scholarly journals Synthesis of the Sparse Uniform-Amplitude Concentric Ring Transmitting Array for Optimal Microwave Power Transmission

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Hua-Wei Zhou ◽  
Xue-Xia Yang ◽  
Sajjad Rahim
Keyword(s):  
Microwave Power ◽  
Large Scale ◽  
Power Transmission ◽  
Synthesis Method ◽  
Pso Algorithm ◽  
Practical Significance ◽  
Concentric Ring ◽  
Swarm Optimization ◽  
Key Factor ◽  
Feed Network

Beam capture efficiency (BCE) is one key factor of the overall efficiency for a microwave power transmission (MPT) system, while sparsification of a large-scale transmitting array has a practical significance. If all elements of the transmitting array are excited uniformly, the fabrication, maintenance, and feed network design would be greatly simplified. This paper describes the synthesis method of the sparse uniform-amplitude transmitting array with concentric ring layout using particle swarm optimization (PSO) algorithm while keeping a higher BCE. Based on this method, uniform exciting strategy, reduced number of elements, and a higher BCE are achieved simultaneously for optimal MPT. The numerical results of the sparse uniform-amplitude concentric ring arrays (SUACRAs) optimized by the proposed method are compared with those of the random-located uniform-amplitude array (RLUAA) and the stepped-amplitude array (SAA), both being reported in the literatures for the maximum BCE. Compared to the RLUAA, the SUACRA saves 32% elements with a 1.1% higher BCE. While compared to the SAA, the SUACRA saves 29.1% elements with a bit higher BCE. The proposed SUACRAs have higher BCEs, simple array arrangement and feed network, and could be used as the transmitting array for a large-scale MPT system.

scholarly journals A Novel Particle Swarm Optimization Algorithm Based on Reinforcement Learning Mechanism for AUV Path Planning

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Haoqian Huang ◽  
Chao Jin
Keyword(s):  
Particle Swarm Optimization ◽  
Reinforcement Learning ◽  
Path Planning ◽  
Autonomous Underwater Vehicle ◽  
Synthesis Method ◽  
Particle Swarm ◽  
Pso Algorithm ◽  
Feedback Mechanism ◽  
Swarm Optimization ◽  
Learning Mechanism

In order to solve the problems of rapid path planning and effective obstacle avoidance for autonomous underwater vehicle (AUV) in 2D underwater environment, this paper proposes a path planning algorithm based on reinforcement learning mechanism and particle swarm optimization (RMPSO). A feedback mechanism of reinforcement learning is embedded into the particle swarm optimization (PSO) algorithm by using the proposed RMPSO to improve the convergence speed and adaptive ability of the PSO. Then, the RMPSO integrates the velocity synthesis method with the Bezier curve to eliminate the influence of ocean currents and save energy for AUV. Finally, the path is developed rapidly and obstacles are avoided effectively by using the RMPSO. Simulation and experiment results show the superiority of the proposed method compared with traditional methods.

Hybrid Particle Swarm Optimization Algorithm for Large-Scale Travelling Salesman Problem

2014 ◽  
Vol 513-517 ◽  
pp. 1773-1778
Author(s):  
Jiang Wei Zhang
Keyword(s):  
Particle Swarm Optimization ◽  
Large Scale ◽  
Travelling Salesman Problem ◽  
Particle Swarm ◽  
Evolutionary Process ◽  
Pso Algorithm ◽  
Process Time ◽  
Swarm Optimization ◽  
Hybrid Particle Swarm Optimization ◽  
Evolution Stage

Based on the improved enhanced self-tentative (IEST) particle swarm optimization (PSO) algorithm, 2-opt local searching algorithm is introduced in the later evolution stage. 2-opt method further strengthen the self-tentative and make up the deficiency of the IEST PSO algorithm and solve the cross solution problem. The hybrid PSO algorithm greatly increases the chances to find the better solution in the evolutionary process. Time complexity of the 2-opt method is analyzed. Based on this the proper parameters is set to solve different benchmark TSP problems, numerical simulation results show the effectiveness and efficiency of the hybrid PSO algorithm.

Particle Swarm Optimization Based Dimension Synthesis of the Experimental Mechanism for Elastic Bungee Jumping Ropes

2011 ◽  
Vol 84-85 ◽  
pp. 214-218
Author(s):  
Fu Xiang Zhang ◽  
Wen Zhong Li
Keyword(s):  
Particle Swarm Optimization ◽  
Optimal Algorithm ◽  
Synthesis Method ◽  
Particle Swarm ◽  
Pso Algorithm ◽  
Swarm Optimization ◽  
Swing Angle ◽  
Drawing Method ◽  
Better Than ◽  
Optimal Calculation

In order to provide an experimental machine for elastic bungee jumping ropes, a prototype of experimental mechanism was designed, and its principles were analyzed. A dimension synthesis method of the experimental mechanism based on the particle swarm optimization (PSO) was brought forward. The aim of optimization was to find the optimized parameters of the mechanism by which the elastic bungee jumping ropes were pulled at the minimum swing angle. An optimization program of the PSO algorithm in the Matlab environment was developed and the optimal calculation was done. The result proved the validity of the algorithm. The calculation result showed that the optimal algorithm made the elastic bungee jumping ropes pulled at the minimum swing angle of only 8.783 degree, which was better than that of the handwork drawing method used by an engineer, so the parameters got by the PSO method can

Particle Swarm Optimization MPPT Method for PV Materials in Partial Shading

2011 ◽  
Vol 321 ◽  
pp. 72-75 ◽  
Author(s):  
Chun Xia Liu ◽  
Li Qun Liu
Keyword(s):  
Particle Swarm Optimization ◽  
Large Scale ◽  
Particle Swarm ◽  
Response Speed ◽  
Pso Algorithm ◽  
Development Stage ◽  
Partial Shading ◽  
Swarm Optimization ◽  
The Real ◽  
Point Tracking

Today, the large-scale Photovoltaic (PV) power system, connected to grid, is in their advanced development stage and is extremely interest in whole world. The real large-scale PV array can be partially shaded by the shadow of building, cloud, bird and dirt. The output characteristic of PV materials in partially shaded conditions is strong nonlinear, and there are multi local peaks in output power voltage curve, and the only one real peak exists in these local peaks. Certainly, the maximum power point tracking (MPPT) method is very important to extract the as much as possible energy from the costly PV materials. The variant weight Particle Swarm Optimization (PSO) method is proposed to track the real peak by using the excellent multi-peak value optimization characteristic of PSO algorithm. The simulation results shows that the proposed PSO method can improve the response speed and output efficiency of PV materials in partial shading as compared to the conventional Incremental conductance (IC) method.

Intelligent Lighting Control System in Large-Scale Sports Competition Venues

2018 ◽  
pp. 172-182 ◽  
Author(s):  
Shengmin CAO
Keyword(s):  
Control System ◽  
Large Scale ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Practical Significance ◽  
Lighting Control ◽  
Sports Events ◽  
Planning And Design ◽  
Comprehensive Evaluation Model

This paper mainly studies the application of intelligent lighting control system in different sports events in large sports competition venues. We take the Xiantao Stadium, a large­scale sports competition venue in Zaozhuang City, Shandong Province as an example, to study its intelligent lighting control system. In this paper, the PID (proportion – integral – derivative) incremental control model and the Karatsuba multiplication model are used, and the intelligent lighting control system is designed and implemented by multi­level fuzzy comprehensive evaluation model. Finally, the paper evaluates the actual effect of the intelligent lighting control system. The research shows that the intelligent lighting control system designed in this paper can accurately control the lighting of different sports in large stadiums. The research in this paper has important practical significance for the planning and design of large­scale sports competition venues.

Going the Distance

2020 ◽  
Author(s):  
Ron Harris
Keyword(s):  
Large Scale ◽  
Western Europe ◽  
Family Firms ◽  
Global Trade ◽  
Long Distance ◽  
Business Corporation ◽  
Modern Economy ◽  
Key Factor ◽  
Silk Route ◽  
Passive Investors

Before the seventeenth century, trade across Eurasia was mostly conducted in short segments along the Silk Route and Indian Ocean. Business was organized in family firms, merchant networks, and state-owned enterprises, and dominated by Chinese, Indian, and Arabic traders. However, around 1600 the first two joint-stock corporations, the English and Dutch East India Companies, were established. This book tells the story of overland and maritime trade without Europeans, of European Cape Route trade without corporations, and of how new, large-scale, and impersonal organizations arose in Europe to control long-distance trade for more than three centuries. It shows that by 1700, the scene and methods for global trade had dramatically changed: Dutch and English merchants shepherded goods directly from China and India to northwestern Europe. To understand this transformation, the book compares the organizational forms used in four major regions: China, India, the Middle East, and Western Europe. The English and Dutch were the last to leap into Eurasian trade, and they innovated in order to compete. They raised capital from passive investors through impersonal stock markets and their joint-stock corporations deployed more capital, ships, and agents to deliver goods from their origins to consumers. The book explores the history behind a cornerstone of the modern economy, and how this organizational revolution contributed to the formation of global trade and the creation of the business corporation as a key factor in Europe's economic rise.

5.8 GHz Microwave Power Transmission System for Micro-Robot

ROBOT ◽  
2010 ◽  
Vol 32 (4) ◽  
pp. 529-533
Author(s):  
Pengfei WANG ◽  
Jianshan XIAO ◽  
Mantian LI ◽  
Lining SUN
Keyword(s):  
Microwave Power ◽  
Power Transmission ◽  
Transmission System ◽  
Power Transmission System ◽  
Micro Robot
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