变电站内巡检无人机飞行器控制技术

随着科学技术的进步和电力体制的改革,电力系统自动化程度不断加强,变电站巡检工作正朝着无人化的趋势发展,借助无人机设备对变电站内的设备进行检验和监察,本文分析了无人机飞行器在变电站巡检中应用,通过那个科学技术的探究,优化无人机的飞行器控制技术,提高变电站的运行效率,让输变电生产安全和社会稳定性大大提高。

无人机控制技术在变电站巡检中的应用

阐述变电站巡检过程中的无人机飞行器控制技术,分析无人机飞行器控制系统结构、变电站巡检功能,包括自动导航定位、红外采集、视频采集、实时数据分析的功能。

自主无人机在农业施肥与除虫害的应用

针对我国传统的人工农药喷洒方式存在效率低下、环境污染等问题,对一种小型四旋翼无人机飞行器的喷洒控制系统进行研究。控制系统硬件设计采用STM32单片机作为主控芯片,姿态测量传感器采用高精度电子陀螺仪、磁力计、气压计。软件设计方面,将各个传感器采集到的数据通过算法进行数据融合,获取无人机实时姿态,实现对飞行器姿态的识别和控制。算法设计方面使用卡尔曼滤波算法、PID控制算法。该系统能够很好地识别和控制无人机的姿态,准确灵敏地按照操作人员的指示作业,满足低空喷洒农药的需求。

基于3D打印技术的多功能飞行器的发展研究

作为现代信息化的代表之一,无人飞行器朝着轻量化和小型化方向发展,其结构形式、系统功能也不断丰富,在国防安全、遥感监控、农林防火等诸多领域发挥了重要作用。为满足提高无人飞行器空间利用率的需要,达到搭载承重限度的更高要求,对其材料选择、工艺加工、系统性能进行优化设计成为必然选择。而3D打印技术具有成本低、周期短、便携制造、复制精确、能进行复杂加工和无废弃副产品等优点,可见,3D打印在无人驾驶飞行器的设计制造方面具有独特优势。

An optimization model of UAV route planning for road segment surveillance

Unmanned aerial vehicle(UAV)was introduced to take road segment traffic surveillance.Considering the limited UAV maximum flight distance,UAV route planning problem was studied.First,a multi-objective optimization model of planning UAV route for road segment surveillance was proposed,which aimed to minimize UAV cruise distance and minimize the number of UAVs used.Then,an evolutionary algorithm based on Pareto optimality technique was proposed to solve multi-objective UAV route planning problem.At last,a UAV flight experiment was conducted to test UAV route planning effect,and a case with three scenarios was studied to analyze the impact of different road segment lengths on UAV route planning.The case results show that the optimized cruise distance and the number of UAVs used decrease by an average of 38.43% and 33.33%,respectively.Additionally,shortening or extending the length of road segments has different impacts on UAV route planning.

Path planning for unmanned aerial vehicles in surveillance tasks under wind fields

The optimal path planning for fixed-wing unmanned aerial vehicles(UAVs) in multi-target surveillance tasks(MTST) in the presence of wind is concerned.To take into account the minimal turning radius of UAVs,the Dubins model is used to approximate the dynamics of UAVs.Based on the assumption,the path planning problem of UAVs in MTST can be formulated as a Dubins traveling salesman problem(DTSP).By considering its prohibitively high computational cost,the Dubins paths under terminal heading relaxation are introduced,which leads to significant reduction of the optimization scale and difficulty of the whole problem.Meanwhile,in view of the impact of wind on UAVs' paths,the notion of virtual target is proposed.The application of the idea successfully converts the Dubins path planning problem from an initial configuration to a target in wind into a problem of finding the minimal root of a transcendental equation.Then,the Dubins tour is derived by using differential evolution(DE) algorithm which employs random-key encoding technique to optimize the visiting sequence of waypoints.Finally,the effectiveness and efficiency of the proposed algorithm are demonstrated through computational experiments.Numerical results exhibit that the proposed algorithm can produce high quality solutions to the problem.

Road boundary estimation to improve vehicle detection and tracking in UAV video

Video processing is one challenge in collecting vehicle trajectories from unmanned aerial vehicle(UAV) and road boundary estimation is one way to improve the video processing algorithms. However, current methods do not work well for low volume road, which is not well-marked and with noises such as vehicle tracks. A fusion-based method termed Dempster-Shafer-based road detection(DSRD) is proposed to address this issue. This method detects road boundary by combining multiple information sources using Dempster-Shafer theory(DST). In order to test the performance of the proposed method, two field experiments were conducted, one of which was on a highway partially covered by snow and another was on a dense traffic highway. The results show that DSRD is robust and accurate, whose detection rates are 100% and 99.8% compared with manual detection results. Then, DSRD is adopted to improve UAV video processing algorithm, and the vehicle detection and tracking rate are improved by 2.7% and 5.5%,respectively. Also, the computation time has decreased by 5% and 8.3% for two experiments, respectively.

Advanced flow measurement and active flow control of aircraft with MEMS

Advanced flow measurement and active flow control need the development of new type devices and systems.Micro-electro-mechanical systems(MEMS) technologies become the important and feasible approach for micro transducers fabrication.This paper introduces research works of MEMS/NEMS Lab in flow measurement sensors and active flow control actuators.Micro sensors include the flexible thermal sensor array,capacitive shear stress sensor and high sensitivity pressure sensor.Micro actuators are the balloon actuator and synthetic jet actuator respectively.Through wind tunnel test,these micro transducers achieve the goals of shear stress and pressure distribution measurement,boundary layer separation control,lift enhancement,etc.And unmanned aerial vehicle(UAV) flight test verifies the ability of maneuver control of micro actuator.In the future work,micro sensor and actuator can be combined into a closed-loop control system to construct aerodynamic smart skin system for aircraft.

Research on the Unmanned Aerial Vehicle Adaptive Control System based on Fuzzy Control and Chaos Mechanics

In this paper, we conduct research on the unmanned aerial vehicle adaptive control system based on fuzzy control and chaosmechanics. Four rotor aircraft is a kind of nonlinear systems with underactuated, strong coupling characteristic. Although in existing research,through the design of the control algorithm effectively inhibits both for fl ight control effect, but not fundamentally eliminate the effect of aircraft.Dynamic model of unmanned helicopter fl ight control system design is very approximate, need to gradually improve the modeling accuracy, soas to get the exact autonomous fl ight control, so you need to practice constantly required to modeling in the fl ight information, so the unmannedhelicopter fl ight control system to have the ability to retrieve information modeling. This paper proposes the new idea on the issues that will bemeaningful.