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2017 7th IEEE International Conference on System Engineering and Technology (ICSET)最新文献

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Dynamic modeling using system identification and attitude control design of GaneFly flapping wings micro aerial vehicle (FWMAV) 基于系统辨识的GaneFly扑翼微型飞行器动力学建模与姿态控制设计
Pub Date : 2017-10-01 DOI: 10.1109/ICSENGT.2017.8123446
R. Benyamin, M. A. Nugroho, A. Sepri, B. Trilaksono, Agoes Moelyadi
Flapping Wings MAV (FWMAV) is the result of UAV technology development with the mechanism of flapping wings and with the dimensions of the object as small as possible. Modeling of FWMAV dynamics is needed to predict future conditions based on information from current conditions and designed control actions. Modeling of the FWMAV system is done by system identification, based on measurable data from IMU sensors. Modeling is done each with a black-box approach using the N4SID estimation, while the grey-box approach is used structure parametric, using SSEST estimation. Then a fit model of these two models is compared by plotting the Paparazzi log with the output of the system obtained in MATLAB for the same input. Then this model will be simulated on SIMULINK. The automated PID Tuning is perform to obtain PID constants to be implemented into Paparazzi software for Pitch Loop and Roll Loop.
扑翼飞行器(FWMAV)是无人机技术发展的结果,其扑翼机理和目标尺寸尽可能小。为了根据当前条件和设计的控制动作的信息预测未来的条件,需要对FWMAV动力学进行建模。基于IMU传感器的可测量数据,通过系统识别来完成FWMAV系统的建模。建模是通过使用N4SID估计的黑盒方法完成的,而灰盒方法使用结构参数,使用SSEST估计。然后,在相同输入下,通过绘制Paparazzi log和MATLAB中得到的系统输出,比较两种模型的拟合模型。然后在SIMULINK上对该模型进行仿真。执行自动PID调谐以获得PID常数,以实现到Paparazzi软件的俯仰环路和滚动环路。
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引用次数: 4
Self-tuned output scaling factor of fuzzy logic speed control of induction motor drive 感应电机驱动模糊逻辑速度控制的自调谐输出比例因子
Pub Date : 2017-10-01 DOI: 10.1109/ICSENGT.2017.8123434
N. Farah, M. Talib, Z. Ibrahim, M. Azri, Z. Rasin
The rapid advancements in induction motor drives has led to the development of robust non-linear controller such as Fuzzy Logic Controller (FLC). The proportional integral or derivative controllers (PI, PID, and PD) have been in use for induction motor drives for past decades as speed and current controller's. However, these controllers are fixed to motor parameter changes which results in decrease in performance. FLC is robust and non-linear controller which has the ability to withstand with the motor parameters variation. The conventional fuzzy speed controller depends on the speed error and the fixed scaling gains adjusted in most designs. However, this paper proposed a new self-tuned mechanism of the output scaling factor of the fuzzy speed controller which can enhance the performance of the speed and torque of the motor especially during load and parameters variation. Matlab/Simulink environment was utilized to build and design the proposed system and verify the results.
随着异步电机驱动技术的飞速发展,鲁棒非线性控制器如模糊控制器(FLC)应运而生。比例积分或导数控制器(PI, PID和PD)在过去的几十年里一直用于感应电机驱动器作为速度和电流控制器。然而,这些控制器是固定的电机参数的变化,导致性能下降。FLC是一种鲁棒非线性控制器,具有抵抗电机参数变化的能力。在大多数设计中,传统的模糊速度控制器依赖于速度误差和固定的缩放增益。然而,本文提出了一种新的模糊速度控制器输出比例因子的自整定机制,可以提高电机的速度和转矩性能,特别是在负载和参数变化时。利用Matlab/Simulink环境对所提出的系统进行了搭建和设计,并对结果进行了验证。
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引用次数: 5
Nonlinear control of autonomous underwater glider based on super-twisting sliding mode control (STSMC) 基于超扭转滑模控制(STSMC)的自主水下滑翔机非线性控制
Pub Date : 2017-10-01 DOI: 10.1109/ICSENGT.2017.8123423
M. Mat-Noh, M. Arshad, R. Mohd-Mokhtar
This paper presents the evaluation of super-twisting sliding mode control (STSMC) implementation in autonomous underwater glider (AUG). Underwater glider can be considered as an under-actuated system which is difficult to maneuver and it is also very much dependent on their operational environment. The nonlinear controller is designed based on nonlinear motion of equation for 1DOF internal movable sliding mass where the acceleration of internal movable sliding mass and the ballast pumping rate become the control inputs to the AUG. The controller is designed and tested for the glide path that is moving from −25° to 25°. The performance of the STSMC is compared to conventional sliding mode control (SMC) based on its response time specifications.
对超扭滑模控制(STSMC)在自主水下滑翔机中的实现进行了评价。水下滑翔机可以被认为是一种欠驱动系统,它的机动难度很大,而且对其运行环境有很大的依赖性。基于1自由度内活动滑动质量方程的非线性运动,设计了以内活动滑动质量加速度和压载泵送速率为控制输入的非线性控制器,并对从- 25°到25°的滑动路径进行了设计和测试。根据STSMC的响应时间指标,将其性能与传统滑模控制(SMC)进行了比较。
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引用次数: 6
Fruit fly optimization (FFO) for solving economic dispatch problem in power system 求解电力系统经济调度问题的果蝇优化算法
Pub Date : 2017-10-01 DOI: 10.1109/ICSENGT.2017.8123429
Harold Anak Geruna, N. Abdullah, Maulana Zulfikar Asril, M. Mustafa, R. Samad, Dwi Pebrianti
One of the main issues that still emerging as the most complex fundamental problems in power system operation is Economic dispatch (ED). This paper presents the application of Fruit Fly Optimization (FFO) algorithm technique for solving ED problem. The FFO algorithm is applied to minimize the cost of generating units by allocating the most optimum value of real power for a specific generating unit in a power system while operated within the limitation. The effectiveness of the proposed technique was validated on standard IEEE-26 bus Reliability Test System (RTS).
经济调度问题是电力系统运行中最复杂的基本问题之一。本文介绍了果蝇优化(FFO)算法技术在求解ED问题中的应用。FFO算法是在电力系统限制运行的情况下,为特定发电机组分配最优的实际功率值,从而使发电机组的成本最小化。在标准的IEEE-26总线可靠性测试系统(RTS)上验证了该技术的有效性。
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引用次数: 3
Multi-agent systems for decentralized control and adaptive interaction between humans and machines for industrial environments 工业环境中用于分散控制和人机自适应交互的多智能体系统
Pub Date : 2017-10-01 DOI: 10.1109/ICSENGT.2017.8123427
J. Jost, T. Kirks, Benedikt Mättig
The digitization of industrial processes in production systems and logistics reveals new concepts of control and new techniques of information technology to solve complex problems of systems to be decentralized. The Internet of Things and the so called Industry 4.0 accompanied by their definition of architecture on the one hand and multi-agent systems with their decentralized system structure to handle complex tasks and adapting to changing conditions on the other hand are not matched as of yet. Furthermore, the human worker is not yet an integrated part of these kinds of systems and may be overstrained by the vast amount of information resulting from more and more digitally available information. This paper proposes a strategy to integrate methods and architecture of IoT with cyber-physical systems and multi-agent systems. It elaborates on the processing of data and environmental conditions to provide the human worker with context-based information reduction which helps to minimize the information overload. Two use cases in the field of intralogistics which make use of the new concept are presented.
生产系统和物流中工业过程的数字化揭示了控制的新概念和信息技术的新技术,以解决分散系统的复杂问题。物联网和所谓的工业4.0,一方面伴随着其架构的定义,另一方面具有分散系统结构以处理复杂任务和适应不断变化的条件的多智能体系统,目前还不匹配。此外,人类工作者还不是这些系统的一个组成部分,可能会被越来越多的数字信息所产生的大量信息所过度紧张。本文提出了一种将物联网的方法和架构与网络物理系统和多智能体系统相结合的策略。它阐述了数据和环境条件的处理,为人类工作者提供基于上下文的信息简化,这有助于最大限度地减少信息过载。在内部物流领域提出了两个使用新概念的用例。
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引用次数: 12
Initial experiment of muscle fatigue during driving game using electromyography 用肌电图对驾驶游戏中肌肉疲劳进行初步实验
Pub Date : 2017-10-01 DOI: 10.1109/ICSENGT.2017.8123428
N. I. A. Rahman, M. Mustafa, R. Samad, N. Sulaiman, N. Abdullah, N. H. Noordin, Amran Abdul Hadi, S. Ahmad
The road accident increases each year due to increased vehicle on the road. Driver vigilance easily distracted when in a state of fatigue and sleepiness. This research proposes to use physiological measures of electromyography (EMG) signal to assess muscle fatigue during driving game obtained from biceps brachii. The experiment starts with data collection of EMG signal for 3 subjects while driving Need for Speed the Run Game for 2 hours. Then signal preprocessing is applied to remove artifact in EMG signal. Next, the EMG signal is transformed into the frequency-domain using Fast Fourier Transform (FFT). From FFT the Power Spectral Density (PSD) and Energy Spectral Density (ESD) can be obtained. Mean, median, RMS and average powers in PSD are calculated. While from the ESD, total energy was calculated. Based on results obtained (RMS = 9.7198, average power = 94.4744, mean = 6.2451 and median = 6.2456), the objective for the project is achieved. The result shows that the PSD is better used to evaluate the biceps brachii muscle fatigue compared to ESD.
由于路上车辆的增加,交通事故每年都在增加。驾驶员在疲劳和困倦的状态下,警惕性容易分散。本研究提出利用肱二头肌肌电信号的生理测量来评估驾驶运动中肌肉的疲劳程度。实验首先采集3名受试者在驾驶《极品飞车》游戏2小时时的肌电信号数据。然后对信号进行预处理,去除肌电信号中的伪影。接下来,使用快速傅里叶变换(FFT)将肌电信号转换到频域。从FFT可以得到功率谱密度(PSD)和能量谱密度(ESD)。计算PSD的均值、中位数、均方根和平均功率。而从ESD计算总能量。根据得到的结果(RMS = 9.7198,平均功率= 94.4744,平均值= 6.2451,中位数= 6.2456),实现了项目的目标。结果表明,与ESD相比,PSD能更好地评价肱二头肌疲劳。
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引用次数: 2
Evaluation of source separation using projection pursuit algorithm for computer-based auditory training system 基于投影追踪算法的计算机听觉训练系统源分离评价
Pub Date : 2017-10-01 DOI: 10.1109/ICSENGT.2017.8123436
A. Hussain, K. Chellappan, S. Z. Mukari
Difficulty of understanding speech in noise among the elderly community necessitates the need for Auditory Training which has made a renewal of interest in the last decade with the auditory training applications. This interest is perhaps spurred by advances in computer-based technology. In computer-based training, speech signals are considered as training stimuli where input speech signals need to be verified prior to training as the speech signals are mixed with noise signals in real-life acoustic environment. Computer-based Auditory Training System can be embedded with input speech verifying module. Input speech verifying module is employed with speech and noise separator simulator. This simulator needs to guarantee accurate separation of speech from noise signals. Therefore, in this research, Projection Pursuit (PP) algorithm under Blind Source Separation (BSS) method is intended to separate the speech source signals which are mixed with speech babble. This article uses Malay language based sentences which differ in word length and hence number of sample values. The experimental simulation considers two-channel random and linear mixing of speech sources and speech babble as noise signal. The aim of this study is to evaluate the performance of the anticipated PP algorithm for various sample values of speech signals which varies in time duration due to word length dissimilarity. Simulation results show that PP algorithm is feasible for source separation. As a consequence, high correlation value of r ≥ 0.99 is obtained between extracted speech signal and original speech signal for all categories of speech signals. It is further verified by the maximum nongaussianity of extracted speech signal which has high kurtosis value of 32.
老年人在噪音环境下的言语理解困难使得听觉训练成为必要,听觉训练在近十年来引起了人们对听觉训练的兴趣。这种兴趣也许是由计算机技术的进步所激发的。在基于计算机的训练中,语音信号被认为是训练刺激,在真实声学环境中,由于语音信号与噪声信号混合,输入的语音信号需要在训练前进行验证。基于计算机的听觉训练系统可以嵌入输入语音验证模块。输入语音验证模块采用语音和噪声分离模拟器。该模拟器需要保证语音和噪声信号的准确分离。因此,在本研究中,基于盲源分离(BSS)方法的投影寻踪(PP)算法旨在分离混有语音杂音的语音源信号。这篇文章使用马来语为基础的句子,不同的词的长度,因此样本值的数量。实验仿真将语音源和语音杂音的双通道随机线性混合作为噪声信号。本研究的目的是评估预期的PP算法对于由于单词长度不相似而导致时间持续变化的语音信号的各种样本值的性能。仿真结果表明,PP算法是可行的。因此,对于所有类别的语音信号,提取的语音信号与原始语音信号的相关值都很高,r≥0.99。通过提取的语音信号的最大非高斯性进一步验证,其峰度值为32。
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引用次数: 0
Integrated description of functional and non-functional requirements for automotive systems design using SysML 使用SysML对汽车系统设计的功能和非功能需求进行综合描述
Pub Date : 2017-10-01 DOI: 10.1109/ICSENGT.2017.8123415
Kristina Gruber, Jakob Huemer, A. Zimmermann, Ralph Maschotta
Modern passenger cars are no longer mechanically dominated systems; their customer value and physical behavior are greatly influenced by electric/electronic systems and software. Therefore technical and economic importance of electric and electronic functions is increasing in the automotive industry over the last few years. Today's demands on infotainment- and driver assistance systems and the ambition of realizing autonomous driving further enhance the number and complexity of electronic systems in passenger cars. As a result, new challenges emerge in automotive engineering and especially in the field of overall passenger car development. In order to handle complexity under constantly changing circumstances cross-domain requirements engineering of both mechanical and electric/electronic elements is necessary. This paper proposes a model-based approach to automotive requirements engineering for the overall passenger car development based on SysML. The SysML stereotype Requirement is extended to functional and non-functional requirements. The paper validates the advantages that include classified and graphically modeled requirements, as well as their relationships being explicitly mapped. Using an industrial example, it is demonstrated how this requirement specification manages the interactions between mechanical and electric/electronic requirements.
现代乘用车不再是机械主导的系统;他们的客户价值和物理行为受到电气/电子系统和软件的极大影响。因此,在过去几年中,电气和电子功能在汽车工业中的技术和经济重要性正在增加。当今对信息娱乐和驾驶辅助系统的需求,以及实现自动驾驶的雄心壮志,进一步提高了乘用车电子系统的数量和复杂性。因此,汽车工程特别是整体乘用车开发领域出现了新的挑战。为了在不断变化的环境下处理复杂性,机械和电气/电子元件的跨领域需求工程是必要的。提出了一种基于SysML的整车开发需求工程模型方法。SysML原型需求被扩展到功能性和非功能性需求。本文验证了包括分类和图形化建模需求,以及它们的关系被显式映射的优点。通过一个工业实例,演示了该需求规范如何管理机械和电气/电子需求之间的交互。
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引用次数: 10
Practical implementation of a syringe fluid dispenser feed rate control using PID and active force control 实际实现了一种采用PID和主动力控制的注射器分液器进给量控制
Pub Date : 2017-10-01 DOI: 10.1109/ICSENGT.2017.8123431
T. H. Hing, M. Mailah, S. Sharif
The feed flow rate of a syringe fluid dispensing system is regulated through a Proportional-Integral-Derivative (PID) and Active Force Control (AFC) control scheme that was actuated using a DC servo motor considering a real-time implementation. The focus of this study is to control the speed of a DC motor by implementing an AFC strategy in rejecting the disturbance in the system. The AFC is implemented by cascading its control loop with the outer PID controller loop to form a two degree-of-freedom (DOF) controller. The performance of the proposed PID with AFC control scheme was investigated considering experimental works. The real-time experimentation was done by utilizing the Arduino MEGA 2560 microcontroller with MATLAB/Simulink driver for the data acquisition, interface and control implementation. The results implies the robustness of the AFC-based system in controlling the feed flow rate of the fluid in the dispenser. The best performance is obtained for 100% AFC with the disturbance due to vibration almost completely compensated via the proposed scheme in comparison to the PID counterpart.
注射器液点胶系统的进料流量通过比例积分导数(PID)和主动力控制(AFC)控制方案进行调节,该控制方案使用直流伺服电机驱动,考虑了实时实现。本研究的重点是通过实施AFC策略来控制直流电机的速度,以抑制系统中的干扰。AFC通过将其控制环与外部PID控制器环级联形成二自由度控制器来实现。结合实验工作,对所提出的PID与AFC控制方案的性能进行了研究。利用Arduino MEGA 2560单片机进行实时实验,采用MATLAB/Simulink驱动程序进行数据采集、接口和控制实现。结果表明,基于afc的系统在控制分配器中流体的进料流量方面具有鲁棒性。与PID控制相比,所提出的方案几乎完全补偿了振动引起的干扰,在100% AFC下获得了最佳性能。
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引用次数: 0
Waypoint navigation of quad-rotor MAV 四旋翼MAV航路点导航
Pub Date : 2017-10-01 DOI: 10.1109/ICSENGT.2017.8123417
Goh Ming Qian, Dwi Pebrianti, Yee Woon Chun, Y. Hao, L. Bayuaji
Quad-rotor Micro Aerial Vehicle (MAV) is a multi-rotor MAV with 4 propellers which propel the MAV up to the air and move around. It has high maneuverability to move around, such as roll, pitch and yaw movements. However, line of sight and radio control effective range are the major limitation for the MAVs which significantly shorten the travel distance. Therefore, we proposed a waypoint navigation quad-rotor MAV based on PID controller in this paper. User can set mission with multiple waypoint and the PID controller to control MAV autonomously moving along the waypoint to the desired position without remotely controlled by radio control and guidance of pilot. The results show PID controller is capable to control MAV to move to the desired position with high accuracy. As the conclusion, the result of real flight experiment shows that the %OS of designed PID controller for x is 13% while y is 11.89% and z is 2.34%. Meanwhile, steady-state error for all axis are 0%. This shows that the performance of PID controller is satisfied. Hence, the quadrotor MAV could move to the desired location via waypoint navigation without guidance of pilot.
四旋翼微型飞行器(MAV)是一种多旋翼微型飞行器,有4个螺旋桨,推动微型飞行器上升到空中并四处移动。它具有很高的机动性,如滚转、俯仰和偏航运动。然而,瞄准线和无线电控制有效距离是MAVs的主要限制,大大缩短了飞行距离。因此,本文提出了一种基于PID控制器的航点导航四旋翼微型飞行器。用户可以设置多个航路点的任务,PID控制器可以控制MAV沿着航路点自主移动到所需位置,无需遥控无线电控制和飞行员引导。结果表明,PID控制器能够以较高的精度控制机器人运动到期望的位置。综上所述,实际飞行实验结果表明,设计的PID控制器在x为13%,y为11.89%,z为2.34%。同时,各轴的稳态误差均为0%。这表明PID控制器的性能令人满意。因此,四旋翼MAV可以在没有飞行员引导的情况下通过航路点导航移动到所需的位置。
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引用次数: 8
期刊
2017 7th IEEE International Conference on System Engineering and Technology (ICSET)
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