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2011 9th World Congress on Intelligent Control and Automation最新文献

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Path planning for robot fish in water-polo game: Tangent circle method 水球运动中机器鱼的路径规划:切线圆法
Pub Date : 2011-06-21 DOI: 10.1109/WCICA.2011.5970610
Yongnan Jia, G. Xie, Long Wang
Like the terrestrial robots playing football, fishlike robots can play polo game in the water. The accurate trajectory control of autonomous robot fish based on local vision information plays an important role in the game. However, path planning approaches for fishlike robots were lacking in the literature. Here, we develop a tangent circle method, which is based on its inherent kinematic constraints, to plan an executable path for the robot fish. Two kinds of tangent circles are defined to represent the motion tendencies of robot fish, and are drawn accurately by control parameters. By means of the combination of tangent circles and their external or internal common tangent, the robot fish can accomplish a path from an initial pose to a final pose, at which the fish can forward push the ball to the goal. Furthermore, experimental results validate the effectiveness of this method.
像陆地机器人踢足球一样,鱼状机器人可以在水中打马球。基于局部视觉信息的自主机器鱼的精确轨迹控制在博弈中起着重要的作用。然而,文献中缺乏鱼状机器人的路径规划方法。在此,我们提出了一种基于其固有运动学约束的切线圆法来规划机器鱼的可执行路径。定义了两种切线圆来表示机器鱼的运动趋势,并通过控制参数精确绘制。通过切线圆及其内外共切线的组合,机器鱼可以完成一个从初始姿态到最终姿态的路径,在这个路径上,机器鱼可以将球向前推进到目标。实验结果验证了该方法的有效性。
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引用次数: 3
Research on the construction of artificial power systems 人工电力系统建设研究
Pub Date : 2011-06-21 DOI: 10.1109/WCICA.2011.5970734
Xisong Dong, Gang-Yu Xiong, Feiyue Wang, T. Nyberg, P. Hamalainen
With the increasing complexity of modern power system, the conventional analytical methods and simulation systems, which are based on reductionism, can't provide sufficient guidance for its operation and management anymore. ACP theory which is based on holism and complex system theory, mainly consists of artificial systems (A), computing experiments (C) and parallel execution (P), has its specific advantages in the research on power grid. In this article, ACP method is introduced to build up artificial power system by using multi-agent complex network models. With the help of the artificial power system, actual power system's control, scheduling, optimization and management can be improved further by providing theoretical guidance and technical support for the rolling optimizations in normal situations, and emergency management in abnormal situations. As an application case study, the artificial power system constructed with actual data from north China power grid is applied for computing experiment's analysis under different attacks. The same way, the artificial power system can also provide theoretical guidance and practical support for smart grid research.
随着现代电力系统的日益复杂,传统的基于还原论的分析方法和仿真系统已经不能为电力系统的运行和管理提供足够的指导。ACP理论以整体论和复杂系统理论为基础,主要由人工系统(A)、计算实验(C)和并行执行(P)三部分组成,在电网研究中具有独特的优势。本文引入ACP方法,利用多智能体复杂网络模型构建人工电力系统。借助人工电力系统,可以进一步提高实际电力系统的控制、调度、优化和管理水平,为正常情况下的滚动优化和异常情况下的应急管理提供理论指导和技术支持。以华北电网实际数据构建的人工电力系统为例,进行了不同攻击下的计算实验分析。同样,人工电力系统也可以为智能电网的研究提供理论指导和实践支持。
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引用次数: 2
An improvement on the keypoint detection method of SIFT for hardware computation 基于硬件计算的SIFT关键点检测方法改进
Pub Date : 2011-06-21 DOI: 10.1109/WCICA.2011.5970631
Han Xiao, Kui Yuan, Wenhao He
In order to achieve real-time detection of SIFT keypoints through hardware computation on FPGA, the original algorithm was redesigned to accommodate the parallel computation and pipelined structure of hardware. The computation accuracy of fixed-point number is improved by the new scheme, while the computation amount of the whole algorithm is greatly reduced and hardware cost is saved. In the aspect of performance, the new scheme is as robust to image noise as the original algorithm, while the scale invariance of keypoints has been improved dramatically.
为了在FPGA上通过硬件计算实现SIFT关键点的实时检测,对原有算法进行了重新设计,以适应硬件的并行计算和流水线结构。新方案提高了定点数的计算精度,同时大大减少了整个算法的运算量,节省了硬件成本。在性能方面,新方案对图像噪声的鲁棒性与原算法相当,同时关键点的尺度不变性得到了显著提高。
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引用次数: 5
A data gathering algorithm based on swarm intelligence and load balancing strategy for mobile sink 一种基于群智能和负载均衡策略的移动sink数据采集算法
Pub Date : 2011-06-21 DOI: 10.1109/WCICA.2011.5970666
Yongquan Chen, Yunjian Tang, Guoqing Xu, Huihuan Qian, Yangsheng Xu
In this paper, we introduce a data gathering algorithm for mobile sink in WSN system, which is based on the swarm intelligence and load balancing strategy, called SIDG-MS algorithm. The preying behaviour from swarm intelligence shows that individual could find food in swarm territorial. Each node in WSN system has limited calculation ability, memory space, energy and wireless transmission range. This action is similar with the individual of swarm intelligence. This paper focuses on the concept and elaboration of the SIDG-MS and the load balancing strategy. Experimental results validate the effectiveness of this approach. We analysis and demonstrate the effectiveness of the proposed methods over other existed methods, and defined some future work.
本文介绍了一种基于群智能和负载均衡策略的无线传感器网络移动sink数据采集算法,即SIDG-MS算法。群体智能的捕食行为表明个体可以在群体领地内寻找食物。WSN系统中每个节点的计算能力、存储空间、能量和无线传输范围都是有限的。这种行为类似于群体智能的个体。本文重点介绍了SIDG-MS和负载均衡策略的概念和阐述。实验结果验证了该方法的有效性。我们分析和论证了所提出的方法与其他现有方法的有效性,并确定了一些未来的工作。
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引用次数: 7
Self-growing network based extraction of feasible motion region's knowledge 基于自生长网络的可行运动区域知识提取
Pub Date : 2011-06-21 DOI: 10.1109/WCICA.2011.5970580
Chaoliang Zhong, Shirong Liu, Xuena Qiu
Environmental map cognition includes two issues on the map knowledge extraction and comprehension. For the environmental comprehension of intelligent robot, an extraction method of the feasible motion area for mobile robot is proposed based on a self-growing network. Using the growth characteristics of Growing Neural Gas (GNG) algorithm, this method can abstracts the holistic knowledge of the surrounding environment by adding new node of topology network and builds an environmental map in which robot can easily understand, autonomously plan and make a strategic decision. The simulations and physical experiments verify the feasibility and effectiveness of the proposed method.
环境地图认知包括地图知识的提取和理解两个方面。针对智能机器人的环境理解问题,提出了一种基于自生长网络的移动机器人可行运动区域提取方法。该方法利用生长神经气体(Growing Neural Gas, GNG)算法的生长特性,通过增加拓扑网络的新节点,抽象出对周围环境的整体知识,构建出机器人易于理解、自主规划和决策的环境图。仿真和物理实验验证了该方法的可行性和有效性。
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引用次数: 1
Human simulated intelligence motion control for a three-link acrobot 三连杆机器人仿人智能运动控制
Pub Date : 2011-06-21 DOI: 10.1109/WCICA.2011.5970634
Fangzheng Xue, Zhicheng Hou, Yang Hu, Chengjun Liu
A swing-up controller based on human simulated intelligence control theory is designed for three-link acrobot. According to the analysis of athletes' motion, swing-up process is divided by six sequence phases. We describe the six sequence phase by sensory-motor intelligence schema and design Bang-Bang and PD controller for every phase. With the controller, the acrobot can swing up quickly and smoothly. Simulation results show the effectiveness and feasibility of the proposed method.
设计了一种基于仿人智能控制理论的三连杆机械臂摆动控制器。根据对运动员运动的分析,将腾空过程划分为6个顺序阶段。我们用感觉-运动智能图式描述了6个序列相位,并为每个相位设计了Bang-Bang和PD控制器。有了控制器,机器人就能快速平稳地摆动起来。仿真结果表明了该方法的有效性和可行性。
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引用次数: 2
Data driven- Adaptive single neuron predictive controller based on Lyapunov approach 数据驱动-基于Lyapunov方法的自适应单神经元预测控制器
Pub Date : 2011-06-21 DOI: 10.1109/WCICA.2011.5970724
L. Jia, Luming Cao, M. Chiu
In this paper, a novel data driven-adaptive single neuron predictive controller is proposed. The self-tuning algorithm for the single neuron predictive controller is derived by a rigorous analysis based on the Lyapunov method such that the predicted tracking error convergences asymptotically. Simulation results are presented to illustrate the proposed adaptive predictive controller and a comparison with its conventional counterparts is made.
提出了一种新的数据驱动自适应单神经元预测控制器。在Lyapunov方法的基础上,推导了单神经元预测控制器的自整定算法,使预测跟踪误差渐近收敛。仿真结果说明了所提出的自适应预测控制器,并与传统的自适应预测控制器进行了比较。
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引用次数: 1
High performance motion controller design for linear piezoelectric ceramic motors 线性压电陶瓷电机的高性能运动控制器设计
Pub Date : 2011-06-21 DOI: 10.1109/WCICA.2011.5970583
Chi-Ying Lin, Xinxin Lin
This article presents a hybrid intelligent control and repetitive control design strategy for high performance motion control of linear piezoelectric ceramic motors. To compensate for the friction and hysteresis phenomenon in the piezoelectric motors, a radial basis function based neural network controller with PID controller is first applied as performance baseline for tracking periodic motion profiles. To further improve the periodic tracking performance, a discrete time repetitive controller coming from solving a particular solution of Bezout identity is then added to the feedback control system. The resultant hybrid controller consisting of neural controller, PID controller, and repetitive controller, is useful for tracking and disturbance rejection in motion control systems. The effectiveness of the proposed control strategy was verified through comparison of several tracking experiments on a linear piezoelectric ceramic motor.
本文提出了一种用于线性压电陶瓷电机高性能运动控制的智能控制与重复控制混合设计策略。为了补偿压电电机的摩擦和滞后现象,首先采用基于径向基函数的神经网络控制器和PID控制器作为性能基准来跟踪周期运动曲线。为了进一步提高周期跟踪性能,在反馈控制系统中加入一个离散时间重复控制器,该控制器来源于求解Bezout恒等式的特解。由此产生的混合控制器由神经控制器、PID控制器和重复控制器组成,可用于运动控制系统的跟踪和抗干扰。通过对线性压电陶瓷电机的跟踪实验对比,验证了所提控制策略的有效性。
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引用次数: 5
On-line monitoring for cutting tool wear reliability analysis 刀具磨损可靠性在线监测分析
Pub Date : 2011-06-21 DOI: 10.1109/WCICA.2011.5970535
Feng Ding, Lijuan Zhang, Zhengjia He
Aiming at operational reliability analysis and assessment based on condition monitoring information in this paper, a methodology of reliability modeling and assessment based on cutting tool vibration signal feature extraction using proportional hazards model is proposed. Root Mean Square and Peak of time domain index from vibration signals, which are closely related to tool wear degradation states, are selected as covariates introduced to proportional hazards model for the tool wear reliability analysis. The proposed approach shows a considerable advantage of establishing significant association relationship between the tool condition monitoring information and the life distribution of tool wear. It is appropriate to provide individual cutting tool operational reliability assessment effectively. The experimental study on the CNC lathe turning process is given to validate the effectiveness of the proposed method. The results have shown that the approach are promising and give good estimation ability of reliability for tool wear degradation states.
针对基于状态监测信息的刀具运行可靠性分析与评估,提出了一种基于比例风险模型的刀具振动信号特征提取的可靠性建模与评估方法。选取与刀具磨损退化状态密切相关的振动信号时域指标的均方根和峰值作为协变量引入到比例风险模型中,进行刀具磨损可靠性分析。该方法在刀具状态监测信息与刀具磨损寿命分布之间建立了显著的关联关系,具有显著的优越性。有效地提供单个刀具运行可靠性评估是合适的。通过对数控车床车削过程的实验研究,验证了该方法的有效性。结果表明,该方法对刀具磨损退化状态具有良好的可靠性估计能力。
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引用次数: 4
Bone cutting-through detection under imageless navigation 无图像导航下的骨切割检测
Pub Date : 2011-06-21 DOI: 10.1109/WCICA.2011.5970692
P. Yen, Y. Chu, Wei-Sheng Huang, Jing-Heng Wang, S. Hung
Robot assisted surgery can be safer than conventional counterpart. In total knee replacement, an intelligent tool with cooperative force control equipped by the proposed bone cutting through detection is advantageous to prevent from damaging surrounding soft tissue than by conventional method or computer navigation method. In this paper the developed auto-detection bone cutting through is able to achieve accurate bone cutting with only the information of cutter's motion and forces, no medical images are required. This approach can be a low cost solution to accomplish safe and accurate bone cutting to complement an imageless navigation system and results in a very effective robot-assisted surgical system.
机器人辅助手术比传统手术更安全。在全膝关节置换术中,与传统方法或计算机导航方法相比,一种具有协同力控制的智能工具,通过骨切割检测,有利于防止周围软组织的损伤。本文所开发的自动检测切骨机,只需要刀具的运动和受力信息就可以实现准确的切骨,不需要医学图像。这种方法是一种低成本的解决方案,可以实现安全和准确的骨切割,补充无图像导航系统,并形成非常有效的机器人辅助手术系统。
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引用次数: 3
期刊
2011 9th World Congress on Intelligent Control and Automation
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