Research on Thrust Distribution Algorithm of Power Positioning Ship Based on Optimal Energy Consumption

Cao, Yuxuan; Yang, Xinghai; Li, Houpu

doi:10.1145/3548608.3559208

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…In this study, SVD decomposition is used to decompose and estimate the covariance matrix based on the CKF algorithm. Its estimation accuracy is improved by up to 37.4% over three degrees of freedom compared with Cholesky decomposition [23]. In numerical matrix decomposition, the SVD method reduces the dimensionality by retaining only the most important singular values and vectors and estimates the pure signal by removing the noisy signal vector components that fall in the noise space.…”

Section: Svd Methods Decomposes Estimated Covariance Arraymentioning

confidence: 99%

An Ultra-Wideband Indoor Localization Algorithm with Improved Cubature Kalman Filtering Based on Sigmoid Function

Lv,

Liu,

Gao

et al. 2024

Applied Sciences

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In this paper, an improved cubature Kalman filtering (CKF) is proposed using the Sigmoid function to address the problems of positioning accuracy degradation and large deviations in ultra-wideband (UWB) indoor positioning in non-line-of-sight environments. The improved CKF is based on the squared range difference (SRD) model of the time difference of arrival (TDOA) algorithm. The inaccurate impact of model estimation under non-Gaussian noise is reduced by updating the measurement noise matrix in real time. The covariance matrix is estimated using singular value decomposition (SVD) to solve the problem of degraded state estimation performance. The filtering effect of the improved CKF algorithm is evaluated by referring to the checkpoints in the dynamic trajectory. The experimental results show that the proposed algorithm effectively mitigates the impact of UWB ranging outliers in the occluded experimental environment, which makes the dynamic positioning trajectory smoother, better fitted, and more stable. The algorithm improves the positioning accuracy by up to 39.29% compared with the SRD model used alone.

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Section: Svd Methods Decomposes Estimated Covariance Arraymentioning

confidence: 99%

An Ultra-Wideband Indoor Localization Algorithm with Improved Cubature Kalman Filtering Based on Sigmoid Function

Lv,

Liu,

Gao

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…After updating and optimizing each individual need to determine whether the number of attempts on the set value (can be set to m), if the individual's fitness value still does not reach the optimum after m attempts, it is necessary to execute the random operator and retain the current optimum individual fitness value; if the optimum is reached after m attempts then end the individual evolution, and then update the global optimum [7].…”

Section: Algorithm Execution Stepsmentioning

confidence: 99%

Thrust distribution algorithm based on supervision and switching and swarm intelligence

Yang¹

2023

HSET

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The ship power positioning control system is the key to maintain the normal operation of the ship, and it is also the basic premise and foundation for the accurate positioning and stable forward movement of the ship, so many ship management and production enterprises attach great importance to the design and construction of the ship power positioning control system. "Thrust distribution" has always been the key technology for designing and constructing ship power positioning control system. When constructing ship power positioning control system by using thrust distribution technology, it is not only necessary to consider the constraint optimization of thrust limit and thrust rate of change limit of propeller, but also the constraint optimization of azimuth rate of change limit, mechanical wear optimization, restricted area limit optimization, etc. It is also necessary to consider the constraint optimization of azimuth rate of change limit, mechanical wear and tear, restricted area limit, etc. The thrust distribution algorithm based on supervision and switching and group intelligence can comprehensively deal with these constraints, which can improve the functions of the ship power positioning control system and solve the convergence problem in the system operation, and improve the operation efficiency, safety and stability of the ship power positioning control system. In this paper, the author discusses the thrust distribution algorithm based on supervision and switching and group intelligence in depth, combining relevant literature and the actual problem of thrust distribution.

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Research on Thrust Distribution Algorithm of Power Positioning Ship Based on Optimal Energy Consumption

Cited by 2 publications

References 2 publications

An Ultra-Wideband Indoor Localization Algorithm with Improved Cubature Kalman Filtering Based on Sigmoid Function

An Ultra-Wideband Indoor Localization Algorithm with Improved Cubature Kalman Filtering Based on Sigmoid Function

Thrust distribution algorithm based on supervision and switching and swarm intelligence

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