Efficiency optimized fuel supply strategy of aircraft engine based on air-fuel ratio control

Accurate fuel injection control of aircraft engine can optimize the energy efficiency of UAV power system while meeting the propeller speed requirement. Traditional injection control method such as open-loop calibration causes instability of fuel supply which brings the risk of power loss of UAV. Considering that the closed-loop control of AFR can ensure a stable fuel feeding, this paper proposes an AFR control based fuel supply strategy in order to improve the efficiency of fuel-powered UAV while obtaining the required engine speed. According to the optimum fuel injection results, we implement fuzzy-PID method to control the set AFR in different situations. Through simulation and experiment studies, the results indicate that, to begin with, the calibrated mathematical model of the aircraft engine is effective. Next, this fuel supply strategy based on AFR control can normally realize the engine speed regulation, and the applied control algorithm can eliminate the overshoot of AFR throughout all the working progress. What is more,the fuel supply strategy can averagely shorten the response time of the engine speed by about two seconds. In addition, compared with the open-loop calibration, in this work the power efficiency is improved by 9% to 33%. Last but not the least, the endurance can be improved by 30 min with a normal engine speed. This paper can be a reference for the optimization of UAV aircraft engine.     

A heuristic cabin-type component alignment method based on multi-source data fusion

In cabin-type component alignment, digital measurement technology is usually adopted to provide guidance for assembly. Depending on the system of measurement, the alignment process can be divided into measurement-assisted assembly (MAA) and force-driven assembly. In MAA, relative pose between components is directly measured to guide assembly, while in force-driven assembly, only contact state can be recognized according to measured six-dimensional force and torque (6D F/T) and the process is completed based on preset assembly strategy. Aiming to improve the efficiency of force-driven cabin-type component alignment, this paper proposed a heuristic alignment method based on multi-source data fusion. In this method, measured 6D F/T, pose data and geometric information of components are fused to calculate the relative pose between components and guide the movement of pose adjustment platform. Among these data types, pose data and measured 6D F/T are combined as data set. To collect the data sets needed for data fusion, dynamic gravity compensation method and hybrid motion control method are designed. Then the relative pose calculation method is elaborated, which transforms collected data sets into discrete geometric elements and calculates the relative poses based on the geometric information of components. Finally, experiments are conducted in simulation environment and the results show that the proposed alignment method is feasible and effective.     

Multi-UAV coordination control by chaotic grey wolf optimization based distributed MPC with event-triggered strategy

The paper proposes a new swarm intelligence-based distributed Model Predictive Control (MPC) approach for coordination control of multiple Unmanned Aerial Vehicles (UAVs). First, a distributed MPC framework is designed and each member only shares the information with neighbors. The Chaotic Grey Wolf Optimization (CGWO) method is developed on the basis of chaotic initialization and chaotic search to solve the local Finite Horizon Optimal Control Problem (FHOCP). Then, the distributed cost function is designed and integrated into each FHOCP to achieve multi-UAV formation control and trajectory tracking with no-fly zone constraint. Further, an event-triggered strategy is proposed to reduce the computational burden for the distributed MPC approach, which considers the predicted state errors and the convergence of cost function. Simulation results show that the CGWO-based distributed MPC approach is more computationally efficient to achieve multi-UAV coordination control than traditional method.     

直升机技术现状、趋势和发展思路

直升机具备其他飞行器无法实现的垂直起降、空中悬停和低速机动能力,能够在地形复杂的环境进行起降和低空飞行,独特的飞行特点决定了其不可替代的作用。作为军民通用的航空器,直升机在军事和民用领域具有广泛的用途,是国家综合实力的重要标志之一,直升机产业是事关国家安全、经济建设和科技发展的高科技战略产业,具有知识密集、产业关联性强、高投入、高产出、高风险、周期长的特点。本文对国内直升机技术发展现状进行了分析,指出了国内直升机技术水平与国际一流水平的差距,结合国际直升机技术发展趋势,提出了我国直升机技术的发展思路。     

创造具有自身特色的经营策略：———论云南航空公司的经营策略

阐述了在国内外航空市场的竞争压力下航空公司应采取的措施。针对过去和未来一段时期内国际航空市场的变化，结合云南航空公司的实际情况，分析了国内航线和国际航线运营状况，提出了具有其自身特色的发展战略和经营策略。     

中小企业技术创新理念与模式的思考

中小企业成功的关键在于它们拥有独到的技术优势，而这些技术优势是企业通过不断地开展技术创新取得的。然而我国中小企业的技术创新还存在诸如理念不正确、项目选择盲目和模式不恰当等问题，严重制约着中小企业的发展。文章认为，中小企业技术创新理念宜选择市场导向，技术创新项目宜选择“小生位”战略，技术创新模式宜选择合作创新。     

基于状态的机械附件维修策略

基于状态开展修理，降低故障发生率和维修成本，是航空装备修理发展方向。以外场故障和大修故检信息统计、分析为基础，研究装备损伤规律，按基于状态修理思想，结合可靠性为中心的修理决策方法，初步探索了适应现有装备条件的基于状态维修方法的应用策略。     

旅游目的地的整合营销策略探析

随着旅游市场的逐步成熟和竞争的不断加剧，旅游目的地树立正确的营销观念是获得竞争优势、占领市场的关键。旅游业的广泛性和多样性，使得目的地非常适宜进行整合营销。本文运用整合营销理论，分析旅游目的地的整合营销策略，主要分析旅游目的地形象的整合、营销组合策略的整合以及品牌信息传播的整合。     

对企业战略执行系统有效运作的思考

企业在战略运行过程中,应首先建立有效的战略执行机制,否则企业战略难以执行.所以企业在执行战略时,应考虑战略执行系统的核心问题,主要有:制定战略是企业决策层工作的核心;建立与战略相适应的组织支持系统;建立战略性人力资源管理;建立执行文化;建立好的管理机制;建立有效的情报系统;建立有效的战略评估与跟踪机制.只有这样,才能逐步建立战略执行系统,才能保障企业的战略目标的实现.