Thomas Rier, S. Srinivasan, M. Soroush, G. Kalfas, M. Grady, A. Rappe
{"title":"Macroscopic mechanistic modeling and optimization of a self-initiated high-temperature polymerization reactor","authors":"Thomas Rier, S. Srinivasan, M. Soroush, G. Kalfas, M. Grady, A. Rappe","doi":"10.1109/ACC.2011.5991445","DOIUrl":"https://doi.org/10.1109/ACC.2011.5991445","url":null,"abstract":"This paper presents a macroscopic mechanistic mathematical modeling and optimization study of a batch polymerization reactor in which self-initiated free-radical polymerization of n-butyl acrylate at 140 and 160°C takes place. The model is obtained using a comprehensive free-radical polymerization reaction mechanism. The rate constant of the monomer self-initiation is estimated from monomer conversion measurements. The model is validated using a different set of conversion measurements. The validation results show that the macroscopic mechanistic model is accurate enough for optimization of the self-initiated polymerization reactor to produce high quality acrylic resins. The model is then used to calculate an optimal batch-reactor temperature profile that yields an end-batch polymer product with desired properties (conversion and number-average molecular weight).","PeriodicalId":225201,"journal":{"name":"Proceedings of the 2011 American Control Conference","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115086930","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}
{"title":"Nonlinear observer design for Lipschitz nonlinear systems","authors":"B. Song, J. Hedrick","doi":"10.1109/ACC.2011.5990894","DOIUrl":"https://doi.org/10.1109/ACC.2011.5990894","url":null,"abstract":"This paper presents a nonlinear observer design methodology for a class of Lipschitz nonlinear systems via convex optimization. A sufficient condition for the existence of an observer gain matrix to stabilize the estimation error dynamics is given in term of a quadratic stability margin. In addition, the observer gain matrix is optimally designed by minimizing the magnitude of elements of the observer gain matrix to reduce the amplification of sensor measurement noise. Furthermore, when disturbances considered as unknown deterministic inputs are imposed on the error dynamics in an additive form, the observer gain matrix is redesigned to minimize an induced L2 gain between the disturbance to the estimation error as well as the effect of measurement noise. Finally a systematic design algorithm is applied to a flexible joint robot system.","PeriodicalId":225201,"journal":{"name":"Proceedings of the 2011 American Control Conference","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117052733","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}
S. Küchler, Christoph Pregizer, J. K. Eberharter, K. Schneider, O. Sawodny
{"title":"Real-time estimation of a ship's attitude","authors":"S. Küchler, Christoph Pregizer, J. K. Eberharter, K. Schneider, O. Sawodny","doi":"10.1109/ACC.2011.5990612","DOIUrl":"https://doi.org/10.1109/ACC.2011.5990612","url":null,"abstract":"During subsea lifting operations in harsh sea conditions, the involved crane system is subjected to extensive dynamic forces due to vertical vessel motion. Thus, active heave compensation systems can be used to compensate for vertical vessel motion and to reduce forces acting on the crane structure. Furthermore, such systems allow an exact positioning of the load on the seabed. However, active heave compensation systems always require knowledge about the vertical position of the crane depending on the ship's heave, roll, and pitch motion. Hence, an attitude estimation method for ships during subsea lifting operations is proposed. To estimate the roll and pitch motion of a vessel with high accuracy, rotation rate sensors are fused with accelerometers using an Extended Kalman Filter. Since an exact knowledge of the yaw motion is not required to determine the crane's vertical motion, the yaw angle is stabilized around zero with an additional virtual sensor signal. The attitude estimation algorithm is evaluated with simulation and measurement results from an experimental setup.","PeriodicalId":225201,"journal":{"name":"Proceedings of the 2011 American Control Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117201132","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}
{"title":"Robust composite adaptive fuzzy identification and control for a class of MIMO nonlinear systems","authors":"Dohee Kim, H. Chung, S. Bhasin, W. Dixon","doi":"10.1109/ACC.2011.5991419","DOIUrl":"https://doi.org/10.1109/ACC.2011.5991419","url":null,"abstract":"A robust adaptive fuzzy identification and trajectory tracking control approach is developed for a class of multi-input-multi-output (MIMO) nonlinear systems in the presense of unmodeled uncertainties, parametric uncertainties, and external disturbances. A sliding mode-based fuzzy model identification/observer method is used to provide additional feedback of the unknown system dynamics. The model identification error is used along with the tracking error as a composite adaptive update law for a fuzzy logic based feedforward term. The fuzzy logic feedforward term is used in conjunction with a recently developed robust integral of the sign of the error (RISE) feedback method to yield a continuous controller that achieves semi-global asymptotic trajectory tracking.","PeriodicalId":225201,"journal":{"name":"Proceedings of the 2011 American Control Conference","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116169178","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}
{"title":"Design and experimental validation of a model-based injection pressure controller in a common rail system for GDI engine","authors":"A. Gaeta, G. Fiengo, A. Palladino, V. Giglio","doi":"10.1109/ACC.2011.5990940","DOIUrl":"https://doi.org/10.1109/ACC.2011.5990940","url":null,"abstract":"Progressive reductions in vehicle emission requirements have forced the automotive industry to invest in research and development of alternative control strategies. All control features and resources are permanently active in an electronic control unit, ensuring the best performance in terms of pollutant emissions and power density, as well as driveability and diagnostics. A way to attain these goals is the adoption of Gasoline Direct Injection (GDI) engine technology. In order to assist the engine management system design, through a better performance of GDI engine and the Common Rail (CR) system, in this work an injection pressure regulation to stabilize the fuel pressure in the CR fuel line is proposed and validated via experiments. The resulting control strategy is composed by a feedback integral action and a static model-based feed-forward action whose gains are scheduled as function of fundamental plant parameters. The tuning of the closed loop performance is then supported by an analysis of the phase margin and the sensitivity function. Preliminary experimental results confirm the effectiveness of the control algorithm in regulating the mean value rail pressure independently from engine working conditions, i.e. engine speed and time of injection, with limited design effort.","PeriodicalId":225201,"journal":{"name":"Proceedings of the 2011 American Control Conference","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116485053","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}
{"title":"Motif-based communication network formation for task specific collaboration in complex environments","authors":"J. Baras, P. Hovareshti, Hua Chen","doi":"10.1109/ACC.2011.5991469","DOIUrl":"https://doi.org/10.1109/ACC.2011.5991469","url":null,"abstract":"Networks of mobile autonomous vehicles rely heavily on wireless communications as well as sensing devices for distributed path planning and decision making. Designing energy efficient distributed decision making algorithms in these systems is challenging and requires that different task-oriented information becomes available to the corresponding agents in a timely and reliable manner. We develop a systems engineering oriented approach to the design of networks of mobile autonomous systems, in which a cross-layer design methodology determines what structures are to be used to satisfy different task requirements. We identify a three-tier organization of these networks consisting of connectivity, communication, and action graphs and study the interaction between them. It is expected that in each functionality of a network, there are certain topologies that facilitate better achievement of the agents' objectives. Inspired from biological complex networks, we propose a bottom-up approach in network formation, in which small efficient subgraphs (motifs) for different functionalities of the network are determined. The overall network is then formed as a combination of these sub-graphs. We show that the bottom-up approach to network formation is capable of generating efficient topologies for multi-tasking complex environments.","PeriodicalId":225201,"journal":{"name":"Proceedings of the 2011 American Control Conference","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123516334","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}
Aniket Gupta, M. Franchek, K. Grigoriadis, Daniel J. Smith
{"title":"Model based failure detection of Diesel Particulate Filter","authors":"Aniket Gupta, M. Franchek, K. Grigoriadis, Daniel J. Smith","doi":"10.1109/ACC.2011.5991457","DOIUrl":"https://doi.org/10.1109/ACC.2011.5991457","url":null,"abstract":"Improvements in diesel engine technology have resulted in their expanded usage as powertrains in automotive applications. The Diesel Particulate Filter (DPF) is a common component of the exhaust after-treatment system of Diesel engines that removes the harmful Particulate Matter (PM) in the exhaust gas. To ensure that the filter is able to reduce PM levels of the diesel exhaust below regulated limits, On Board Diagnostics (OBD) of DPFs is required to provide alerts in the case of filter malfunction or failure. In the present study a method for performing the failure detection of Diesel Particulate Filter is proposed based on an adaptive model based technique. To detect a failure the coefficients of a healthy model of the pressure difference across the filter are compared with the adapted model coefficients since the presence of failure alters the dynamics of the system. This approach is robust to modeling errors, sensor noise and process variability and has OBD capability without the need of any additional sensors. The proposed approach is experimentally validated on a federal test procedure (FTP-75) drive cycle for healthy and failed filters in a heavy duty diesel engine test cell.","PeriodicalId":225201,"journal":{"name":"Proceedings of the 2011 American Control Conference","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123595414","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}
R. Schlanbusch, A. Loría, R. Kristiansen, P. J. Nicklasson
{"title":"PD+ based output feedback attitude control of rigid bodies with improved performance","authors":"R. Schlanbusch, A. Loría, R. Kristiansen, P. J. Nicklasson","doi":"10.1109/ACC.2011.5991389","DOIUrl":"https://doi.org/10.1109/ACC.2011.5991389","url":null,"abstract":"We address the problem of output feedback attitude control of a rigid body in quaternion coordinate space through a modified PD+ based tracking controller. The control law ensures faster convergence to the desired operating point during attitude maneuver, while keeping the gains small for station keeping, thus being less sensitive to measurement noise. The angular velocity is estimated with a similar technique, thus keeping the property of lower sensitivity to measurement noise. A direct consequence is a drop in energy consumption and more accurate estimation results when affected by sensor noise. More precisely, we show uniform practical asymptotic stability of the equilibrium point for the closed loop system in the presence of unknown, bounded input disturbances. Simulation results illustrate the performance improvement with respect to PD+ based output feedback control with static gains.","PeriodicalId":225201,"journal":{"name":"Proceedings of the 2011 American Control Conference","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121934849","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}
{"title":"Semi-analytic Gaussian Assumed Density Filter","authors":"Marco F. Huber, F. Beutler, U. Hanebeck","doi":"10.1109/ACC.2011.5991332","DOIUrl":"https://doi.org/10.1109/ACC.2011.5991332","url":null,"abstract":"For Gaussian Assumed Density Filtering based on moment matching, a framework for the efficient calculation of posterior moments is proposed that exploits the structure of the given nonlinear system. The key idea is a careful discretization of some dimensions of the state space only in order to decompose the system into a set of nonlinear subsystems that are conditionally integrable in closed form. This approach is more efficient than full discretization approaches. In addition, the new decomposition is far more general than known Rao-Blackwellization approaches relying on conditionally linear subsystems. As a result, the new framework is applicable to a much larger class of nonlinear systems.","PeriodicalId":225201,"journal":{"name":"Proceedings of the 2011 American Control Conference","volume":"588 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121975778","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}
{"title":"Frequency identification of nonparametric Hammerstein systems with backlash nonlinearity","authors":"A. Brouri, F. Giri, Y. Rochdi, F. Z. Chaoui","doi":"10.1109/ACC.2011.5991358","DOIUrl":"https://doi.org/10.1109/ACC.2011.5991358","url":null,"abstract":"We are considering the problem of identifying continuous-time Hammerstein systems that contain backlash nonlinearities. Both the linear and nonlinear parts are nonparametric and of unknown structure. In particular, the backlash nonlinearity borders are of arbitrary-shape and so may be nonsmooth and noninvertible. A two-stage frequency identification method is developed to get a set of points of the nonlinearity borders and estimates of the linear subsystem frequency gain at a number of frequencies. The method involves easily generated excitation signals and simple Fourier series decomposition based algorithms. All estimators are shown to be consistent.","PeriodicalId":225201,"journal":{"name":"Proceedings of the 2011 American Control Conference","volume":"13 47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123921012","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}