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- 摘要
- 关键词
- 实验方案
- 产品
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[IEEE 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) - Singapore (2018.5.22-2018.5.25)] 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) - Solar Plant Integration to Utility Grid with Improved Power Quality by using RNN-Hebbian-LMS Current Controller
摘要： In this paper a new topology of current control technique is proposed, to transfer the improved quality of power produced from the solar plant to the utility grid. Also, a high-gain high-efficient converter driving with Kalman MPPT is used to boost the low voltage levels of the PV array. The proposed control uses recurrent neural network RNN-Hebbian -LMS based current controller to achieve the better performance in terms of power quality. The RNN network uses feedback signals to control the current flow from solar plant to the utility grid. The Hebbian - LMS (least mean square) algorithm is used to update the weights of the RNN based current controller. The main advantage of the RNN-Hebbian-LMS current control technique is to maintain the constant voltage. Besides, it also provides system stability over wide range of parameter variations and damp out the oscillations quickly. The proposed algorithm is able to overcome the stability and sensitivity problems incurred with the conventional PI current controller. The simulation results will be compared with the conventional PI and proposed RNN-Hebbiab-LMS current controllers. Finally, the proposed current controller shows the improved power quality, quick settling time and more stable comparing with the conventional controllers.
关键词： Least Mean Square (LMS),Utility Grid,Solar Plant,High-Gain converter,PV array,Maximum Power Point Tracking (MPPT),Recurrent Neural Network (RNN)
更新于2025-09-23 15:21:21
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A Novel Two Dimensional Adaptive Filtering Algorithm for Image De-Noising via Fractional Gradient
摘要： In the recent decade it has been witnessed that raster images are the primary source of law enforcement, information for numerous applications such as bio-medical, geographical information system (GIS), photography, astronomy, etc. Primarily, the quality of raster images compromises due to the surrounding factors of these applications. Because, it is very difficult to control surrounding parameter (light, motion, distance) while acquiring images. Therefore, the image acquisition in these applications is very much prone to the noise. In the literature, researchers have targeted this issue and have already devised classical image filters for image de-noising. Afterwards, in the recent years the performance of classical filtering was further improved by employing two dimensional adaptive filters (2-DAF) for image de-noising and enhancement. In the literature, researchers have reported the performance comparisons of various 2-DAF specifically for image restoration, enhancement, estimation, and de-noising. In this paper an extended version of one dimensional fractional least mean square (1-DFLMS) to two dimensional fractional least mean square (2-DFLMS) is presented. Moreover the performance of the proposed algorithm has been rigorously compared with the existing and most employed 2-DAF algorithm namely, two dimensional least mean square (2-DLMS), two dimensional variable step size least mean square (2-DVSSLMS). The simulation results illustrate the notable performance edge of the proposed algorithm with the existing approaches.
关键词： Image de-noising,least mean square (LMS),fractional least mean square (FLMS),two-dimensional adaptive filtering,variable step size least mean square (VSSLMS)
更新于2025-09-23 15:21:01
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Quasi blind carrier phase estimation scheme for special-shaped circular (7,1) modulation in high-speed visible light communication
摘要： A novel digital signal processing (DSP) scheme for special-shaped circular (7,1) modulated signals based on quasi blind carrier phase estimation (QBCPE) is proposed. The results show that applying 0.33‰ overhead QBCPE provides similar performance as 3% training sequence data-aided equalization of least mean square (LMS) algorithm.
关键词： Constant Modulus Algorithm (CMA),visible light communication (VLC),least mean square (LMS),circular (7,1) modulation,quasi blind carrier phase estimation (QBCPE)
更新于2025-09-23 15:21:01
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[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Autonomous Path Planning by Unmanned Aerial Vehicle (UAV) for Precise Monitoring of Large-Scale PV plants
摘要： This paper presents a 3.6 GHz low-noise fractional-N digital phase-locked loop (PLL) that achieves low in-band phase noise. Phase detection is carried out by a proposed 10-bit, 0.8 ps resolution time-to-digital converter (TDC) using a charge pump and a successive-approximation-register analog-to-digital converter (SAR-ADC) with low power and small area. The latency of the TDC is addressed by the designed building blocks. The fractional spurs are reduced by dual-loop least-mean-square (LMS) calibration. A (cid:2)(cid:3)-less and MOS varactor-less LC digitally-controlled oscillator (DCO) is proposed whose frequency resolution is enhanced to 7 kHz (or a unit variable capacitance of 2.6 aF) using a bridging capacitor technique. A prototype chip is fabricated using a 65 nm CMOS process, occupying an active area of 0.38 mm2 and consuming a power of 9.7 mW at a reference frequency of 50 MHz. The measured in-band phase noise is 107.8 dBc/Hz to 110.0 dBc/Hz with a loop bandwidth of 1 to 5 MHz.
关键词： digitally controlled oscillator (DCO),least-mean-square (LMS),digital phase-locked-loop (PLL),time-to-digital converter (TDC),successive-approximation-register analog-to-digital converter (SAR-ADC),frequency synthesizer,CMOS,sub-picosecond resolution
更新于2025-09-23 15:19:57