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2017 International Conference on System Science and Engineering (ICSSE)最新文献

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Design and implementation of a RBF-based PI Controller for PMSM Drives 基于rbf的永磁同步电机PI控制器的设计与实现
Pub Date : 2017-07-01 DOI: 10.1109/ICSSE.2017.8030846
Phan-Thanh Nguyen, M. Nguyen
This work presents a hardware implementation of a RBF NN (Radial Basis Function Neural Network), then use this RBF NN to design a PI controller for PMSM (Permanent Magnet Synchronous Motor) drives. In this paper, firstly, the mathematical model of PMSM drives and the architecture of the RBF NN which consists of an input layer, a hidden layer of nonlinear processing neurons with Gaussian function and an output layer are described. Secondly, a very high speed IC hardware description language (VHDL) is adopted to describe the behavior of the RBF - PI Controller, and the data type applies 32bit length Q24 format and 2's complement operation. Additionally, finite state machine (FSM) is applied for reducing the hardware resource usage. Thirdly, to verify the correctness of the designed VHDL code for computing the RBF-PI, based on electronic design automation (EDA) simulator link, a co-simulation work is constructed by Simulink and ModelSim which the input stimuli and output responses are run in Simulink and the computation of the RBF-PI is performed in ModelSim. Finally, some simulation results validate the effectiveness of the proposed RBF-based PI (RBF-PI) Controller for PMSM Drives.
本文提出了一种径向基函数神经网络的硬件实现,然后利用该RBF神经网络设计了永磁同步电机驱动的PI控制器。本文首先描述了永磁同步电机驱动的数学模型和由输入层、高斯函数非线性处理神经元隐含层和输出层组成的RBF神经网络的结构。其次,采用非常高速的IC硬件描述语言(VHDL)来描述RBF - PI控制器的行为,数据类型采用32位长度Q24格式和2的补码运算。此外,还采用有限状态机(FSM)来减少硬件资源的使用。第三,为了验证所设计的计算RBF-PI的VHDL代码的正确性,基于EDA (electronic design automation, EDA)模拟器链接,利用Simulink和ModelSim构建了一个联合仿真工作,在Simulink中运行输入刺激和输出响应,在ModelSim中计算RBF-PI。最后,仿真结果验证了所提出的基于rbf的PI (RBF-PI)控制器在永磁同步电机驱动中的有效性。
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引用次数: 0
Tracking design with single-input CMAC based sliding mode controller 基于单输入CMAC的滑模控制器跟踪设计
Pub Date : 2017-07-01 DOI: 10.1109/ICSSE.2017.8030976
Hung-Ching Lu, Yuyi Lin
Quadrotor is a kind of multi-variable, strong coupling and nonlinear characteristics of complex systems. In order to improve the stability of four-rotor aircraft flight performance and control, a sliding mode controller is designed primarily for using Newton-Euler equations to build and simulate the mathematical model of quadrotor for location tracking in this paper. Since approximation error and uncertainties are existed in the considered system, the gain parameter values must be preset and not be easy to find. Therefore, the cerebellar model is chosen to overcome the previously encountered problems. Control law is derived through Lyapunov stability analysis to ensure the stability of the system. In view of the simulation results, it is obvious that the proposed controller has a good track performance.
四旋翼飞行器是一种具有多变量、强耦合和非线性特性的复杂系统。为了提高四旋翼飞行器飞行性能和控制的稳定性,本文主要设计了滑模控制器,利用牛顿-欧拉方程建立并仿真四旋翼飞行器的位置跟踪数学模型。由于所考虑的系统中存在近似误差和不确定性,因此增益参数值必须是预设的,且不易找到。因此,选择小脑模型来克服之前遇到的问题。通过李雅普诺夫稳定性分析导出控制律,保证系统的稳定性。仿真结果表明,所提出的控制器具有良好的跟踪性能。
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引用次数: 0
Prediction analysis of oxygen content in the water for the fish farm in southern Taiwan 台湾南部养鱼场水中氧含量预测分析
Pub Date : 2017-07-01 DOI: 10.1109/ICSSE.2017.8030951
Po-Yuan Yang, Jinn-Tsong Tsai, J. Chou
This paper is using artificial neural network (ANN) to predict oxygen content in the water for the fish farm, so that decrease times of starts of oxygen suppliers. In Southern Taiwan, aquaculture is one of major economic industries. Especially, the important issue is how to effectively monitor the oxygen content in the water, so that the fish will not die and start the oxygen suppliers for the minimum of times. According to experience of aquaculture practitioners, the impact factors of oxygen content in the water include temperature, pH, conductivity, salinity and last monitored oxygen content. And ANN is one of frequently used tools about analysis and prediction. In ANN, there are three parts, including input layer, hidden layer and output layer. Input layer and output layer are given by users and build relations between them by hidden layer. In this paper, data provided by Ecotek company divided into training data and testing data. The experimental process is as following: corrected data, set parameters, separated into training data and testing data, and executed neural network. From the experimental result, although it is not possible to achieve a complete positive correlation, but the oxygen content can be kept between 3 and 7 ppm.
本文采用人工神经网络(ANN)对养鱼场水体氧含量进行预测,以减少供氧设备的启动次数。在台湾南部,水产养殖是主要的经济产业之一。特别是,重要的问题是如何有效地监测水中的氧含量,使鱼不会死亡,并启动氧气供应最少的时间。根据养殖从业者的经验,影响水体氧含量的因素包括温度、pH、电导率、盐度和上次监测的氧含量。人工神经网络是常用的分析和预测工具之一。在人工神经网络中,有三个部分,包括输入层、隐藏层和输出层。输入层和输出层由用户给出,并通过隐藏层建立它们之间的关系。在本文中,Ecotek公司提供的数据分为培训数据和测试数据。实验过程如下:校正数据,设置参数,分离训练数据和测试数据,执行神经网络。从实验结果来看,虽然不可能实现完全正相关,但氧含量可以保持在3 ~ 7ppm之间。
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引用次数: 1
Implementation of media player simulator using Kinect sensors 使用Kinect传感器实现媒体播放器模拟器
Pub Date : 2017-07-01 DOI: 10.1109/ICSSE.2017.8030866
Wen-Shyong Yu, K. Huang
This paper proposes evaluation and implementation for media player system by hand gestures using Kinect sensor. The hardware consists of the Kinect for Windows with infra and color camera sensors to capture the depth and plane images, respectively, while the control program is written by VC#. When users execute the control program, the functions of the Media player system can be easily controlled by some simple hand gesture motions through the Kinect detection sensors as practically to manipulate the push-bottoms of the media player system by mouse or keyboard on the screen. By capturing the hand waving speeds, the data to calculate the average hand movement speed are used to setup the speed threshold as the default in our system. In experiments, we analyze the hands' movement speeds sensing by different ages of users to obtain the hand moving average speeds and correct the threshold speed of the posture recognition on Kinect for the media player system in Windows 7 operation system.
本文提出了一种基于Kinect传感器的手势媒体播放系统的评估与实现方法。硬件部分由Windows Kinect组成,采用红外和彩色摄像头传感器分别捕捉深度和平面图像,控制程序由vc#编写。当用户执行控制程序时,通过Kinect检测传感器,可以很容易地通过一些简单的手势动作来控制媒体播放器系统的功能,实际上是通过屏幕上的鼠标或键盘来操纵媒体播放器系统的按键。通过捕捉手的挥动速度,计算平均手的移动速度的数据被用来设置速度阈值作为我们系统的默认值。在实验中,我们分析了不同年龄用户的手部运动速度感知,得到了Windows 7操作系统下媒体播放器系统在Kinect上的手部运动平均速度,并修正了姿态识别的阈值速度。
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引用次数: 3
A fuzzy control for obstacle avoidance implemented in the wheel robot with FPGA 用FPGA实现了轮式机器人避障模糊控制
Pub Date : 2017-07-01 DOI: 10.1109/ICSSE.2017.8030844
Zheng-Kai Chiu, Pei-Jun Lee
This paper designs and fabricates an intelligent wheel robot which can walking and avoid obstacles autonomously. The obstacle avoidance is achieved by using fuzzy control technique. In order to turn angle rapidly for the wheel robot, we adopt three distance value and turning angle in last state between the obstacle and robot to design the fuzzy sets. According to the results of the simulation and practical experiment, the path of obstacle avoidance by using fuzzy control is much smoother than that by using intuitive control. All the above motion controls are implemented by Altera DE2-115 FPGA board with some useful sensors.
本文设计并制造了一种能够自主行走和避障的智能轮式机器人。采用模糊控制技术实现避障。为了使轮式机器人快速转弯,采用障碍物与机器人之间的三个距离值和最后状态的转弯角度来设计模糊集。仿真和实际实验结果表明,采用模糊控制的避障路径比采用直观控制的避障路径平滑得多。上述所有运动控制都是由Altera DE2-115 FPGA板和一些有用的传感器实现的。
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引用次数: 1
Detecting critical nodes for network vulnerability assessment under cascading failures 检测关键节点,用于级联故障下的网络脆弱性评估
Pub Date : 2017-07-01 DOI: 10.1109/ICSSE.2017.8030933
Shikai Hu, Jung-Te Chou, Bing-Hong Liu, Shao-I Chu, Thinagaran Perumal, Van-Trung Pham
Recently, the major challenge in the robustness evaluation of networks is to enhance the detecting the most critical nodes. Many researchers have studied the problem of detecting the list of attacked nodes, which are the number of failed nodes is maximum, in order to protect these nodes. However, there is no any previous works to consider the cost of attacks that the budget is limited is very practical in the real attacks. In this paper, we study the problem of attacking nodes in networks to maximize the total profits of attacked nodes, where the total cost of attacks is remained under the budget. In addition, an algorithm is proposed to solve problem of attacking nodes in the network with limited budget while guaranteeing the high total profits of attacked nodes. Simulation results show that the proposed method provides good performance.
目前,网络鲁棒性评估面临的主要挑战是如何增强对最关键节点的检测能力。为了保护这些节点,许多研究人员研究了检测失效节点数量最大的受攻击节点列表问题。但是,以前没有任何著作考虑攻击成本,认为预算有限在实际攻击中是非常实用的。在本文中,我们研究了网络中攻击节点的问题,以使被攻击节点的总利润最大化,并且攻击的总成本保持在预算之内。此外,提出了一种算法,在保证被攻击节点总利润较高的情况下,以有限的预算解决网络中攻击节点的问题。仿真结果表明,该方法具有良好的性能。
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引用次数: 0
Constructing a new algorithm for high average utility Itemsets mining 构建一种高平均效用项集挖掘新算法
Pub Date : 2017-07-01 DOI: 10.1109/ICSSE.2017.8030880
N. Phuong, Nguyen Duc Duy
In this paper, we propose a mining algorithm for average-utility itemsets (EHAUI-Tree) based on improving HUUI-Tree algorithm to apply for adding new database transactions without restart. At first, the value of updated data is calculated. Then, itemsets which make changes will be calculated and updated depending upon the updated data value and the previous High Average-utility Upper-bound (HAUUB). This algorithm uses the downward closure property of an average-utility itemset and an index table structure. In addition, a data structure for itemsets is proposed to minimize memory usage and maximize calculating efficiency. The experimental result shows that EHAUI-Tree is more effective than HAUI-Tree when adding new transactions for the previous database. The method applies the downward closure properties of HAUUB Itemset and Index Table. Furthermore, the Bit-Array-structure itemset is also proposed to reduce using memory and calculate more effectively. The result of this algorithm is better than HAUI-Tree on updating new transactions.
本文提出了一种基于改进HUUI-Tree算法的平均效用项集挖掘算法(EHAUI-Tree),用于在不重启的情况下增加新的数据库事务。首先,计算更新后的数据值。然后,将根据更新的数据值和以前的高平均效用上限(HAUUB)计算和更新进行更改的项集。该算法使用平均实用程序项集的向下闭包属性和索引表结构。此外,提出了一种项目集的数据结构,使内存占用最小化,计算效率最大化。实验结果表明,EHAUI-Tree在为旧数据库添加新事务时比HAUI-Tree更有效。该方法应用HAUUB项目集和索引表的向下闭包属性。此外,还提出了位数组结构的项集,以减少内存的使用,提高计算效率。该算法在更新新事务方面优于hai - tree算法。
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引用次数: 3
State and disturbance observer-based controller synthesis for polynomial system 基于状态和扰动观测器的多项式系统控制器综合
Pub Date : 2017-07-01 DOI: 10.1109/ICSSE.2017.8030839
Van‐Phong Vu, Wen-June Wang
This paper proposes a new method for designing an observer-based controller for the polynomial system with the existence of the disturbances. A new form of the observer is proposed to estimate both unavailable state variables and disturbances simultaneously. In addition, in previous studies, the disturbances must be bounded, its derivation is equal to zero, or assume to be generated by an exogenous system. However, in this paper, the arbitrary disturbances are considered and they do not need to satisfy any constraint. Based on the information of unknown states and disturbances from observer, a controller is synthesized to eliminate the effects of disturbances and stabilize this system. On the basis of SOS technique and Lyapunov theory, the conditions for observer-based controller design are derived. Finally, an illustrative example is presented to prove the effectiveness of the proposed method.
针对存在扰动的多项式系统,提出了一种基于观测器的控制器设计方法。提出了一种新的观测器形式,可以同时估计不可用状态变量和干扰。此外,在以往的研究中,扰动必须是有界的,其导数等于零,或者假设是由外源系统产生的。然而,本文考虑了任意扰动,不需要满足任何约束。基于未知状态信息和观测器的干扰,合成了一种控制器来消除干扰的影响,实现系统的稳定。基于SOS技术和李亚普诺夫理论,推导了基于观测器的控制器设计的条件。最后,通过一个算例验证了该方法的有效性。
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引用次数: 0
Design and development of service robot based human - robot interaction (HRI) 基于人机交互(HRI)的服务机器人设计与开发
Pub Date : 2017-07-01 DOI: 10.1109/ICSSE.2017.8030884
Kittiwad Kantharak, Chaiporn Somboonchai, Nguyen Trong Tuan, Nguyen Truong Thinh
In this paper, the service robot named “BlackBot” as receptionist robot is descried, that is a small three-wheeled mobile platform with a differential drive, which was controlled by a mini PC. The BalckBot could sense its surroundings with the aid of various electronic sensors while mechanical actuators were used to move it around. Robot's behavior was determined by the program, which was loaded to the microcontrollers and PC. The experiment results demonstrated the feasibility and advantages of this predictive control on the trajectory tracking of a mobile robot. The service robot is designed to assist humans with reception tasks. The robot will interact closely with a group of humans in their everyday environment. This means that it is essential to create models for natural and intuitive communication between humans and robots. In this paper, the service robot named “BlackBot” as receptionist robot is descried, that is a small three-wheeled mobile platform with a differential drive, which was controlled by a mini PC. The BlackBot could sense its surroundings with the ai d of various electronic se nsors while mechanical actuators were used to move it around. Robot's behavior was determined by the program, which was loaded to the microcontrollers and PC. The experiment results demonstrated the feasibility and advantages of this predictive control on the trajectory tracking of a mobile robot. The service robot is designed to assist humans with reception tasks. The robot will interact closely with a group of humans in their everyday environment. This means that it is essential to create models for natural and intuitive communication between humans and robots.
本文描述了一种名为“BlackBot”的服务机器人作为前台机器人,它是一个带有差动驱动的小型三轮移动平台,由一台微型PC机控制。BalckBot可以在各种电子传感器的帮助下感知周围环境,而机械驱动器则用来移动它。机器人的行为由程序决定,程序被加载到单片机和PC机上。实验结果证明了该预测控制方法在移动机器人轨迹跟踪中的可行性和优越性。服务机器人的设计目的是协助人类完成接待任务。机器人将在日常环境中与一群人密切互动。这意味着为人类和机器人之间的自然和直观的交流创建模型是必不可少的。本文描述了一种名为“BlackBot”的服务机器人作为前台机器人,它是一个带有差动驱动的小型三轮移动平台,由一台微型PC机控制。BlackBot可以通过各种电子传感器感知周围环境,而机械驱动器则用来移动它。机器人的行为由程序决定,程序被加载到单片机和PC机上。实验结果证明了该预测控制方法在移动机器人轨迹跟踪中的可行性和优越性。服务机器人的设计目的是协助人类完成接待任务。机器人将在日常环境中与一群人密切互动。这意味着为人类和机器人之间的自然和直观的交流创建模型是必不可少的。
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引用次数: 10
Pulsed cooling control for improving part warpage in injection molding process 脉冲冷却控制在注射成型过程中改善零件翘曲
Pub Date : 2017-07-01 DOI: 10.1109/ICSSE.2017.8030903
T. Do, P. S. Minh
In this study, the mold operation fluid will be controlled for observing the cooling efficiency of conventional cooling and pulsed cooling. The cooling techniques will be compared under varying mold temperature, coolant temperature, melt temperature, and flow rate. A mold structure was built using stainless steel 420. The cavity plate contains two cavities. Each cavity will be used for one type of part thickness. Results show that by appropriately controlling the fluid in pulsed cooling, the cooling rate can be improved from 0.552 °C/s to 0.755 °C/s and the warpage can be reduced by 20%. Moreover, as compared with conventional cooling, pulsed cooling can reduce warpage by 20% because pulsed cooling can maintain a stable heating/cooling temperature history and offer sufficient cooling to reduce warpage.
在本研究中,控制模具操作液,观察常规冷却和脉冲冷却的冷却效率。冷却技术将在不同的模具温度、冷却剂温度、熔体温度和流速下进行比较。模具结构采用不锈钢420。空腔板包含两个空腔。每个腔将用于一种类型的零件厚度。结果表明,在脉冲冷却过程中适当控制流体,可将冷却速率从0.552℃/s提高到0.755℃/s,使翘曲量降低20%。此外,与传统冷却相比,脉冲冷却可以减少20%的翘曲,因为脉冲冷却可以保持稳定的加热/冷却温度历史,并提供足够的冷却来减少翘曲。
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引用次数: 0
期刊
2017 International Conference on System Science and Engineering (ICSSE)
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