{"title":"Robust distributed model predictive control of constrained continuous-time nonlinear systems using two-layer invariant set","authors":"Xiaotao Liu, Yang Shi, D. Constantinescu","doi":"10.1109/ACC.2014.6858906","DOIUrl":"https://doi.org/10.1109/ACC.2014.6858906","url":null,"abstract":"This paper investigates the distributed model predictive control (MPC) of a group of dynamically decoupled nonlinear systems coupled by cost function. The communication topology features neighbor-to-neighbor information exchange of the assumed system state trajectory. The cooperation among dynamically decoupled nonlinear systems is promoted by including a coupling term in the cost function. A control strategy is designed based on the two-layer invariant set in order to handle the effect of the external disturbances. It is shown that by appropriately choosing the sampling interval, the recursive feasibility is guaranteed provided that the initial state is feasible and the disturbance is bounded by a certain level. Sufficient conditions are established such that all system states converge to their corresponding robust positively invariant sets. The effectiveness of the proposed method is verified through a simulation example.","PeriodicalId":369729,"journal":{"name":"2014 American Control Conference","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133883025","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":"Trajectory optimization of pneumatically actuated, redundant continuum manipulators","authors":"Valentin Falkenhahn, A. Hildebrandt, O. Sawodny","doi":"10.1109/ACC.2014.6858736","DOIUrl":"https://doi.org/10.1109/ACC.2014.6858736","url":null,"abstract":"For the planning of time-critical paths for redundant continuum manipulators, dynamic input constraints such as the maximum air mass flow on the pressure dynamics of a pneumatically actuated system have a significant impact on the transition time. This paper presents a trajectory generation framework by using optimal control strategies that consider not only the mechanical dynamics, but also the pressure dynamics of a pneumatically actuated system. For the formulation of the optimal control problem, a decoupled dynamic model of the actuators and their pressure dynamics including a maximal mass flow estimation is used. The kinematic model of the manipulator is based on the constant curvature approach. The nonlinear optimal control problem with dynamic input constraints is discretized and solved numerically. Optimization results from an example manipulator show a significant reduction of the transition time, compared to simple distance-based optimizations.","PeriodicalId":369729,"journal":{"name":"2014 American Control Conference","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133972064","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":"Direct heuristic dynamic programming method for power system stability enhancement","authors":"Miao Yu, Chao Lu, Yongjun Liu","doi":"10.1109/ACC.2014.6858581","DOIUrl":"https://doi.org/10.1109/ACC.2014.6858581","url":null,"abstract":"In this paper a neural network-based approximate dynamic programming method, namely direct heuristic dynamic programming (direct HDP), is applied to power system stability control. Direct HDP is a learning and approximation based approach to address nonlinear system control under uncertainty. In the present paper, real-time system responses provided by wide area measurement system (WAMS) are used to construct such controllers which are uniquely tailored for the problems under consideration. In addition, the controller learning objective is formulated as a reward function that reflects global characteristics of the power system low frequency oscillation under the consideration of coupling effect among system components. The contribution of the paper includes a convergence proof of the direct HDP algorithm using an LQR framework, as well as case study to illustrate the proposed learning control algorithm. The case study aims at providing a new solution to a difficult large scale system coordination problem where the China Southern Power Grid is used for.","PeriodicalId":369729,"journal":{"name":"2014 American Control Conference","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131584288","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 sensor fault estimation and fault-tolerant control for uncertain Lipschitz nonlinear systems","authors":"Jian Zhang, A. Swain, S. Nguang","doi":"10.1109/ACC.2014.6858883","DOIUrl":"https://doi.org/10.1109/ACC.2014.6858883","url":null,"abstract":"This paper investigates the problem of fault estimation and fault tolerant control for a class of Lipschitz nonlinear systems, which are subjected simultaneously to sensor faults and uncertainties. By taking the sensor faults as auxiliary states, an augmented system is constructed. For this system, an unknown input observer (UIO) with ℋ∞ performance criterion is first developed to simultaneously estimate states and sensor faults. By using the state estimates obtained from the observer, a state-feedback controller is designed to compensate the effects of faults and to make the fault-tolerant control system asymptotically stable with the prescribed ℋ∞ performance. Based on linear matrix inequality (LMI) technique, algorithms are presented to compute the observer design matrices and controller gain. The effectiveness of the proposed observer and controller are illustrated by considering an example of a satellite control system. The results of the simulation demonstrate that the proposed schemes can successfully estimate sensor faults and guarantee the asymptotic stability of the resulting closed-loop system in the presence of uncertainties and sensor faults.","PeriodicalId":369729,"journal":{"name":"2014 American Control Conference","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131818014","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":"Markov jump linear system analysis of microgrid stability","authors":"M. Rasheduzzaman, Tamal Paul, J. Kimball","doi":"10.1109/ACC.2014.6859040","DOIUrl":"https://doi.org/10.1109/ACC.2014.6859040","url":null,"abstract":"In a typical microgrid, the power generation capacity is similar to the maximum total load. The low inertia of the system provides little margin for error in the power balance, both active and reactive, and requires rapid control response to load changes. In the present work, a microgrid is modeled as a Markov jump linear system (MJLS). An MJLS is a dynamic system with continuous states governed by one of a set of linear systems, and a continuous-time Markov process that determines which linear system is active. When the discrete state of the Markov process changes, there is a “jump” in the dynamics of the continuous states. In addition, the jump may be impulsive. The present work first explores impulsive MJLS stability. Conservative bounds on the expected value of the state are determined from a combination of the Markov process parameters, the dynamics of each linear system, and the magnitude of the impulses. Then the microgrid model is cast into the MJLS framework and stability analysis is performed. The conclusions are verified with detailed simulations.","PeriodicalId":369729,"journal":{"name":"2014 American Control Conference","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132934856","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":"Numerical methods for optimal control of heat exchangers","authors":"J. Burns, E. Cliff","doi":"10.1109/ACC.2014.6858959","DOIUrl":"https://doi.org/10.1109/ACC.2014.6858959","url":null,"abstract":"Heat exchangers are thermal fluid systems that are basic components in many industrial devices. Heat exchangers are modeled by coupled hyperbolic and parabolic partial differential equations and the structure of these equations depends on the geometry of the heat exchanger. In this paper we consider approximation methods for optimal control of a counter flow heat exchanger. We show the system is well-posed in standard product spaces and develop a numerical scheme based on averaging approximations (AVE scheme). Numerical examples are provided to illustrate the applicability of this scheme to both simulation and optimal control. We also discuss other schemes based on finite elements and suggest future areas of research.","PeriodicalId":369729,"journal":{"name":"2014 American Control Conference","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126589554","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":"An extended proportional-integral control algorithm for distributed average tracking and its applications in Euler-Lagrange systems","authors":"Fei Chen, G. Feng, Lu Liu, W. Ren","doi":"10.1109/ACC.2014.6858614","DOIUrl":"https://doi.org/10.1109/ACC.2014.6858614","url":null,"abstract":"Under an extended proportional-integral (PI) control scheme, distributed average tracking (DAT) control algorithms are derived for networked Euler-Lagrange systems for two different kinds of reference signals: reference signals with steady states and reference signals with bounded derivatives.","PeriodicalId":369729,"journal":{"name":"2014 American Control Conference","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125226243","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 of hybrid position/force engagement controller for dry dual clutch transmission without diaphragm spring","authors":"J. Oh, Seibum B. Choi","doi":"10.1109/ACC.2014.6858783","DOIUrl":"https://doi.org/10.1109/ACC.2014.6858783","url":null,"abstract":"This paper suggests a position/force hybrid controller for the dry dual clutch transmission actuators that provides accurate desired clutch normal force tracking performance and also dramatically reduces clutch-transferred torque fluctuation and wheel jerk during vehicle launch and gear shifts when compared to conventional position-based controllers. The proposed controller is composed of a multiple surface sliding mode controller with current estimation for the position-based control and feed-forward clutch normal force controller with clutch normal force estimation for force-based feedback control. Strategy to merge these controllers is suggested for effective actuator control both during the disengaged and engaged phases, which especially serves a significant advantage in clutch control for the system with minimal clutch engagement stroke designed for high actuation efficiency. In order to verify such advantage, the suggested controller is tested on the driveline model for dual clutch transmission and clutch actuators for the clutch system without diaphragm spring that are designed using MATLAB/Simulink. The simulation results reveal that accurate clutch normal force control with reduced jerk is possible even in the absence of the diaphragm spring.","PeriodicalId":369729,"journal":{"name":"2014 American Control Conference","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125231097","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}
M. Yu, Kevin McDonough, D. Bernstein, I. Kolmanovsky
{"title":"Retrospective cost model refinement for aircraft fault signature detection","authors":"M. Yu, Kevin McDonough, D. Bernstein, I. Kolmanovsky","doi":"10.1109/ACC.2014.6858876","DOIUrl":"https://doi.org/10.1109/ACC.2014.6858876","url":null,"abstract":"Retrospective cost model refinement is applied to on-board identification of a linearized aircraft model, and it is shown that with altitude and airspeed measurements, the aircraft stability derivatives can be estimated. These estimates are then compared to the nominal values at the same flight condition. The comparison between identified and nominal stability derivatives provides a fault signature. We also describe a methodology for updating the flight envelope based on identified stability derivatives.","PeriodicalId":369729,"journal":{"name":"2014 American Control Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130772028","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":"Effect of network topology on the controllability of voter model dynamics using biased nodes","authors":"Aravinda Ramakrishnan Srinivasan, S. Chakraborty","doi":"10.1109/ACC.2014.6859429","DOIUrl":"https://doi.org/10.1109/ACC.2014.6859429","url":null,"abstract":"This paper examines the effects of biased nodes on the voter model dynamics where each node is characterized by binary states si = ±1. For a fully connected graph, the master equation is shown to have the form of the Fokker-Planck equation, and necessary and sufficient conditions for the existence of a polynomial solution are investigated. Numerical simulations and analytical results are studied for a complete graph and the Erdös-Rényi network to reveal several interesting characteristics of the dynamical system. One of the key findings is that the equilibrium probability density of the network can be controlled by selecting the size of the influence groups. Population size, relative size of the biased groups, initial conditions and network parameters such as connection probabilities are discussed and their effects on the equilibrium probability density and time to convergence are investigated and reported.","PeriodicalId":369729,"journal":{"name":"2014 American Control Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130716021","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}