The load frequency control of a multi-area system integrated with distributed generation resources are applied in this study using improved coati optimization algorithm (ICOA). Wind turbines' intermittent power ou...
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This paper introduces a research endeavour that utilizes a fractional-order control methodology based on Particle Swarm optimization (PSO) to address the intricacies of the non-linear Twin Rotor Multi-input Multi-Outp...
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The proceedings contain 328 papers. The topics discussed include: investigation and performance analysis of thermo electric cooling system for electric vehicle;design of neural network-based self-tuning control for hi...
ISBN:
(纸本)9798331509675
The proceedings contain 328 papers. The topics discussed include: investigation and performance analysis of thermo electric cooling system for electric vehicle;design of neural network-based self-tuning control for high step-forward converters in renewable energy-powered hybrid electric vehicles;applications of artificial intelligence and machine learning for accurate forecasting and optimization of renewable energy generation;enhanced thermo-physical properties of titanium dioxide nanofluids: applications in renewable energy systems and smart grid cooling technologies;viscosity behavior of multi-walled carbon nanotube nanofluids for advanced renewable energy cooling and storage systems;electric vehicle with enhanced power reliability and integrated charging technology;and adaptive rooftop solar system with optical wireless charging for electric vehicle batteries.
With changes in speed, cranes inevitably experience swinging, making precise lifting difficult. Taking a suspended crane as an example, this study analyzes the mathematical characteristics of the crane. Through MATLAB...
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ISBN:
(纸本)9798350366105;9798350366099
With changes in speed, cranes inevitably experience swinging, making precise lifting difficult. Taking a suspended crane as an example, this study analyzes the mathematical characteristics of the crane. Through MATLAB/SIMULINK simulation analysis, it focuses on examining the operational performance of the crane under different working conditions. Conventional PID control parameter optimization is applied to the crane's load swing angle. Comparative analysis is conducted on experiments with and without an anti-swing control system. The results indicate that the PID controller can rapidly and effectively reduce swinging angles. This research provides valuable references for the dynamic optimization, system parameter selection, and swing control of suspended cranes.
In the context of UAV path planning for photovoltaic panel inspection across complex regional distributions, traditional heuristic search algorithms and intelligent optimization algorithms struggle to effectively opti...
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ISBN:
(纸本)9798350352634;9798350352627
In the context of UAV path planning for photovoltaic panel inspection across complex regional distributions, traditional heuristic search algorithms and intelligent optimization algorithms struggle to effectively optimize the global path while ensuring complete coverage of the photovoltaic panel areas. This paper proposes a UAV photovoltaic panel inspection path planning method based on an improved particle swarm optimization algorithm. The method optimizes node traversal through priority encoding and heuristic path generation strategies, and introduces adaptive inertia weights and adaptive factors to balance global and local search. Experimental results show that this algorithm reduces the total path distance by 10.61% and 3.61% compared to the Nearest Neighbor Heuristic and Genetic Algorithm, respectively, significantly enhancing the efficiency and precision of path planning.
The proceedings contain 175 papers. The topics discussed include: an optimized inverse neural network control augmented with feedback PI controller for time-varying systems;image encryption using neural network based ...
ISBN:
(纸本)9798331528201
The proceedings contain 175 papers. The topics discussed include: an optimized inverse neural network control augmented with feedback PI controller for time-varying systems;image encryption using neural network based chaotic systems;investigating the impact of update frequency on PID controller performance in autonomous robotics;deep learning framework for constellation signal classification in underwater optical wireless communication systems;fuzzy based web automation for smart power supply controller;ensembled machine learning models for antenna optimization in wireless communication/ biomedical applications;vertically integrated substrate integrated cavity based filtering antenna;network intrusion detection system using autoencoders;and a comparative study of Wallace tree multiplier and binary multiplier performance.
In order to address the load frequency issue in a three-area power generating system, this research suggests a teaching learning-based optimization-linear matrix, inequalities-tuned proportional-integral controller. T...
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In order to address the load frequency issue in a three-area power generating system, this research suggests a teaching learning-based optimization-linear matrix, inequalities-tuned proportional-integral controller. The suggested TLBO-LMI ap-proach synchronizes TLBO with LMI control toolbox optimization to acquire the ideal control parameters of the traditional PI controller that adhere to the robust Hoo constraints. Based on the suggested control's simplicity of implementation, adaptability to changes in the system's characteristics, and resilience to tuning, it is contrasted with the robust Hoo controller. Several performance indicators were also employed to evaluate and contrast the efficiency and performance of the Hoo controller and the suggested control techniques. Based on the simulation results used to study the performance and robustness of the suggested controller, it is clear that the proposed control approach outperforms the Hoo controller in terms of both performance and applicability for the LFC problem.& COPY;2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).Peer-review under responsibility of the scientific committee of the the 3rdinternationalconference on Power and Electrical Engineering.
This research paper explores the transformative potential of integrating Internet of Things (IoT) devices into smart home technologies, ushering in a new era of energy-efficient living. Focusing on energy optimization...
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In view of the high energy consumption of the drainage system of the central pump house in coal mine, this paper proposes a comprehensive optimization scheme. Combining the advantages of "avoiding peak to valley&...
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ISBN:
(纸本)9798350375145;9798350375138
In view of the high energy consumption of the drainage system of the central pump house in coal mine, this paper proposes a comprehensive optimization scheme. Combining the advantages of "avoiding peak to valley" power management method and pump frequency control technology, the traditional single fuzzy controller is optimized, and three fuzzy controllers using different fuzzy control rules in different time periods are proposed. The bubbling sorting algorithm is used to optimize the pump scheduling. Design the simulation model of drainage system in Simulink. The simulation results show that the above optimization scheme can significantly reduce the cost of mine drainage and realize the purpose of energy saving.
Four various fractional-order nonlinear proportional-integral-derivative (FONPID) controllers are compared in this paper. They were all tuned using the Cuckoo Search Algorithm (CSA) based on various performance metric...
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