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2012 IEEE International Conference on Control Applications最新文献

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Control of an extracorporeal heart assist device 体外心脏辅助装置的控制
Pub Date : 2012-10-01 DOI: 10.1109/CCA.2012.6402687
Alexander Sievert, C. Wiesener, A. Arndt, W. Drewelow, O. Simanski
Heart assist devices provide mechanical circulatory support for patients with end-stage heart failure. Extracorporeal blood pumps are applied to adult and pediatric patients in the case of uni- and biventricular assistance. Modern driving units provide more mobility what is an immense benefit to the quality of life of the patients. The treated heart assist device in this article is the EXCOR system (Berlin Heart GmbH, Germany), which is a pneumatically driven extracorporeal assist device. It allows uni- and biventricular heart support. The automatic control system should match the pump output to the metabolic needs by controlling the piston movement and the enclosed air mass in the pneumatic system. This paper describes the design of a control system for the extracorporeal assist device. A developed model is used for controller synthesis. This model is based on modified basic physical equations and optimized for practical applications.
心脏辅助装置为终末期心力衰竭患者提供机械循环支持。体外血泵适用于成人和儿童患者在单心室和双心室辅助的情况下。现代驱动装置提供了更多的机动性,这对患者的生活质量是一个巨大的好处。本文治疗的心脏辅助装置是EXCOR系统(Berlin heart GmbH, Germany),这是一种气动驱动的体外辅助装置。它允许单心室和双心室心脏支持。自动控制系统应通过控制活塞运动和气动系统中的封闭气团,使泵的输出量与代谢需要相匹配。本文介绍了一种体外辅助装置控制系统的设计。利用已开发的模型进行控制器综合。该模型基于修正的基本物理方程,并针对实际应用进行了优化。
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引用次数: 4
Real-time finite element dynamic substructuring using signal-based control strategies 基于信号控制策略的实时有限元动态子结构
Pub Date : 2012-10-01 DOI: 10.1109/CCA.2012.6402452
Jheng-Ying Jiang, J. Tu, Hao-Ting Yang
Advanced finite element dynamic substructuring tests using innovative signal-based control strategies are presented in this paper. Substructuring tests decompose an entire structural system into parts. Nonlinear and critical components are physically tested at full size, whilst the remainder is simulated numerically in real-time. The success of the tests depends on two major requirements: (1) a robust controller to synchronize the numerical and physical responses; (2) fast, stable and accurate numerical simulation techniques. Hence, the proposed new substructuring strategies use a signal-based approach to design robust controllers, and develop real-time finite element methods to guarantee simulation accuracy. Signal-based controllers are advantageous, because their designs do not require a priori knowledge of the numerical and physical components. Implementation studies of a beam-spring-damper dynamically substructured system verify the effectiveness of the proposed new testing techniques.
采用新颖的基于信号的控制策略,提出了先进的有限元动态子结构试验。子结构测试将整个结构系统分解为多个部分。非线性和关键部件在全尺寸下进行物理测试,而其余部分则进行实时数值模拟。测试的成功取决于两个主要要求:(1)一个鲁棒控制器来同步数值和物理响应;(2)快速、稳定、准确的数值模拟技术。因此,提出的新的子结构策略使用基于信号的方法来设计鲁棒控制器,并开发实时有限元方法来保证仿真精度。基于信号的控制器是有利的,因为它们的设计不需要先验的数字和物理组件的知识。一个梁-弹簧-阻尼器动态子结构系统的实现研究验证了所提出的新测试技术的有效性。
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引用次数: 0
A reactive algorithm for safe navigation of a wheeled mobile robot among moving obstacles 轮式移动机器人在移动障碍物中安全导航的响应式算法
Pub Date : 2012-10-01 DOI: 10.1109/CCA.2012.6402340
A. Savkin, Chao Wang
We present a simple biologically inspired strategy for navigation a unicycle-like robot towards a target while avoiding collisions with moving obstacles. Mathematically rigorous analysis of the proposed approach is provided. The convergence and performance of the algorithm is demonstrated via extensive computer simulations.
我们提出了一种简单的生物学启发策略,用于导航独轮车机器人走向目标,同时避免与移动的障碍物碰撞。对所提出的方法进行了严密的数学分析。通过大量的计算机仿真验证了该算法的收敛性和性能。
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引用次数: 6
Robot PD control with parallel/serial neural network and sliding mode compensations 并联/串行神经网络和滑模补偿的机器人PD控制
Pub Date : 2012-10-01 DOI: 10.1109/CCA.2012.6402689
D. Hernández, Wen Yu, Xiaoou Li
Both neural network and sliding mode can compensate the steady-state error of proportional-derivative (PD) control. PD control with neural compensation is smooth, but it is not asymptotically stable. PD control with sliding mode is asymptotically stable, but the chattering is big. This paper first analyzes the asymptotic stability of PD control with parallel neural networks and the first-order sliding mode compensation. Then a serial compensation structure is proposed. In the serial compensation, a dead-zone neural PD control assures that the regulation error is bounded. And a super-twisting second-order sliding-mode is used to guarantee finite time convergence of the sliding mode PD control.
神经网络和滑模都可以补偿比例导数控制的稳态误差。神经补偿PD控制是光滑的,但不是渐近稳定的。滑模PD控制渐近稳定,但抖振较大。本文首先分析了基于一阶滑模补偿的并行神经网络PD控制的渐近稳定性。然后提出了一种串行补偿结构。在串行补偿中,死区神经PD控制保证了调节误差有界。采用超扭转二阶滑模来保证滑模PD控制的有限时间收敛。
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引用次数: 2
Adaptive LFT control of a transport aircraft on the lateral axis 运输机横轴自适应LFT控制
Pub Date : 2012-10-01 DOI: 10.1109/CCA.2012.6402354
S. Oudin, G. Ferreres, G. Puyou, P. Mouyon
This paper describes the application of an indirect LFT (Linear Fractional Transformation) -based adaptive control scheme to a rigid transport aircraft, with emphasis on the lateral axis. The plant parameters, namely the stability derivatives, are estimated online using a Recursive Least Squares technique. A modal approach is used to directly synthesize the static output feedback LFT controller, scheduled as a function of the parameters to be estimated, in order to reduce the online computational time and complexity. The study of the stability and H∞/L2 performance of the adaptive closed loop is performed by the analysis of an LFT gain-scheduled closed loop which depends on the true values of the plant parameters and on the estimation error. Using this offline method, based on μ analysis, the adaptive aircraft control scheme is shown to be robust with respect to a large transient and asymptotic estimation error, as confirmed by time-domain results on a nonlinear six degree-of-freedom simulator.
本文描述了一种基于线性分数阶变换(LFT)的间接自适应控制方法在刚性运输机上的应用,重点是横向轴。利用递归最小二乘技术在线估计对象参数,即稳定性导数。采用模态方法直接合成静态输出反馈LFT控制器,并将其作为待估计参数的函数进行调度,以减少在线计算时间和复杂度。通过分析LFT增益调度闭环对对象参数真值和估计误差的依赖,研究了自适应闭环的稳定性和H∞/L2性能。在一个非线性六自由度模拟器上的时域实验结果表明,基于μ分析的离线自适应飞机控制方案对较大的瞬态和渐近估计误差具有鲁棒性。
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引用次数: 7
Building a Knowledge base to obtain the maximum power point for a PV panel 建立知识库,获取光伏板的最大功率点
Pub Date : 2012-10-01 DOI: 10.1109/CCA.2012.6402646
A. Korodi
Considering that the main objective of a photovoltaic (PV) system is to extract the maximum power that the PV panel can produce, the current work approaches the maximum power point tracking (MPPT) strategies. The paper presents a method that implements the knowledge base of a knowledge driven MPPT structure using a classical search algorithm. The knowledge base is represented by a two-dimensional Lookup table that through is support points associates the maximum power point (MPP) voltage or current coordinates to certain values of two basic external disturbances (solar radiation and temperature of the PV panel). After detecting and storing intermediary MPP coordinates, the Lookup table is set up using the Inverse Distance Weighting method. The detailed case study shows satisfactory results.
考虑到光伏系统的主要目标是获取光伏板所能产生的最大功率,目前的工作接近于最大功率点跟踪(MPPT)策略。提出了一种利用经典搜索算法实现知识驱动MPPT结构知识库的方法。知识库由二维查找表表示,通过支点将最大功率点(MPP)电压或电流坐标与两种基本外部干扰(太阳辐射和光伏板的温度)的某些值关联起来。在检测并存储中间MPP坐标后,采用距离逆加权法建立查找表。详细的案例分析结果令人满意。
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引用次数: 1
Adaptive asymptotic tracking control of strict-feedback nonlinear discrete-time system with periodic time delay 具有周期时滞的严格反馈非线性离散系统的自适应渐近跟踪控制
Pub Date : 2012-10-01 DOI: 10.1109/CCA.2012.6402341
Chenguang Yang, B. Xu, Hongbin Ma, P. Culverhouse
This paper presents adaptive asymptotic tracking control of a class of uncertain strict-feedback discrete-time nonlinear systems subjected to parametric and nonparametric model uncertainties with unknown periodic time delay. Using states information in the past instant to compensate for non-parametric uncertainties at the current instant, constructive adaptive control is developed based on predicted future states. The designed adaptive control guarantees the bounded-ness of all the closed-loop signals and achieves asymptotic tracking performance.
本文研究了一类具有未知周期时滞的参数和非参数模型不确定性的不确定严格反馈离散非线性系统的自适应渐近跟踪控制。利用过去时刻的状态信息来补偿当前时刻的非参数不确定性,提出了基于预测未来状态的建设性自适应控制。所设计的自适应控制保证了所有闭环信号的有界性,并实现了渐近跟踪性能。
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引用次数: 0
Nonlinear robust stage control of atomic force microscope 原子力显微镜的非线性鲁棒级控制
Pub Date : 2012-10-01 DOI: 10.1109/CCA.2012.6402658
T. Nakakuki, Makoto Ogawa, C. Ishii
This paper proposes a robust nonlinear controller for a stage control of a vertical scanner in atomic force micro-scope to improve a settling time compared to a conventional PI controller, which results in a faster scanning on a sample surface. The physical model of the whole measurement system with respect to a vertical stage control is mainly described by two linear subsystems and a nonlinear and nonsmooth subsystem with a unmatched disturbance generated from a change of shape in a sample surface. First, we propose an approximation model in which a nonsmoothness that is generated by repetitive collisions between cantilever and sample surface is virtually converted into an additional nonsmooth disturbance. Then, the control problem is to design a feedback controller to compensate the two unmatched disturbances as fast as possible. With the object of a specification of a general AFM product, we assume that only output signal is available. Then, a controller including both a softened switching action and a PI compensator is introduced. Simulation results show our superiority in fast response compared to a conventional PI controller.
本文提出了一种鲁棒非线性控制器,用于原子力显微镜垂直扫描仪的阶段控制,与传统的PI控制器相比,它缩短了沉降时间,从而提高了对样品表面的扫描速度。整个测量系统在垂直阶段控制方面的物理模型主要由两个线性子系统和一个非线性非光滑子系统来描述,该子系统具有由样品表面形状变化产生的不匹配扰动。首先,我们提出了一个近似模型,其中由悬臂梁和样品表面之间的重复碰撞产生的非光滑性实际上转化为额外的非光滑扰动。然后,控制问题是设计一个反馈控制器来尽可能快地补偿两个不匹配的干扰。以一般AFM产品的规格为对象,假设只有输出信号可用。在此基础上,提出了一种包含柔化开关动作和PI补偿器的控制器。仿真结果表明,与传统PI控制器相比,该控制器具有快速响应的优势。
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引用次数: 1
Repetitive process based iterative learning control design using frequency domain analysis 基于重复过程的频域迭代学习控制设计
Pub Date : 2012-10-01 DOI: 10.1109/CCA.2012.6402438
W. Paszke, K. Gałkowski, E. Rogers
This paper gives new results on the design of iterative learning control laws that enables one step design of a stabilizing feedback controller in the time domain and a feedforward (learning) controller which guarantees convergence in the trial domain. The Kalman-Yakubovich-Popov lemma is central to the analysis and the resulting computations use convex optimization over linear matrix inequalities. An illustrative example is given based on the model of an experimental facility that has been used to compare alternative iterative learning control designs.
本文给出了迭代学习控制律设计的新结果,使得在时域上一步设计出稳定反馈控制器,在试验域上一步设计出保证收敛的前馈(学习)控制器。卡尔曼-雅库博维奇-波波夫引理是分析的核心,由此产生的计算使用线性矩阵不等式上的凸优化。基于实验设备的模型,给出了一个说明性的例子,用于比较不同的迭代学习控制设计。
{"title":"Repetitive process based iterative learning control design using frequency domain analysis","authors":"W. Paszke, K. Gałkowski, E. Rogers","doi":"10.1109/CCA.2012.6402438","DOIUrl":"https://doi.org/10.1109/CCA.2012.6402438","url":null,"abstract":"This paper gives new results on the design of iterative learning control laws that enables one step design of a stabilizing feedback controller in the time domain and a feedforward (learning) controller which guarantees convergence in the trial domain. The Kalman-Yakubovich-Popov lemma is central to the analysis and the resulting computations use convex optimization over linear matrix inequalities. An illustrative example is given based on the model of an experimental facility that has been used to compare alternative iterative learning control designs.","PeriodicalId":284064,"journal":{"name":"2012 IEEE International Conference on Control Applications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121781527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Trapezoidal rule for numerical evaluation of fractional order integrals with applications to simulation and identification of fractional order systems 分数阶积分数值求值的梯形规则及其在分数阶系统仿真和辨识中的应用
Pub Date : 2012-10-01 DOI: 10.1109/CCA.2012.6402359
M. Rapaić, A. Pisano, Z. Jeličić
This paper presents an extension of the well-known trapezoidal (bilinear) integration rule, that in the present work is applied to the numerical evaluation of fractional-order integrals. Particularly, this approximation is exploited to derive viable numerical algorithms addressing two distinct problems: i) simulation of Linear Time-Invariant (LTI) Commensurate Fractional Order Systems (CFOS); ii) non-recursive parameter estimation in LTI-CFOS. More precisely, the problem of non-recursive parameter estimation is addressed in two different scenarios. The first one is when the commensurate order of the CFOS is known in advance, while the second, more general, one is that in which the commensurate order is unknown and is to be estimated. The effectiveness of the proposed methods is illustrated by numerical examples.
本文对著名的梯形(双线性)积分规则进行了推广,并将其应用于分数阶积分的数值求值。特别是,这种近似被用来推导可行的数值算法来解决两个不同的问题:i)线性时不变(LTI)相称分数阶系统(CFOS)的模拟;ii) LTI-CFOS中的非递归参数估计。更准确地说,在两种不同的情况下解决了非递归参数估计问题。第一种是事先知道首席财务官的相应顺序,而第二种更一般,是不知道相应顺序的情况,需要估计。数值算例说明了所提方法的有效性。
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引用次数: 10
期刊
2012 IEEE International Conference on Control Applications
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