Novel Particle Swarm Optimization and Its Application in Calibrating the Underwater Transponder Coordinates

Yan, Zheping; Deng, Chao; Li, Benyin; Zhang, Jiajia

doi:10.1155/2014/672412

Cited by 4 publications

(3 citation statements)

References 30 publications

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“…It shares the individual extremum with the particles in the whole particle swarm, so as to find the optimal individual extremum as the current global optimal solution. PSO algorithm adjusts its speed and position according to the current individual extremum and the current global optimal solution, and obtains the final global optimal solution and position after repeated operation (Tony et al 2006;Li et al 2012;Yan et al 2014;Zhou et al 2011). This method can obtain the reasonable layout parameters α 1 and α 2 of roadway, so as to ensure the stability of surrounding rock.…”

Section: Pso Algorithm Processmentioning

confidence: 99%

Reasonable Layout of Roadway Based on PSO-AHP Optimization Algorithm Under Three-Dimensional Stress Field

Zhao

Cheng

Zhang

et al. 2021

Preprint

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Reasonable roadway layout is the fundamental measure to reduce the difficulty of roadway support and improve the stability of surrounding rock. The particle swarm optimization and analytic hierarchy process (PSO-AHP) algorithm of reasonable layout of roadway under the three-dimensional field was proposed, and an engineering verification was carried out in Weijiadi coal mine. The results showed that, The dip angle α1 and azimuth angle α2 affect the distribution of the deviatoric stress of the roadway surrounding rock. Under different stress field, the sensitivity of surrounding rock to α1 and α2 are different. Changing the more sensitive layout parameters can minimize the deviatoric stress and improve the stability of roadway. The PSO-AHP optimization algorithm takes the deviatoric stress as the index to calculate the layout parameters of different parts of the roadway, and then determines the optimal layout parameters through the evaluation function. The roadway of 1104 working face was arranged with the optimal parameters obtained by PSO-AHP optimization algorithm. Compared with the original layout scheme, the deviatoric stress of surrounding rock was reduced and the position of maximum deviatoric stress is transferred. The optimum layout of roadway was combined with an asymmetric support which had a good application effect.

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Section: Pso Algorithm Processmentioning

confidence: 99%

Reasonable Layout of Roadway Based on PSO-AHP Optimization Algorithm Under Three-Dimensional Stress Field

Zhao

Cheng

Zhang

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…They successively proposed calibration methods based on local area segmentation and an improved salp swarm algorithm [19,20], achieving high-precision depth estimation. In reference [21], a beacon calibration method based on extended competitive particle swarm optimization is proposed. While certain algorithms demonstrated success in enhancing the calibration accuracy of underwater acoustic beacons, they still adhere to the conventional calibration mode, requiring the workboat to navigate a fixed trajectory.…”

Section: Introductionmentioning

confidence: 99%

A Novel Positional Calibration Method for an Underwater Acoustic Beacon Array Based on the Equivalent Virtual Long Baseline Positioning Model

Zhang,

Yi,

Wei

et al. 2024

JMSE

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The performance of long baseline (LBL) positioning systems is significantly impacted by the distribution and positional calibration accuracy of underwater acoustic beacon arrays. In previous calibration methods for beacon arrays based on autonomous underwater vehicle (AUV) platforms, the slant range information of each beacon was processed independently, and each beacon was calibrated one at a time. This approach not only decreases the calibration efficiency but also leaves the positional calibration accuracy of each beacon highly susceptible to the navigation trajectory of the AUV. To overcome these limitations, an equivalent virtual LBL (EVLBL) positioning model is introduced in this paper. This model operates by adjusting the positions of each beacon according to the dead reckoning increments computed during the AUV’s reception of positioning signals, effectively forming a virtual beacon array. Consequently, the AUV is capable of mitigating LBL positioning errors that arise from its motion by simultaneously receiving positioning signals from all beacons. Additionally, an overall calibration method for beacon arrays based on particle swarm optimization (PSO) is proposed. In this approach, the minimization of the deviation between the EVLBL trajectory and the dead reckoning trajectory is set as the optimization objective, and the coordinates of each beacon are iteratively optimized. The simulation results demonstrate that the proposed EVLBL-based PSO algorithm (EVPSO) significantly enhanced the calibration efficiency and positional accuracy of the beacon array. Compared with conventional methods, the estimation error of the beacon positions was reduced from 6.40 m to within 1.00 m. After compensating for the beacon array positions, the positioning error of the LBL system decreased from approximately 5.00 m (with conventional methods) to around 1.00 m (with EVPSO), demonstrating the effectiveness of the proposed approach.

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“…The conventional predictive current control uses the first-order Lagrange equation to approximate the predicted reference currents. Presently, it is well known that there are many artificial intelligence (AI) techniques to apply for the optimization problems in the engineering researches such as the multiobjective harmony search (MOHS) [29], artificial bee colony (ABC) [30,31], competition particle swarm optimization (CPSO) [32], genetic algorithm (GA) [33], and adaptive Tabu search (ATS) [34][35][36][37][38][39][40][41][42][43][44][45][46][47]. The ATS method is developed by Puangdownreong et al in 2002 [34].…”

Section: Introductionmentioning

confidence: 99%

Instantaneous Power Theory with Fourier and Optimal Predictive Controller Design for Shunt Active Power Filter

Tiyarachakun

Areerak

2014

Modelling and Simulation in Engineering

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This paper presents a novel harmonic identification algorithm of shunt active power filter for balanced and unbalanced three-phase systems based on the instantaneous power theory called instantaneous power theory with Fourier. Moreover, the optimal design of predictive current controller using an artificial intelligence technique called adaptive Tabu search is also proposed in the paper. These enhancements of the identification and current control parts are the aim of the good performance for shunt active power filter. The good results for harmonic mitigation using the proposed ideas in the paper are confirmed by the intensive simulation using SPS in SIMULINK. The simulation results show that the enhanced shunt active power filter can provide the minimum %THD (Total Harmonic Distortion) of source currents and unity power factor after compensation. In addition, the %THD also follows the IEEE Std. 519-1992.

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Novel Particle Swarm Optimization and Its Application in Calibrating the Underwater Transponder Coordinates

Cited by 4 publications

References 30 publications

Reasonable Layout of Roadway Based on PSO-AHP Optimization Algorithm Under Three-Dimensional Stress Field

Reasonable Layout of Roadway Based on PSO-AHP Optimization Algorithm Under Three-Dimensional Stress Field

A Novel Positional Calibration Method for an Underwater Acoustic Beacon Array Based on the Equivalent Virtual Long Baseline Positioning Model

Instantaneous Power Theory with Fourier and Optimal Predictive Controller Design for Shunt Active Power Filter

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