2017 American Control Conference (ACC)最新文献

筛选
英文 中文
Iterative Learning Control and feedforward for LPV systems: Applied to a position-dependent motion system LPV系统的迭代学习控制与前馈:应用于位置相关运动系统
2017 American Control Conference (ACC) Pub Date : 2017-06-29 DOI: 10.23919/ACC.2017.7963491
R. Rozario, T. Oomen, M. Steinbuch
{"title":"Iterative Learning Control and feedforward for LPV systems: Applied to a position-dependent motion system","authors":"R. Rozario, T. Oomen, M. Steinbuch","doi":"10.23919/ACC.2017.7963491","DOIUrl":"https://doi.org/10.23919/ACC.2017.7963491","url":null,"abstract":"Iterative Learning Control (ILC) enables performance improvement by learning from previous tasks. The aim of this paper is to develop an ILC approach for Linear Parameter Varying (LPV) systems to enable improved performance and increased convergence speed compared to the linear time-invariant approach. This is achieved through dedicated analysis and norm-optimal synthesis of LPV learning filters. Application to a position-dependent motion system shows a significant improvement in accuracy and convergence rate, thereby confirming the potential of the proposed approach.","PeriodicalId":422926,"journal":{"name":"2017 American Control Conference (ACC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115622752","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: 15
Simultaneous topography imaging and broadband nanomechanical property mapping using atomic force microscope 利用原子力显微镜同时成像和宽带纳米力学性能制图
2017 American Control Conference (ACC) Pub Date : 2017-06-29 DOI: 10.23919/ACC.2017.7963050
Tianwei Li, Q. Zou
{"title":"Simultaneous topography imaging and broadband nanomechanical property mapping using atomic force microscope","authors":"Tianwei Li, Q. Zou","doi":"10.23919/ACC.2017.7963050","DOIUrl":"https://doi.org/10.23919/ACC.2017.7963050","url":null,"abstract":"In this paper, an approach is proposed to integrate contact-mode imaging with simultaneous broadband nanomechanical property mapping of soft materials in air by using atomic force microscope(AFM). Simultaneous imaging and nanomechanical mapping is needed to correlate the morphological and mechanical evolutions of the sample during the dynamic phenomena such as cell defusion process. However, current method to mechanical property mapping—the force-volume mapping technique—is limited to static elasticity mapping only, whereas the mechanical properties of soft materials are viscoelastic of frequency-dependence in nature. The proposed approach aims to address these challenges to enable simultaneous imaging and broadband nanomechanical mapping of soft materials in air. Specifically, it is proposed to augment a complex excitation input to the sample topography tracking during the imaging process. The proposed approach is illustrated through experimental implementation on a PDMS sample. The experimental results obtained demonstrate that by using the proposed technique, both topography imaging and broadband viscoelasticity quantification can be reliably achieved.","PeriodicalId":422926,"journal":{"name":"2017 American Control Conference (ACC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126970021","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: 4
A robust scheme for distributed control of power converters in DC microgrids with time-varying power sharing 一种时变功率共享直流微电网中功率变换器的鲁棒分布式控制方案
2017 American Control Conference (ACC) Pub Date : 2017-06-29 DOI: 10.23919/ACC.2017.7963151
Mayank Baranwal, Alireza Askarian, S. Salapaka, M. Salapaka
{"title":"A robust scheme for distributed control of power converters in DC microgrids with time-varying power sharing","authors":"Mayank Baranwal, Alireza Askarian, S. Salapaka, M. Salapaka","doi":"10.23919/ACC.2017.7963151","DOIUrl":"https://doi.org/10.23919/ACC.2017.7963151","url":null,"abstract":"This paper addresses the problem of output voltage regulation for multiple DC/DC converters connected to a microgrid, and prescribes a scheme for sharing power among different sources. This architecture is structured in such a way that it admits quantifiable analysis of the closed-loop performance of the network of converters; the analysis simplifies to studying closed-loop performance of an equivalent single-converter system. The proposed architecture allows for the proportion in which the sources provide power to vary with time; thus overcoming limitations of our previous designs in [1]. Additionally, the proposed control framework is suitable to both centralized and decentralized implementations, i.e., the same control architecture can be employed for voltage regulation irrespective of the availability of common load-current (or power) measurement, without the need to modify controller parameters. The performance becomes quantifiably better with better communication of the demanded load to all the controllers at all the converters (in the centralized case); however guarantees viability when such communication is absent. Case studies comprising of battery, PV and generic sources are presented and demonstrate the enhanced performance of prescribed optimal controllers for voltage regulation and power sharing.","PeriodicalId":422926,"journal":{"name":"2017 American Control Conference (ACC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127870322","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: 5
Angle-domain internal model control via a time-varying Kalman filter 基于时变卡尔曼滤波的角域内模控制
2017 American Control Conference (ACC) Pub Date : 2017-06-29 DOI: 10.23919/ACC.2017.7963860
Perry Y. Li
{"title":"Angle-domain internal model control via a time-varying Kalman filter","authors":"Perry Y. Li","doi":"10.23919/ACC.2017.7963860","DOIUrl":"https://doi.org/10.23919/ACC.2017.7963860","url":null,"abstract":"Angle-domain structured disturbances refer to disturbances that satisfy a dynamic structure in a generic angle variable which is monotonically increasing with time but not uniformly. A difficulty in designing controllers to compensate for such angle-domain structured disturbances is that the system is invariably either time-varying or angle-varying. This paper uses the affine parameterization control design perspective and proposes a straight forward design procedure that utilizes a time-varying Kalman filter to estimate the disturbance state and a feedforward controller to install the disturbance cancellation. A sandwiched system is assumed where the input and output plants can be non-minimum phase. With non-minimum phase input plants, approximate feedforward controls are proposed to avoid the need for full future information on the angular rate.","PeriodicalId":422926,"journal":{"name":"2017 American Control Conference (ACC)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132756896","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: 2
A comparative study of Extended Kalman Filter and an optimal nonlinear observer for state estimation 状态估计中扩展卡尔曼滤波器与最优非线性观测器的比较研究
2017 American Control Conference (ACC) Pub Date : 2017-06-29 DOI: 10.23919/ACC.2017.7963764
Amir Valibeygi, I. M.HadiBalaghi, K. Vijayaraghavan
{"title":"A comparative study of Extended Kalman Filter and an optimal nonlinear observer for state estimation","authors":"Amir Valibeygi, I. M.HadiBalaghi, K. Vijayaraghavan","doi":"10.23919/ACC.2017.7963764","DOIUrl":"https://doi.org/10.23919/ACC.2017.7963764","url":null,"abstract":"A recently developed nonlinear H∞ observer and Extended Kalman Filter (EKF) offer two filters for state estimation in nonlinear systems. The Riccati equation that arises while developing the nonlinear H∞ observer is compared with the Riccati equation arising from the Extended Kalman Filter (EKF). Variations between the two Riccati equations translate into the differences in the performance of these alternative estimation methods. The H∞ filter offers faster convergence of the estimation covariance at large estimation errors during the transience of the filter. The Extended Kalman Filter, on the other hand, maintains higher levels of optimality at steady state at the expense of higher computational load. An LMI formulation for the H∞ filter is also presented that allows leveraging the bound on the nonlinearity to seek a stable filter for nonlinear systems.","PeriodicalId":422926,"journal":{"name":"2017 American Control Conference (ACC)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133495435","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: 7
Stochastic model predictive control for LPV systems LPV系统的随机模型预测控制
2017 American Control Conference (ACC) Pub Date : 2017-06-29 DOI: 10.23919/ACC.2017.7963835
S. Chitraganti, R. Tóth, N. Meskin, J. Mohammadpour
{"title":"Stochastic model predictive control for LPV systems","authors":"S. Chitraganti, R. Tóth, N. Meskin, J. Mohammadpour","doi":"10.23919/ACC.2017.7963835","DOIUrl":"https://doi.org/10.23919/ACC.2017.7963835","url":null,"abstract":"This paper considers a stochastic model predictive control of linear parameter-varying (LPV) systems described by affine parameter dependent state-space representations with additive stochastic uncertainties and probabilistic state constraints. In computing the prediction dynamics for LPV systems, the scheduling signal is given a stochastic description during the prediction horizon, which aims to overcome the shortcomings of the existing approaches where the scheduling signal is assumed to be constant or allowed to vary in a convex set. The above representation leads to LPV system dynamics consisting of additive and multiplicative uncertain stochastic terms up to second order. The prediction dynamics are reposed in an augmented form, which facilitates the feasibility of probabilistic constraints and closed-loop stability in the presence of stochastic uncertainties.","PeriodicalId":422926,"journal":{"name":"2017 American Control Conference (ACC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130973045","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: 5
Simultaneous optimization of material properties and energy efficiency of a steel quench hardening process 钢淬火工艺中材料性能和能源效率的同步优化
2017 American Control Conference (ACC) Pub Date : 2017-06-29 DOI: 10.23919/ACC.2017.7963282
Harish Ganesh, E. Taleff, T. Edgar, M. Baldea
{"title":"Simultaneous optimization of material properties and energy efficiency of a steel quench hardening process","authors":"Harish Ganesh, E. Taleff, T. Edgar, M. Baldea","doi":"10.23919/ACC.2017.7963282","DOIUrl":"https://doi.org/10.23919/ACC.2017.7963282","url":null,"abstract":"Quench hardening is a mechanical process in which steel workpieces are hardened and strengthened. It consists of heating the workpieces to a high temperature in order to transform the metal to austenite, followed by quenching in oil, water or brine. In this work, we report on potential improvements for the energy efficiency of a steel quench hardening process, currently in operation at an industrial partner, which can be achieved via model-based optimal control. To obtain a defect-free and structurally sound product, both the macroscopic temperature and microstructural properties of the workpieces need to be controlled. The novelty of this work lies in the modeling approach considered to solve the furnace energy consumption minimization problem. A previously-developed radiation-based model is used to evaluate the energy consumption and part temperature distribution as a function of the time of processing. Simultaneously, we predict the effects of process variables on microstructural evolution of the parts and their consequences on the hardness and toughness of the quenched product. A response surface method is used to find the optimal set points of the feedback controllers that minimize the furnace energy consumption without violating the heating requirements and the desired grain size. Furnace operation under optimal set points results in a significant energy efficiency gain of 3.5% when compared with the heuristic operation currently in place.","PeriodicalId":422926,"journal":{"name":"2017 American Control Conference (ACC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123928733","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: 6
Self-triggered and event-driven control for linear systems with stochastic delays 随机时滞线性系统的自触发与事件驱动控制
2017 American Control Conference (ACC) Pub Date : 2017-06-29 DOI: 10.23919/ACC.2017.7963411
S. Prakash, E. V. Horssen, D. Antunes, W. Heemels
{"title":"Self-triggered and event-driven control for linear systems with stochastic delays","authors":"S. Prakash, E. V. Horssen, D. Antunes, W. Heemels","doi":"10.23919/ACC.2017.7963411","DOIUrl":"https://doi.org/10.23919/ACC.2017.7963411","url":null,"abstract":"Delays are often present in embedded and networked control loops and represent one of the main sources of performance limitations. In this paper, we propose two aperiodic control strategies to optimize closed-loop performance in the presence of stochastic delays: (i) a self-triggered strategy, in which the deadline to drop data is decided on-line based on the current state; (ii) an event-driven strategy, whereby the control input is updated immediately after the delayed data becomes available, leading in general to faster but time-varying control loops. These schemes are designed and analyzed using a standard LQG framework, which allows for assessing and comparing closed-loop performance. We establish that our self-triggered strategy always achieves a better closed-loop performance than periodic control with an optimal sampling period. Moreover, we provide examples where the event-driven strategy outperforms the self-triggered strategy and examples where the opposite is observed.","PeriodicalId":422926,"journal":{"name":"2017 American Control Conference (ACC)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124179908","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: 5
Acceleration-snap feedforward scheme for a motion system with viscoelastic tuned-mass-damper 粘弹性调谐质量阻尼器运动系统的加速度-间隙前馈方案
2017 American Control Conference (ACC) Pub Date : 2017-06-29 DOI: 10.23919/ACC.2017.7963389
M. Heertjes, Maurice L. J. van de Ven, Ramidin Kamidi
{"title":"Acceleration-snap feedforward scheme for a motion system with viscoelastic tuned-mass-damper","authors":"M. Heertjes, Maurice L. J. van de Ven, Ramidin Kamidi","doi":"10.23919/ACC.2017.7963389","DOIUrl":"https://doi.org/10.23919/ACC.2017.7963389","url":null,"abstract":"Bandwidth-limiting flexible modes in motion systems like the stage systems of a wafer scanner can effectively be damped by incorporating a viscoelastic tuned-mass-damper. This allows for an increase of bandwidth. The viscoelastic properties however pose a challenge on the feedforward design and thereby limit the achievable tracking performance. This is because the viscoelastic properties, which cannot be described by the simple addition of an elastic and a viscous element, induce a relaxation effect that prolongs well beyond the moment that inertial forces induced by the setpoint are being applied to the system. To cope with this problem, a tenth-order model fit from measured frequency response data that sufficiently captures the viscoelastic properties is combined with a data-based optimization approach needed to fine-tune a limited set of acceleration-snap feedforward gains. Experimental results from an industrial wafer stage system demonstrate the applicability of the approach.","PeriodicalId":422926,"journal":{"name":"2017 American Control Conference (ACC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131712732","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: 2
System Level Parameterizations, constraints and synthesis 系统级参数化、约束和综合
2017 American Control Conference (ACC) Pub Date : 2017-05-24 DOI: 10.23919/ACC.2017.7963133
Yuh-Shyang Wang, N. Matni, J. Doyle
{"title":"System Level Parameterizations, constraints and synthesis","authors":"Yuh-Shyang Wang, N. Matni, J. Doyle","doi":"10.23919/ACC.2017.7963133","DOIUrl":"https://doi.org/10.23919/ACC.2017.7963133","url":null,"abstract":"We introduce the system level approach to controller synthesis, which is composed of three elements: System Level Parameterizations (SLPs), System Level Constraints (SLCs) and System Level Synthesis (SLS) problems. SLPs provide a novel parameterization of all internally stabilizing controllers and the system responses that they achieve. These can be combined with SLCs to provide parameterizations of constrained stabilizing controllers. We provide a catalog of useful SLCs, and show that by using SLPs with SLCs, we can parameterize the largest known class of constrained stabilizing controllers that admit a convex characterization. Finally, we formulate the SLS problem, and show that it defines the broadest known class of constrained optimal control problems that can be solved using convex programming. We end by using the system level approach to computationally explore tradeoffs in controller performance, architecture cost, robustness and synthesis/implementation complexity.","PeriodicalId":422926,"journal":{"name":"2017 American Control Conference (ACC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127347080","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: 21
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信