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2013 9th Asian Control Conference (ASCC)最新文献

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Prediction of building lighting energy consumption based on support vector regression 基于支持向量回归的建筑照明能耗预测
Pub Date : 2013-06-23 DOI: 10.1109/ASCC.2013.6606376
Dandan Liu, Qijun Chen
Prediction of energy consumption is an important task in energy conservation. Due to support vector regression has good performance in dealing with non-linear data regression problem, in recent years it often was used to predict building energy consumption. Based on the historical data we conclude the relationship between lighting energy consumption and its influencing factors is non-linear. To develop accurate prediction model of lighting energy consumption, the support vector regression with radial basis function was applied. The forecast results indicate that the prediction accuracy of support vector regression is higher than neural networks. The prediction model can forecast the building hourly energy consumption and assess the impact of office building energy management plans.
能源消耗预测是节能领域的一项重要工作。由于支持向量回归在处理非线性数据回归问题方面具有良好的性能,近年来常被用于建筑能耗预测。根据历史数据,得出了照明能耗与其影响因素之间的非线性关系。为了建立准确的照明能耗预测模型,采用径向基支持向量回归方法。预测结果表明,支持向量回归的预测精度高于神经网络。该预测模型可以对办公楼小时能耗进行预测,并对办公楼能源管理方案的影响进行评估。
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引用次数: 33
Preliminary feasibility studies of real-time substructuring control strategies 实时子结构控制策略的初步可行性研究
Pub Date : 2013-06-23 DOI: 10.1109/ASCC.2013.6606113
C. Y. Chen, W. Hxiao, Y. C. Chen, J. Tu
Dynamic substructuring is a hybrid testing strategy, which enables full-size, critical components of an entire engineering system to be physically tested, whilst the remaining parts are simulated numerically. Successful tests require a robust controller to compensate for unwanted dynamics introduced by supplemental actuators within the physical substructure and to achieve synchronized responses of the numerical and physical parts in real-time. The aim of this feasibility study tries to identify the relative strength and weakness of three types of substructuring control strategy in literature, including (i) emulated-system-based (ii) numerical-substructure-based, and (iii) output-based controllers. The first two controllers are synthesized via conventional dynamics-based approaches, while the third using forward-prediction and curve-fitting concepts is classified as a geometry-based strategy. A practical substructuring example using a shaking-table system is presented for control comparisons. In the presence of uncertainties with the actuators or specimens, simulation studies show that these controllers exhibit distinct robustness in different cases.
动态子结构是一种混合测试策略,可以对整个工程系统的全尺寸关键部件进行物理测试,同时对其余部件进行数值模拟。成功的测试需要一个鲁棒控制器来补偿物理子结构中补充执行器引入的不必要的动力学,并实时实现数值和物理部分的同步响应。本可行性研究的目的是试图确定文献中三种类型的子结构控制策略的相对优缺点,包括(i)基于仿真系统的(ii)基于数字子结构的和(iii)基于输出的控制器。前两个控制器是通过传统的基于动力学的方法合成的,而第三个使用前向预测和曲线拟合的概念被归类为基于几何的策略。给出了一个振动台系统的子结构实例,用于控制比较。在作动器或试样存在不确定性的情况下,仿真研究表明,这些控制器在不同情况下具有明显的鲁棒性。
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引用次数: 1
Quantized-data consensus of second-order multi-agent systems with directed topology 有向拓扑二阶多智能体系统的量化数据一致性
Pub Date : 2013-06-23 DOI: 10.1109/ASCC.2013.6606094
Chao Wang, Weiwei Mao, Xiaobo Li, Weisheng Chen, Jing Li
This paper studies the consensus problem for linear discrete-time second-order multi-agent system with quantized data under directed topologies. The necessary and sufficient conditions for consensus are given by using a quantized consensus protocol via positions and velocities. Also, the final consensus value is obtained if the design parameters satisfy the conditions of the quantized consensus and the length of quantization interval tends to zero. Furthermore, the observer-based quantized consensus is investigated as well when the velocities of agents are unavailable. Simulation examples are provided to verify and illustrate the theoretical results obtained in this paper.
研究了有向拓扑下具有量化数据的线性离散二阶多智能体系统的一致性问题。利用量子化的共识协议,通过位置和速度给出了共识的充要条件。当设计参数满足量化一致性条件且量化区间长度趋于零时,得到最终的一致性值。进一步研究了agent速度不可用时,基于观测器的量化一致性问题。仿真实例验证和说明了本文的理论结果。
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引用次数: 0
Experimental external force estimation using a non-linear observer for 6 axes flexible-joint industrial manipulators 基于非线性观测器的六轴柔性关节工业机械臂实验外力估计
Pub Date : 2013-06-23 DOI: 10.1109/ASCC.2013.6606364
Jinna Qin, François Léonard, G. Abba
This paper proposes a non-linear observer to estimate not only the state (position and velocity) of links but also the external forces exerted by the robot during Friction Stir Welding (FSW) processes. The difficulty of performing this process with a robot lies in its lack of rigidity. In order to ensure a better tracking performance, the data such as real positions, velocities of links and external forces are required. However, those variations are not always measured in most industrial robots. Therefore, in this study, an observer is proposed to reconstruct those necessary parameters by using only measurements of motor side. The proposed observer is carried out on a 6 DOF flexible-joint industrial manipulator used in a FSW process.
本文提出了一种非线性观测器,用于估计搅拌摩擦焊接过程中机器人连杆的状态(位置和速度)以及机器人施加的外力。用机器人执行这个过程的困难在于它缺乏刚性。为了保证更好的跟踪性能,需要真实位置、连杆速度和外力等数据。然而,这些变化在大多数工业机器人中并不总是被测量到。因此,在本研究中,提出了一个观察者,以重建这些必要的参数,仅使用测量的运动侧。将所提出的观测器应用于FSW工艺中的6自由度柔性关节工业机械臂上。
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引用次数: 20
A new PID auto-tuning strategy with operational optimization for MCFC systems MCFC系统运行优化的PID自整定策略
Pub Date : 2013-06-23 DOI: 10.1109/ASCC.2013.6606304
Y. Cheon, Donghyun Lee, In-Beum Lee, S. Sung
This paper presents a new strategy of PID autotuning which is combined with an operational optimization for Molten Carbonate Fuel Cell (MCFC) systems to track the power demand with high efficiency. The PID auto-tuning methodology is based on frequency response identification and a model reduction to a fractional low order model. And the operational optimization problem is formulated by a radial basis functional neural network model. The proposed control strategy provides good control performance for the successive power demand changes and successfully compensates the nonlinearity of the MCFC system.
针对熔融碳酸盐燃料电池(MCFC)系统,提出了一种将PID自整定与运行优化相结合的新策略,以实现对电力需求的高效跟踪。PID自整定方法是基于频率响应识别和模型降阶到分数阶低阶模型。并利用径向基泛函神经网络模型提出了运行优化问题。所提出的控制策略对连续的电力需求变化具有良好的控制性能,并成功地补偿了MCFC系统的非线性。
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引用次数: 9
Digital AFC control of a three-phase three-wire unity-power-factor PWM rectifier 三相三线制单位功率因数PWM整流器的数字AFC控制
Pub Date : 2013-06-23 DOI: 10.1109/ASCC.2013.6606312
Marcos Orellana, R. Griñó
Nowadays, ac/dc power converters must fulfill more and more design constraints with respect to the electrical grid: harmonics reduction, operation with sags and swells and/or high grid impedances, etc. This is a challenge for the controllers, since they must be robust enough to ensure the stability of the system, specially when working the conditions are not the ideal ones. In this paper, a discrete-time control technique based on Adaptive Feed-forward Cancellation (AFC) is proposed for a three-phase three-wire rectifier with a LCL input filter. The continuous-time design method for resonators has been translated into the discrete-time domain. Thus, the controller has been entirely designed in discrete-time, avoiding approximate conversions of the controller from the continuous-time domain. Besides, the usual unit computational delay in sampled-data control systems is taken into account. The simulation results show that this kind of resonant control is not only robust, but also presents a good performance.
如今,交流/直流电源变换器必须满足越来越多的电网设计约束:谐波降低,运行与下垂和膨胀和/或高电网阻抗等。这对控制器来说是一个挑战,因为它们必须足够鲁棒以确保系统的稳定性,特别是在工作条件不是理想的情况下。针对带LCL输入滤波器的三相三线制整流器,提出了一种基于自适应前馈抵消(AFC)的离散时间控制技术。将谐振器的连续时间设计方法转化为离散时间域。因此,控制器完全在离散时间内设计,避免了控制器从连续时间域的近似转换。此外,还考虑了采样数据控制系统中常见的单元计算延迟。仿真结果表明,这种谐振控制不仅具有鲁棒性,而且具有良好的性能。
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引用次数: 2
Solution to second-order nonhomogeneous generalized Sylvester equations 二阶非齐次广义Sylvester方程的解
Pub Date : 2013-06-23 DOI: 10.1109/ASCC.2013.6606408
G. Duan
In this paper, a new type of nonhomogeneous second-order generalized Sylvester equations (GSEs) are proposed. A complete general parametric solution in a neat explicit closed form is established using the F-coprimeness condition. The primary feature of this solution is that the matrix F does not need to be in any canonical form, or may be even unknown a priori. The matrix R, together with the matrix F, may be both set undetermined and used as degrees of freedom beyond the completely free parameter matrix Z. The results provide great convenience to the computation and analysis of the solutions to this class of equations, and can perform important functions in many control systems analysis and design problems involving second-order dynamical systems.
提出了一类新的非齐次二阶广义Sylvester方程(gse)。利用f -互素性条件,建立了一个整洁的显式闭形式的完全一般参数解。这个解的主要特征是矩阵F不需要是任何标准形式,或者甚至可以是先验未知的。矩阵R和矩阵F既可以设为待定,也可以作为完全自由参数矩阵z之外的自由度。这一结果为这类方程解的计算和分析提供了极大的方便,并且在许多涉及二阶动力系统的控制系统分析和设计问题中起着重要的作用。
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引用次数: 2
A new technique in multi-model adaptive control: Sequential parameter discrimination and hybrid parameter vector 多模型自适应控制的一种新技术:序列参数判别和混合参数矢量
Pub Date : 2013-06-23 DOI: 10.1109/ASCC.2013.6606401
A. Cezayirli
We propose a new methodology in order to provide faster convergence in adaptive control of a class of nonlinear plants. Currently, each model in a multi-model adaptive system is evaluated as a whole, using a cost function derived from estimation errors. Therefore the number of fixed models required for improvement in transient response becomes quite large, for the plants having several unknown parameters. The proposed scheme removes this difficulty by considering each parameter sequentially and individually; and provides better convergence as compared to classical multi-model adaptive systems by using an assumption that a decrease in any element of the parameter error vector results in decrease in the state estimation error and vice-versa.
为了在一类非线性对象的自适应控制中提供更快的收敛性,我们提出了一种新的方法。目前,多模型自适应系统中的每个模型都是作为一个整体来评估的,使用由估计误差得出的代价函数。因此,对于具有多个未知参数的装置,改善瞬态响应所需的固定模型的数量变得相当大。该方案通过顺序和单独考虑每个参数来消除这一困难;与经典多模型自适应系统相比,通过假设参数误差向量的任何元素的减少都会导致状态估计误差的减少,反之亦然,从而提供更好的收敛性。
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引用次数: 1
Intelligent systems based solutions for the kinematics problem of the industrial robot arms 基于智能系统的工业机械臂运动学问题求解方法
Pub Date : 2013-06-23 DOI: 10.1109/ASCC.2013.6606306
E. Sariyildiz, Kemal Uçak, K. Ohnishi, Gülay Öke Günel, H. Temeltas
In this paper, three intelligent system methods namely Artificial Neural Network (ANN), Support Vector Machine (SVM) and Adaptive Neuro Fuzzy Inference Systems (ANFIS), are implemented to solve the inverse kinematics problem of the industrial robot arms. The main advantages of the intelligent system based solutions in the robot kinematics are that they can be easily implemented in analysis of complex mechanisms and their solutions do not suffer by the singularity that is one of the fundamental problems of inverse kinematics. The screw theory and quaternion algebra based kinematic model is used to improve the model efficiency by decreasing the computational complexity and load. The kinematics problem of the Staubli TX-60L industrial robot arm is analyzed by using the proposed intelligent system based solutions and simulation results are given.
本文采用人工神经网络(ANN)、支持向量机(SVM)和自适应神经模糊推理系统(ANFIS)三种智能系统方法求解工业机械臂的运动学逆问题。基于智能系统的机器人运动学解的主要优点是易于实现对复杂机构的分析,其解不受奇异性的影响,而奇异性是逆运动学的基本问题之一。采用螺旋理论和基于四元数代数的运动学模型,通过降低计算量和负载来提高模型效率。利用提出的基于智能系统的解决方案,对Staubli TX-60L工业机械臂的运动学问题进行了分析,并给出了仿真结果。
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引用次数: 5
A dynamical search space harmony search for unconstrained optimization problems 无约束优化问题的动态搜索空间和谐搜索
Pub Date : 2013-06-23 DOI: 10.1109/ASCC.2013.6606037
Wang Jing, Jiang Wei, Cao Liulin, Jin Qibing, Wang Wei
A dynamical search space harmony search (DSHS) algorithm in order to improve the efficiency of standard harmony search algorithm. The DSHS employs two strategies which are dynamically changing the search space and ancillary harmony-memory to increase the diversity of harmonies and the global search ability. First the ratio of twin-harmony is defined which is an index of identifying the diversity of harmonies in the Harmony Memory (HM). Then the search space is dynamically changed according to the max ratio of twin-harmony. Finally, ancillary harmony-memories are introduced to replace worse harmonies in the HM, which can keep the main HM from getting into troubles of HM diversity lacking and the local minimum point. Various benchmarks and PID tuning problem are performed to demonstrate the effectiveness of proposed algorithm.
为了提高标准和声搜索算法的效率,提出了一种动态搜索空间和声搜索(DSHS)算法。DSHS采用动态变化搜索空间和辅助谐波记忆两种策略来提高谐波的多样性和全局搜索能力。首先定义了双和声率,它是识别和声记忆中和声多样性的指标。然后根据双和声的最大比值动态改变搜索空间。最后,通过引入辅助谐波记忆来代替主谐波中较差的谐波,避免了主谐波多样性不足和局部极小点的问题。通过各种基准测试和PID整定问题验证了所提算法的有效性。
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引用次数: 1
期刊
2013 9th Asian Control Conference (ASCC)
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