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  • 1
    Online Resource
    Online Resource
    MPPT Control Strategy of PV Based on Improved Shuffled Frog Leaping Algorithm under Complex Environments
    Hindawi Limited ; 2017
    In:  Journal of Control Science and Engineering Vol. 2017 ( 2017), p. 1-11
    Details
    In: Journal of Control Science and Engineering, Hindawi Limited, Vol. 2017 ( 2017), p. 1-11
    Abstract: This work presents a maximum power point tracking (MPPT) based on the particle swarm optimization (PSO) improved shuffled frog leaping algorithm (PSFLA). The swarm intelligence algorithm (SIA) has vast computing ability. The MPPT control strategies of PV array based on SIA are attracting considerable interests. Firstly, the PSFLA was proposed by adding the inertia weight factor w of PSO in standard SFLA to overcome the defect of falling into the partial optimal solutions and slow convergence speed. The proposed PSFLA algorithm increased calculation speed and excellent global search capability of MPPT. Then, the PSFLA was applied to MPPT to solve the multiple extreme point problems of nonlinear optimization. Secondly, for the problems of MPPT under complex environments, a new MPPT strategy of the PSFLA combined with recursive least square filtering was proposed to overcome the measurement noise effects on MPPT accuracy. Finally, the simulation comparisons between PSFLA and SFLA algorithm were developed. The experiment and comparison between PSLFA and PSO algorithm under complex environment were executed. The simulation and experiment results indicate that the proposed MPPT control strategy based on PSFLA can suppress the measurement noise effects effectively and improve the PV array efficiency.
    Type of Medium: Online Resource
    ISSN: 1687-5249 , 1687-5257
    URL: Article
    DOI: 10.1155/2017/2186420
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2017
    detail.hit.zdb_id: 2267501-2
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  • 2
    Online Resource
    Online Resource
    Research on Dynamic Modeling of KF Algorithm for Detecting Distorted AC Signal
    MDPI AG ; 2021
    In:  Energies Vol. 14, No. 23 ( 2021-12-06), p. 8175-
    Details
    In: Energies, MDPI AG, Vol. 14, No. 23 ( 2021-12-06), p. 8175-
    Abstract: Kalman filter (KF) is often based on two models, which are phase angle vector (PAV) model and orthogonal vector (OV) model, in the application of distorted grid AC signal detection. However, these two models lack rigorous and detailed derivation from the principle of dynamic modeling. This paper presents a phase angle vector dynamic (PAVD) model and an orthogonal vector dynamic (OVD) model, which are combined with Kalman filter for detecting distorted grid AC signal. They reveal that the state noise covariance of the dynamic model−based KF is related to the sampling cycle, and overcome the defect of more detecting error for conventional model−based KF. Experiment and evaluation results show that the proposed KF algorithms are reasonable and effective. Therefore, this paper contributes a guiding significance for the application of KF algorithm in harmonic detection.
    Type of Medium: Online Resource
    ISSN: 1996-1073
    URL: Article
    DOI: 10.3390/en14238175
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2437446-5
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  • 3
    Online Resource
    Online Resource
    Adaptive Tracking Method of Distorted Voltage Using IMM Algorithm under Grid Frequency Fluctuation Conditions
    MDPI AG ; 2021
    In:  Energies Vol. 14, No. 23 ( 2021-11-26), p. 7944-
    Details
    In: Energies, MDPI AG, Vol. 14, No. 23 ( 2021-11-26), p. 7944-
    Abstract: This paper newly proposes an interactive multiple model (IMM) algorithm to adaptively track distorted AC voltage with the grid frequency fluctuation. The usual tracking methods are Kalman filter (KF) algorithm with a fixed frequency and KF algorithm with frequency identifier. The KF algorithm with a fixed frequency has a larger covariance parameter to guarantee the tracking robustness. However, it has a large tracking error. The KF algorithm with frequency identifier overly depends on the accuracy and stability of frequency identifier. The advantage of the proposed method is that it is decoupled from frequency detection and does not depend on frequency detection accuracy. First, the orthogonal vector dynamic (OVD) tracking model of the sine wave is established. Then, a model set covering the grid frequency fluctuation range is formed, and a new OVD-IMM tracking algorithm is proposed in combination with IMM algorithm. In the end, the effectiveness and accuracy of the proposed OVD-IMM algorithm are verified through simulations and experiments.
    Type of Medium: Online Resource
    ISSN: 1996-1073
    URL: Article
    DOI: 10.3390/en14237944
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2437446-5
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  • 4
    Online Resource
    Online Resource
    Chaos Quantum-Behaved Cat Swarm Optimization Algorithm and Its Application in the PV MPPT
    Hindawi Limited ; 2017
    In:  Computational Intelligence and Neuroscience Vol. 2017 ( 2017), p. 1-11
    Details
    In: Computational Intelligence and Neuroscience, Hindawi Limited, Vol. 2017 ( 2017), p. 1-11
    Abstract: Cat Swarm Optimization (CSO) algorithm was put forward in 2006. Despite a faster convergence speed compared with Particle Swarm Optimization (PSO) algorithm, the application of CSO is greatly limited by the drawback of “premature convergence,” that is, the possibility of trapping in local optimum when dealing with nonlinear optimization problem with a large number of local extreme values. In order to surmount the shortcomings of CSO, Chaos Quantum-behaved Cat Swarm Optimization (CQCSO) algorithm is proposed in this paper. Firstly, Quantum-behaved Cat Swarm Optimization (QCSO) algorithm improves the accuracy of the CSO algorithm, because it is easy to fall into the local optimum in the later stage. Chaos Quantum-behaved Cat Swarm Optimization (CQCSO) algorithm is proposed by introducing tent map for jumping out of local optimum in this paper. Secondly, CQCSO has been applied in the simulation of five different test functions, showing higher accuracy and less time consumption than CSO and QCSO. Finally, photovoltaic MPPT model and experimental platform are established and global maximum power point tracking control strategy is achieved by CQCSO algorithm, the effectiveness and efficiency of which have been verified by both simulation and experiment.
    Type of Medium: Online Resource
    ISSN: 1687-5265 , 1687-5273
    URL: Article
    DOI: 10.1155/2017/1583847
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2017
    detail.hit.zdb_id: 2388208-6
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  • 5
    Online Resource
    Online Resource
    Obese Individuals Show Disrupted Dynamic Functional Connectivity between Basal Ganglia and Salience Networks
    Oxford University Press (OUP) ; 2021
    In:  Cerebral Cortex Vol. 31, No. 12 ( 2021-10-22), p. 5676-5685
    Details
    In: Cerebral Cortex, Oxford University Press (OUP), Vol. 31, No. 12 ( 2021-10-22), p. 5676-5685
    Abstract: Previous functional magnetic resonance imaging (fMRI) studies have showed obesity (OB)-related alterations in intrinsic functional connectivity (FC) within and between different resting-state networks (RSNs). However, few studies have examined dynamic functional connectivity (DFC). Thus, we employed resting-state fMRI with independent component analysis (ICA) and DFC analysis to investigate the alterations in FC within and between RSNs in 56 individuals with OB and 46 normal-weight (NW) controls. ICA identified six RSNs, including basal ganglia (BG), salience network (SN), right executive control network/left executive control network, and anterior default-mode network (aDMN)/posterior default-mode network. The DFC analysis identified four FC states. OB compared with NW had more occurrences and a longer mean dwell time (MDT) in state 2 (positive connectivity of BG with other RSN) and also had higher FC of BG–SN in other states. Body mass index was positively correlated with MDT and FCs of BG–aDMN (state 2) and BG–SN (state 4). DFC analysis within more refined nodes of RSNs showed that OB had more occurrences and a longer MDT in state 1 in which caudate had positive connections with the other network nodes. The findings suggest an association between caudate-related and BG-related positive FC in OB, which was not revealed by traditional FC analysis, highlighting the utility of adding DFC to the more conventional methods.
    Type of Medium: Online Resource
    ISSN: 1047-3211 , 1460-2199
    URL: Article
    DOI: 10.1093/cercor/bhab190
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
    detail.hit.zdb_id: 1483485-6
    SSG: 12
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  • 6
    Online Resource
    Online Resource
    Indoor robot path planning assisted by wireless network
    Springer Science and Business Media LLC ; 2019
    In:  EURASIP Journal on Wireless Communications and Networking Vol. 2019, No. 1 ( 2019-12)
    Details
    In: EURASIP Journal on Wireless Communications and Networking, Springer Science and Business Media LLC, Vol. 2019, No. 1 ( 2019-12)
    Type of Medium: Online Resource
    ISSN: 1687-1499
    URL: Article
    DOI: 10.1186/s13638-019-1437-x
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2019
    detail.hit.zdb_id: 2168613-0
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  • 7
    Online Resource
    Online Resource
    Effects of bisphenol A on mineral nutrition in soybean seedling roots
    Wiley ; 2015
    In:  Environmental Toxicology and Chemistry Vol. 34, No. 1 ( 2015-01), p. 133-140
    Details
    In: Environmental Toxicology and Chemistry, Wiley, Vol. 34, No. 1 ( 2015-01), p. 133-140
    Abstract: Bisphenol A (BPA) is a ubiquitous chemical in the environment and potentially harmful to plants. However, relevant studies of the effects of BPA on plants are relatively scarce. In the present work, the effects of BPA on the biomass (fresh wt and dry wt), absorptive function (activity and absorptive area), and mineral element levels in soybean ( Glycine max L.) seedling roots treated with 1.5 mg L −1 , 3.0 mg L −1 , 6.0 mg L −1 , 12.0 mg L −1 , 24.0 mg L −1 , 48.0 mg L −1 , and 96.0 mg L −1 BPA were investigated. Treatment with 1.5 mg L −1 BPA increased the levels of nitrate and other mineral elements (P, K, Mg, Mn, Zn, and Mo) in the roots, whereas treatments with BPA at higher concentrations decreased the levels of these elements in the roots. All treatments with BPA caused increases in the levels of ammonium, Ca, Fe, and Cu in the roots. Moreover, treatment with 1.5 mg L −1 BPA increased the fresh weight, dry weight, activity, and absorptive area of the roots, whereas treatments with BPA at higher concentrations decreased these indices in a dose‐dependent manner. Furthermore, correlation analysis data showed that BPA affected the levels of mineral elements and absorptive function of soybean seedling roots, which may be the physiological basis of BPA action on plants. Environ Toxicol Chem 2015;34:133–140. © 2014 SETAC
    Type of Medium: Online Resource
    ISSN: 0730-7268 , 1552-8618
    URL: Issue
    URL: Article
    DOI: 10.1002/etc.v34.1
    DOI: 10.1002/etc.2770
    Language: English
    Publisher: Wiley
    Publication Date: 2015
    detail.hit.zdb_id: 2027441-5
    SSG: 12
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  • 8
    Online Resource
    Online Resource
    Assessment of Interval PLS ( i PLS) Calibration for the Determination of Peroxide Value in Edible Oils
    Wiley ; 2015
    In:  Journal of the American Oil Chemists' Society Vol. 92, No. 10 ( 2015-10), p. 1405-1412
    Details
    In: Journal of the American Oil Chemists' Society, Wiley, Vol. 92, No. 10 ( 2015-10), p. 1405-1412
    Abstract: Partial least squares (PLS) is a commonly used (and sometimes misused) chemometric technique for calibrating Fourier transform infrared spectroscopy, and allows the analysis of a variety of quality parameters associated with edible oils. Peroxide value (PV) is a typical parameter of interest; however, developing a robust, optimal, and reliable calibration method can be a daunting task. This paper examines and compares the use of interval PLS as a tool to develop a PLS PV calibration method for a single‐bounce attenuated total reflectance accessory relative to full spectrum PLS and experienced PLS, making use of correlation, variance, and pure component spectra. Using mixtures of fresh and oxidized oil covering a PV range of 1–20 meq/kg, backward interval PLS could systematically produce quality calibrations without the need to resort to experienced PLS. The experienced PLS requires a degree of spectral knowledge as well as diligent and tedious spectral examination, including largely unstructured iterative calibrations and cross‐validations to improve calibration performance. The backward interval PLS is also better than the full spectrum PLS in terms of model performance. In addition, the general model developed could account for the errors caused by oil types.
    Type of Medium: Online Resource
    ISSN: 0003-021X , 1558-9331
    URL: Article
    DOI: 10.1007/s11746-015-2712-6
    Language: English
    Publisher: Wiley
    Publication Date: 2015
    detail.hit.zdb_id: 2041388-9
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  • 9
    Online Resource
    Online Resource
    Overview to the Hard X-ray Modulation Telescope (Insight-HXMT) Satellite
    Springer Science and Business Media LLC ; 2020
    In:  Science China Physics, Mechanics & Astronomy Vol. 63, No. 4 ( 2020-04)
    Details
    In: Science China Physics, Mechanics & Astronomy, Springer Science and Business Media LLC, Vol. 63, No. 4 ( 2020-04)
    Type of Medium: Online Resource
    ISSN: 1674-7348 , 1869-1927
    URL: Article
    DOI: 10.1007/s11433-019-1432-6
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 2546757-8
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  • 10
    Online Resource
    Online Resource
    Iodine value determination of edible oils using ATR‐FTIR and chemometric methods
    Wiley ; 2017
    In:  European Journal of Lipid Science and Technology Vol. 119, No. 9 ( 2017-09)
    Details
    In: European Journal of Lipid Science and Technology, Wiley, Vol. 119, No. 9 ( 2017-09)
    Abstract: Iodine value (IV) was determined using Fourier transform mid infrared spectroscopy with attenuated total reflection and chemometric methods. A set of 245 oil samples were used for calibration purposes, and 76 samples were used for validation purposes. Models developed using full spectra partial least square (PLS), interval PLS (iPLS), forward interval PLS (fiPLS), and backward interval PLS (biPLS) algorithms were compared in terms of performance. Root‐mean‐square error of leave‐one‐out cross‐validation (RMSECV) of 2.68 and root‐mean‐square errors of prediction (RMSEP) of 2.73 were obtained using biPLS algorithm with spectra divided into 34 intervals and combinations of eight intervals (4000–3700, 3600–3400, 3200–3000, 2800–2700, 2300–2100, 1700–1600, 1500–1400, and 1100–1000/cm). This model had a correlation coefficient of 0.9885. In addition, sub‐models based on one oil type had higher performances (RMSECV = 0.24–0.76, RMSEP = 0.29–1.25) than the model based on all oil samples, which suggests that the IV model is oil‐type dependent. However, PLS could compensate for this error provided the calibration set covered enough oil types. The proposed method allowed a rapid determination of IV. Practical applications : IV determination is important for edible oils and oleochemicals. However, traditional wet chemical methods require toxic solvents and reagents. FTIR coupled with multivariate analysis can be used to measure IV. Most of the studies on IV determination using FTIR have focused on specific single oil types without interval selection. A general IV model that incorporates several oil types is expected to improve prediction performances. Therefore, the present method represents a rapid and accurate tool for measuring IV of edible fats and oils. An ATR‐FTIR method combined with interval optimization is described to determine the iodine value in edible oil. The RMSECV for the prediction of IV from isolated wavelength intervals are compared with full‐spectrum PLS model in GA. The result showed that interval optimization is effective in term of improved prediction performance of IV.
    Type of Medium: Online Resource
    ISSN: 1438-7697 , 1438-9312
    URL: Issue
    URL: Article
    DOI: 10.1002/ejlt.v119.9
    DOI: 10.1002/ejlt.201600323
    Language: English
    Publisher: Wiley
    Publication Date: 2017
    detail.hit.zdb_id: 2012720-0
    SSG: 21
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