, some researchers have applied swarm intelligence optimization algorithms to the parameter adjustment of ADRC, which effectively improves the performance of ADRC. Ren et al [17] improved the optimization capability of gray wolf optimizer by chaotic mapping and fractional order derivative updating methods, and used the improved gray wolf optimizer in the parameter tuning of ADRC for ship heading control. Huang and Zhuang [18] proposed an error-based active disturbance suppression control method for wind turbine control systems and fused sinusoidal chaotic mapping and Lévy flight with coyote optimization algorithm, and used the new coyote optimization algorithm in the parameter tuning of the proposed ADRC.…”

Section: Introductionmentioning

confidence: 99%

Quadrotor attitude control by improved snake optimizer based adaptive switching disturbance rejection approach

Zhou,

Chen,

Jiao

2024

Meas. Sci. Technol.

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In this paper, an adaptive switching anti-disturbance attitude control scheme based on improved snake optimizer is proposed for quadrotor attitude control when a quadrotor unmanned aerial vehicle is affected by measurement noise. The adaptive switching disturbance rejection controller (AWDRC) is composed of linear active disturbance rejection control and adaptive switching extended state observer which is used to achieve accurate signals reconstruction performance under measurement noise. Then, the improved snake optimizer (ISO) algorithm is developed with quadratic interpolation and comprehensive learning strategies to obtain the optimal parameters of the quadrotor attitude controller. The performance validity of ISO is demonstrated here by experiments on the CEC-2017 and the CEC-2020 benchmark functions with several state-of-the-art meta-heuristic algorithms. Secondly, the proposed ISO-based AWDRC algorithm is used in quadrotor attitude tracking control and compared with three other excellent active disturbance rejection controllers in a comparative experiment, and the experimental results show the effectiveness of the proposal. Finally, the robustness of the proposed method to parameters perturbation of the quadrotor attitude system is analyzed by Monte Carlo experiments.

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Section: Introductionmentioning

confidence: 99%

Quadrotor attitude control by improved snake optimizer based adaptive switching disturbance rejection approach

Zhou,

Chen,

Jiao

2024

Meas. Sci. Technol.

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“…One notable approach in this field is the development of a closed-loop ADRC scheme, which effectively addresses complex control problems encountered in various applications. It has been successfully implemented in the induction generator AC power system [14], vehicle dual-motor steer-by-wire system [16], modular multilevel converters [17], ship heading [18], and doubly-fed induction generator [19] etc. Document [20] introduces an enhanced linear active disturbance rejection controller (ELADRC) with the cascaded LESO to deliver a relatively prompt and precise estimation of the overall disturbance.…”

Section: Introductionmentioning

confidence: 99%

An enhanced switching active disturbance rejection controller for speed control of permanent magnet synchronous motor

Gao,

Pan

2023

IEICE Electron. Express

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In this study, a novel active disturbance rejection controller (ADRC) is proposed to significantly improve the speed control performance of permanent magnet synchronous motor (PMSM). The conventional ADRC, namely linear active disturbance rejection controller (LADRC) and nonlinear active disturbance rejection controller (NLADRC), both them have their own merits and drawbacks. Thus, an enhanced switching active disturbance rejection controller (ESADRC) is developed to counteract the impacts of the speed-loop for the PMSM. The proposed ESADRC comprises several novel components including a novel tracking differentiator (TD), a novel switching extended state observer (SESO), a novel switching state error feedback (SSEF), and a cascaded extended state observer (ESO). The cascaded ESO is responsible for estimating the remaining disturbance after the SESO. Through comparative verification, it is verified that the proposed ESADRC outperforms the traditional ADRCs in terms of performance.

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Quantized-States-Based Fuzzy Adaptive Course Tracking Control of an Unmanned Surface Vehicle with Input and State Quantization

Ning,

Ma,

et al. 2024

Int. J. Fuzzy Syst.

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Improved Grey Wolf Optimizer Tuned Active Disturbance Rejection Control for Ship Heading

Cited by 8 publications

References 27 publications

Quadrotor attitude control by improved snake optimizer based adaptive switching disturbance rejection approach

Quadrotor attitude control by improved snake optimizer based adaptive switching disturbance rejection approach

An enhanced switching active disturbance rejection controller for speed control of permanent magnet synchronous motor

Quantized-States-Based Fuzzy Adaptive Course Tracking Control of an Unmanned Surface Vehicle with Input and State Quantization

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