Experimental investigation on performance comparison of self excited induction generator and permanent magnet synchronous generator for small scale renewable energy applications

Krishna, V.B. Murali; Vuddanti, Sandeep; Murthy, S. Srinivasa; Yadlapati, Kishore

doi:10.1016/j.renene.2022.06.051

Cited by 48 publications

(14 citation statements)

References 35 publications

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“…If the tracking task of the second newest frame is successful, the relocation step can be ignored; otherwise, the current frame needs to be relocalized, and ðR w c k ; p w c k Þ is estimated. In the LMO method, the objective function is established through frame-to-frame optimization using Jacobian matrices e p,k−h , e l,k −g , and e π,k−j , as shown in Eq (5).…”

Section: Plos Onementioning

confidence: 99%

“…Key technologies influencing wheeled robots include perception and planning, localization, and control [4]. However, the accuracy of wheeled robot localization in complex unknown environments remains a challenge [5,6]. Commonly used methods for robot localization include Simultaneous Localization and Mapping (SLAM), which leverage sensor data to construct maps and determine robot positions [7].…”

Section: Introductionmentioning

confidence: 99%

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Vision SLAM algorithm for wheeled robots integrating multiple sensors

Zhou,

Zhou

2024

PLoS ONE

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Wheeled robots play a crucial role in driving the autonomy and intelligence of robotics. However, they often encounter challenges such as tracking loss and poor real-time performance in low-texture environments. In response to these issues, this research proposes a real-time localization and mapping algorithm based on the fusion of multiple features, utilizing point, line, surface, and matrix decomposition characteristics. Building upon this foundation, the algorithm integrates multiple sensors to design a vision-based real-time localization and mapping algorithm for wheeled robots. The study concludes with experimental validation on a two-wheeled robot platform. The results indicated that the multi-feature fusion algorithm achieved the highest average accuracy in both conventional indoor datasets (84.57%) and sparse-feature indoor datasets (82.37%). In indoor scenarios, the vision-based algorithm integrating multiple sensors achieved an average accuracy of 85.4% with a processing time of 64.4 ms. In outdoor scenarios, the proposed algorithm exhibited a 14.51% accuracy improvement over a vision-based algorithm without closed-loop detection. In summary, the proposed method demonstrated outstanding accuracy and real-time performance, exhibiting favorable application effects across various practical scenarios.

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Section: Plos Onementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Vision SLAM algorithm for wheeled robots integrating multiple sensors

Zhou,

Zhou

2024

PLoS ONE

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“…The performance limitations of EMGs due to ruler shrinkage are critical in SWTs. 215 Researchers have been primarily focused on small EMG design 216 , 217 , 218 to overcome this issue. Ajamloo et al.…”

Section: Power Generation Mechanismsmentioning

confidence: 99%

Small wind turbines and their potential for internet of things applications

Wang,

Xiong,

Zhang

et al. 2023

iScience

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“…To mitigate these problems, various control and compensation strategies can be employed, such as the use of voltage regulators [11][12], capacitors [13][14], and harmonic filters [15][16]. Proper design, installation, and maintenance can also help ensure reliable and efficient operation of induction generators in various applications.…”

Section: Introductionmentioning

confidence: 99%

Voltage and frequency regulation induction generator employing AC-AC converter

Krismadinata,

Fiandri,

Asnil

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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One of potential problem in induction generator is voltage and frequency instability. Induction generators (IG) can experience voltage and frequency fluctuations due to changes in the load. This paper presents a control strategy for voltage and frequency regulation of an induction generator using an electronic load controller (ELC). Three-phase AC-AC converter is employed as an ELC. The control system is designed to ensure the steady-state and transient stability of the IG under various operating conditions. The effectiveness of the proposed control method is demonstrated through simulation. MATLAB/Simulink software is utilized to analyze and verified the proposed control method. The simulation results show that it can provide accurate voltage and frequency regulation while maintaining stable operation of the IG. The proposed approach offers a promising solution for IG applications in renewable energy systems, where precise control of voltage and frequency is crucial for efficient and reliable power generation

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Experimental investigation on performance comparison of self excited induction generator and permanent magnet synchronous generator for small scale renewable energy applications

Cited by 48 publications

References 35 publications

Vision SLAM algorithm for wheeled robots integrating multiple sensors

Vision SLAM algorithm for wheeled robots integrating multiple sensors

Small wind turbines and their potential for internet of things applications

Voltage and frequency regulation induction generator employing AC-AC converter

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