第十三届自动化科学与电气工程学院第三场宣讲会计划书

发布时间:2016-11-08

第十三届自动化科学与电气工程学院第三场宣讲会计划书  

时间:2016年11月9日星期三晚上7:00-9:00

地点:新主楼B106

宣讲题目:Sliding mode

disturbance observer based high precision control of a servo gantry

宣讲人:张扬名

宣讲人简介:北京航空航天大学自动化与电气工程学院,控制理论与控制工程博士研究生。

宣讲内容简介:

This paper investigates the tracking control

problems of a voice coil motor (VCM) actuated servo gantry system. A

novel sliding mode disturbance observer based control algorithm is

proposed such that model uncertainties and various disturbances can be

eliminated simultaneously. In the proposed control architecture, the sliding

mode observer is introduced to estimate the total disturbances, while the fast

terminal sliding mode (TSM) control technique is adopted such that the tracking

error converges to zero in a finite time. Particularly, the singularity problem

in the conventional TSM systems is avoided by switching the sliding mode

function between two different terminal sliding structures. The finite-time

stability of the whole closed-loop system is also proved. Finally, numerical

simulations and real time experiments demonstrate excellent tracking

performance of the proposed criteria.

宣讲题目:基于实时仿真的云制造服务动态调度方法研究

宣讲人:周龙飞

宣讲人简介:北京航空航天大学自动化科学与电气工程学院,仿真中心博士研究生。

宣讲内容简介:

云制造是一种面向服务的网络化制造新模式。通过汇聚分布在不同企业的制造资源并将其服务化,云制造能够向各类用户提供按需制造服务。调度(服务调度或任务调度)是实现云制造按需制造服务的关键手段,也是云制造的一个重要研究问题。云制造系统具有高度的动态性和不确定性,这对云制造调度提出了巨大的挑战。本研究采用基于实时仿真的方法解决云制造环境下的服务动态调度问题,从工程的角度为提高云制造系统的鲁棒性提供了一种可行的方法。

宣讲题目:A novel Feed-forward segmented digital AGC algorithm with stable

PAR for 4G-LTE digital

radio over fibre system

宣讲人:王杰

宣讲人简介:北京航空航天大学自动化与电气工程学院,检测技术与自动化装置专业博士研究生。

宣讲内容简介:

With the evolution of mobile communications, there is an

increasing demand for low cost and highly efficient network infrastructures to

deliver wideband wireless services. This is particularly challenging for the

last mile where the bottleneck of supporting 4G or 5G mobile capacity is. How

to transmit multi-channel LTE signal with low cost and high efficiency has

become a problem. This paper describes a novel feed-forward segmented digital automatic

gain control (FSD-AGC) algorithm for 4G-LTE digital radio over fibre (DRoF)

system and experimentally demonstrates the algorithm using DRoF platform based

on real-time field programmable gate arrays (FPGAs). The FSD-AGC algorithm is

able to update power status accurately with a short delay (about 100 samples)

and adjust the gain precisely by one step in order to make full use of ADC

quantisation bit width and avoid oversaturation by maintaining a stable peak to

average ratio (PAR). Compared with conventional solution, proposed algorithm

has shown significant improvement on the dynamic range of the 4G-LTE radio

frequency (RF) signal in the DRoF system. A 20 dB improvement in system dynamic

range is demonstrated experimentally in the DRoF platform. In addition, the

mean error vector magnitude (EVM) is confined within less than 1.6%.This is a

major step forward for future commercialisation of the DRoF system for 4G and

5G network deployments.

宣讲题目:基于RH-MIQP的无人机在线轨迹规划

宣讲人:田原原

宣讲人简介:北京航空航天大学自动化与电气工程学院,控制理论与控制工程硕士研究生。

宣讲内容简介:

四旋翼无人机是最近流行起来的一款旋翼型无人机,包括四个螺旋桨,相邻的桨转向相反,分别固定于机身的四个角。由于这种特别的结构,单个或编队四旋翼越来越多地用于监管、搜索、救援和移动传感网络等。在很多情况下,描述运动规划生成飞行轨迹是必需的。本文首先推导四旋翼无人机的非线性模型并在悬停状态线性化,接着采用Bezier曲线将状态、控制输入及性能指标等参数化。应用Galerkin Projection方法将状态方程约束转化为代数约束,并引入整数变量,建立避障约束,构建混合整数二次规划问题。在此基础上,采用滚动时域策略,以便将实时环境信息纳入计算,滚动生成避障轨迹。