Pub Date : 2018-06-01DOI: 10.23919/ECC.2018.8550597
H. Gritli, S. Belghith
The design of static output feedback (SOF) is of fundamental importance in control theory. This paper studies the SOF control problem of continuous-time linear systems subject to norm-bounded parametric uncertainties. New simple sufficient linear matrix inequality (LMI) conditions with a line search over a scalar variable for designing robust SOF controllers are proposed.We show that the new design method gives less conservative results than those available in the literature by inserting an equality constraint. Numerical examples are given to show the validity and superiority of our proposed method.
{"title":"New LMI Conditions for Static Output Feedback Control of Continuous-Time Linear Systems with Parametric Uncertainties","authors":"H. Gritli, S. Belghith","doi":"10.23919/ECC.2018.8550597","DOIUrl":"https://doi.org/10.23919/ECC.2018.8550597","url":null,"abstract":"The design of static output feedback (SOF) is of fundamental importance in control theory. This paper studies the SOF control problem of continuous-time linear systems subject to norm-bounded parametric uncertainties. New simple sufficient linear matrix inequality (LMI) conditions with a line search over a scalar variable for designing robust SOF controllers are proposed.We show that the new design method gives less conservative results than those available in the literature by inserting an equality constraint. Numerical examples are given to show the validity and superiority of our proposed method.","PeriodicalId":222660,"journal":{"name":"2018 European Control Conference (ECC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125143063","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}
Pub Date : 2018-06-01DOI: 10.23919/ECC.2018.8550121
J. M. Bravo, E. Cojocaru, M. Vasallo, T. Alamo
A new interval predictor for dynamical systems is presented in this work. The aim is to predict the future output of a dynamical system using a prediction model. This work focuses on predictors that return an interval bound. The interval prediction provides upper and lower bounds of the future system output. Given a set of input-output data of the dynamical system, the interval predictor is obtained using supporting hyperplanes of this set. An inner point of this interval can be used as point prediction. The main goodness of the proposed predictor is to provide a trade off between the width of the interval prediction and the prediction error of the point prediction. A design parameter can be used to balance both objectives. The work proposed a cross-validation methodology to tune this parameter. An example with real data is included to illustrate the proposed interval predictor.
{"title":"Interval Predictor based on Supporting Hyperplanes","authors":"J. M. Bravo, E. Cojocaru, M. Vasallo, T. Alamo","doi":"10.23919/ECC.2018.8550121","DOIUrl":"https://doi.org/10.23919/ECC.2018.8550121","url":null,"abstract":"A new interval predictor for dynamical systems is presented in this work. The aim is to predict the future output of a dynamical system using a prediction model. This work focuses on predictors that return an interval bound. The interval prediction provides upper and lower bounds of the future system output. Given a set of input-output data of the dynamical system, the interval predictor is obtained using supporting hyperplanes of this set. An inner point of this interval can be used as point prediction. The main goodness of the proposed predictor is to provide a trade off between the width of the interval prediction and the prediction error of the point prediction. A design parameter can be used to balance both objectives. The work proposed a cross-validation methodology to tune this parameter. An example with real data is included to illustrate the proposed interval predictor.","PeriodicalId":222660,"journal":{"name":"2018 European Control Conference (ECC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123579232","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}
Pub Date : 2018-06-01DOI: 10.23919/ECC.2018.8550405
O. Bachelier, T. Cluzeau
We use the algebraic analysis approach to multi- dimensional systems theory to study (wave) linear 2D discrete repetitive processes. In a previous work, we have proved that every linear 2D discrete repetitive process can be transformed into an equivalent (in the sense of algebraic analysis) explicit Roesser model. In the present paper we first investigate the conservation of the important notion of structural stability via this equivalence transformation. Then we extend the previous results to wave linear repetitive processes: we prove that such a general model can always be transformed into an equivalent implicit Roesser model which may be used to study stability properties of wave linear repetitive processes.
{"title":"Roesser form of (wave) linear repetitive processes and structural stability","authors":"O. Bachelier, T. Cluzeau","doi":"10.23919/ECC.2018.8550405","DOIUrl":"https://doi.org/10.23919/ECC.2018.8550405","url":null,"abstract":"We use the algebraic analysis approach to multi- dimensional systems theory to study (wave) linear 2D discrete repetitive processes. In a previous work, we have proved that every linear 2D discrete repetitive process can be transformed into an equivalent (in the sense of algebraic analysis) explicit Roesser model. In the present paper we first investigate the conservation of the important notion of structural stability via this equivalence transformation. Then we extend the previous results to wave linear repetitive processes: we prove that such a general model can always be transformed into an equivalent implicit Roesser model which may be used to study stability properties of wave linear repetitive processes.","PeriodicalId":222660,"journal":{"name":"2018 European Control Conference (ECC)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122032983","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}
Pub Date : 2018-06-01DOI: 10.23919/ECC.2018.8550296
Boštjan Dolenc, D. Vrančić, D. Vrecko, Ð. Juričić
The solid oxide fuel cells (SOFCs) represent a promising technology for sustainable power generation from hydrogen rich fuels with high efficiency of energy conversion. However, only a limited number of papers address the problem of on-line maximisation of the efficiency of SOFC operation. Optimal operating conditions are normally chosen either based on experience or by using elaborated models, which are not easy to obtain. Moreover, the process changes over time due to degradation, hence the model-based performance optimisation requires on-line model update. To avoid these problems, a model-free approach is proposed. It is realised in the form of a two-tier control structure where the low-level controllers take over control of the auxiliary units around the fuel cells, while the supervisory controller (SC) controller optimises the operation point of the system. The low-level controllers are conventional feed-forward feed-back controllers, while optimisation on the higher level is solved by using the extremum seeking approach. The proposed control system is demonstrated on a simulated 10 kW SOFC system showing reliable convergence, relative rise of efficiency up to 2% and easy design and maintenance.
{"title":"Maximizing the Electrical Efficiency of a Solid Oxide Fuel Cell System","authors":"Boštjan Dolenc, D. Vrančić, D. Vrecko, Ð. Juričić","doi":"10.23919/ECC.2018.8550296","DOIUrl":"https://doi.org/10.23919/ECC.2018.8550296","url":null,"abstract":"The solid oxide fuel cells (SOFCs) represent a promising technology for sustainable power generation from hydrogen rich fuels with high efficiency of energy conversion. However, only a limited number of papers address the problem of on-line maximisation of the efficiency of SOFC operation. Optimal operating conditions are normally chosen either based on experience or by using elaborated models, which are not easy to obtain. Moreover, the process changes over time due to degradation, hence the model-based performance optimisation requires on-line model update. To avoid these problems, a model-free approach is proposed. It is realised in the form of a two-tier control structure where the low-level controllers take over control of the auxiliary units around the fuel cells, while the supervisory controller (SC) controller optimises the operation point of the system. The low-level controllers are conventional feed-forward feed-back controllers, while optimisation on the higher level is solved by using the extremum seeking approach. The proposed control system is demonstrated on a simulated 10 kW SOFC system showing reliable convergence, relative rise of efficiency up to 2% and easy design and maintenance.","PeriodicalId":222660,"journal":{"name":"2018 European Control Conference (ECC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122098864","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}
Pub Date : 2018-06-01DOI: 10.23919/ECC.2018.8550174
G. Salavasidis, Athanasios Ch. Kapoutsis, S. Chatzichristofis, P. Michailidis, E. Kosmatopoulos
This research develops a new on-line trajectory planning algorithm for a team of Autonomous Underwater Vehicles (AUVs). The goal of the AUVs is to cooperatively explore and map the ocean seafloor. As the morphology of the seabed is unknown and complex, standard non-convex algorithms perform insufficiently. To tackle this, a new simulation-based approach is proposed and numerically evaluated. This approach adapts the Parametrized Cognitive-based Adaptive Optimization (PCAO) algorithm. The algorithm transforms the exploration problem to a parametrized decision-making mechanism whose real-time implementation is feasible. Upon that transformation, this scheme calculates off-line a set of decision making mechanism’s parameters that approximate the - non-practically feasible - optimal solution. The advantages of the algorithm are significant computational simplicity, scalability, and the fact that it can straightforwardly embed any type of physical constraints and system limitations. In order to train the PCAO controller, two morphologically different seafloors are used. During this training, the algorithm outperforms an unrealistic optimal-one-step-ahead search algorithm. To demonstrate the universality of the controller, the most effective controller is used to map three new morphologically different seafloors. During the latter mapping experiment, the PCAO algorithm outperforms several gradient-descent-like approaches.
{"title":"Autonomous Trajectory Design System for Mapping of Unknown Sea-floors using a team of AUVs","authors":"G. Salavasidis, Athanasios Ch. Kapoutsis, S. Chatzichristofis, P. Michailidis, E. Kosmatopoulos","doi":"10.23919/ECC.2018.8550174","DOIUrl":"https://doi.org/10.23919/ECC.2018.8550174","url":null,"abstract":"This research develops a new on-line trajectory planning algorithm for a team of Autonomous Underwater Vehicles (AUVs). The goal of the AUVs is to cooperatively explore and map the ocean seafloor. As the morphology of the seabed is unknown and complex, standard non-convex algorithms perform insufficiently. To tackle this, a new simulation-based approach is proposed and numerically evaluated. This approach adapts the Parametrized Cognitive-based Adaptive Optimization (PCAO) algorithm. The algorithm transforms the exploration problem to a parametrized decision-making mechanism whose real-time implementation is feasible. Upon that transformation, this scheme calculates off-line a set of decision making mechanism’s parameters that approximate the - non-practically feasible - optimal solution. The advantages of the algorithm are significant computational simplicity, scalability, and the fact that it can straightforwardly embed any type of physical constraints and system limitations. In order to train the PCAO controller, two morphologically different seafloors are used. During this training, the algorithm outperforms an unrealistic optimal-one-step-ahead search algorithm. To demonstrate the universality of the controller, the most effective controller is used to map three new morphologically different seafloors. During the latter mapping experiment, the PCAO algorithm outperforms several gradient-descent-like approaches.","PeriodicalId":222660,"journal":{"name":"2018 European Control Conference (ECC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122123221","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}
Pub Date : 2018-06-01DOI: 10.23919/ECC.2018.8550534
S. Galeani, M. Sassano
In this paper we address the output regulation problem for redundant plants, namely systems possessing more control inputs than regulated outputs, with focus on the specific opportunity and difficulty deriving from the additional inputs. The former consists in the fact that, having a wealth of input configurations achieving the same steady-state behavior, it is possible to optimize additional performance criteria while preserving the primary task of output regulation. The latter stems from the fact that the naive approach of replicating the required internal model of the exosystem on each input channel leads to loss of observability/detectability of the cascaded interconnection of the internal model and the plant, thus preventing the achievement of overall closed-loop stability: The main result of this paper consists in the design of an inner auxiliary control loop that allows to break the above conflict between advantages and drawbacks of redundant plants. The result is then revisited by exploiting the orthogonal moments of the plant at the exosystem’s frequencies. Differently from classic moments, which, for an asymptotically stable plant, describe the relation between inputs and steady-state output response, orthogonal moments characterize the input directions that yield zero steady-state output response at given frequencies.
{"title":"Output regulation for redundant plants via orthogonal moments","authors":"S. Galeani, M. Sassano","doi":"10.23919/ECC.2018.8550534","DOIUrl":"https://doi.org/10.23919/ECC.2018.8550534","url":null,"abstract":"In this paper we address the output regulation problem for redundant plants, namely systems possessing more control inputs than regulated outputs, with focus on the specific opportunity and difficulty deriving from the additional inputs. The former consists in the fact that, having a wealth of input configurations achieving the same steady-state behavior, it is possible to optimize additional performance criteria while preserving the primary task of output regulation. The latter stems from the fact that the naive approach of replicating the required internal model of the exosystem on each input channel leads to loss of observability/detectability of the cascaded interconnection of the internal model and the plant, thus preventing the achievement of overall closed-loop stability: The main result of this paper consists in the design of an inner auxiliary control loop that allows to break the above conflict between advantages and drawbacks of redundant plants. The result is then revisited by exploiting the orthogonal moments of the plant at the exosystem’s frequencies. Differently from classic moments, which, for an asymptotically stable plant, describe the relation between inputs and steady-state output response, orthogonal moments characterize the input directions that yield zero steady-state output response at given frequencies.","PeriodicalId":222660,"journal":{"name":"2018 European Control Conference (ECC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122231388","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}
Pub Date : 2018-06-01DOI: 10.23919/ECC.2018.8550326
Ole Alexer N. Eidsvik, Bent Oddvar Arnesen, I. Schjølberg
This paper presents the design of a novel low cost 4DOF fully electric subsea manipulator for small work class ROVs. The manipulator is designed to work on a wide range of typical observation class ROVs ranging from 5 kg and upwards. The small size makes the manipulator suitable to perform simple intervention tasks in addition to offering great mobility. The manipulator is designed to be completely modular. This again enables the arm to be reconfigured to fit size and performance requirement for a number of different applications. The functionality of the manipulator is tested in open water on a real ROV system. The manipulator performs remarkably. Despite the relative large size of the manipulator the overall response of the system is controlled and especially roll and pitch responses are smaller than one might expect. It is therefore shown that the hydrostatic restoring of the ROV is sufficient to stabilize the manipulator-ROV system without other sources of actuation.
{"title":"SeaArm-A Subsea Multi-Degree of Freedom Manipulator for Small Observation Class Remotely Operated Vehicles","authors":"Ole Alexer N. Eidsvik, Bent Oddvar Arnesen, I. Schjølberg","doi":"10.23919/ECC.2018.8550326","DOIUrl":"https://doi.org/10.23919/ECC.2018.8550326","url":null,"abstract":"This paper presents the design of a novel low cost 4DOF fully electric subsea manipulator for small work class ROVs. The manipulator is designed to work on a wide range of typical observation class ROVs ranging from 5 kg and upwards. The small size makes the manipulator suitable to perform simple intervention tasks in addition to offering great mobility. The manipulator is designed to be completely modular. This again enables the arm to be reconfigured to fit size and performance requirement for a number of different applications. The functionality of the manipulator is tested in open water on a real ROV system. The manipulator performs remarkably. Despite the relative large size of the manipulator the overall response of the system is controlled and especially roll and pitch responses are smaller than one might expect. It is therefore shown that the hydrostatic restoring of the ROV is sufficient to stabilize the manipulator-ROV system without other sources of actuation.","PeriodicalId":222660,"journal":{"name":"2018 European Control Conference (ECC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116995373","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}
Pub Date : 2018-06-01DOI: 10.23919/ECC.2018.8550351
Styliani Avraamidou, E. Pistikopoulos
Optimization problems involving a leader decision maker with multiple follower decision makers are referred to as bi-level multi-follower programming problems (BMF-P). In this work, we present novel algorithms for the exact and global solution of two classes of bi-level programming problems, namely (i) bi-level multi-follower mixed-integer linear programming problems (BMF-MILP) and (ii) bi-level multi-follower mixed-integer convex quadratic programming problems (BMF-MIQP) containing both integer and continuous variables at all optimization levels. Based on multi-parametric programming theory, the main idea is to recast the lower level, follower, problems as multi-parametric programming problems, in which the optimization variables of the upper level, leader, problem are considered as parameters for the lower level problems. The resulting exact multi-parametric mixed-integer linear or quadratic solutions are then substituted into the upper level problem, which can be solved as a set of single-level, independent, deterministic mixed-integer optimization problems. The proposed algorithm is applied for the solution of the challenging problem of planning and scheduling integration.
{"title":"A novel algorithm for the global solution of mixed-integer bi-level multi-follower problems and its application to Planning & Scheduling integration","authors":"Styliani Avraamidou, E. Pistikopoulos","doi":"10.23919/ECC.2018.8550351","DOIUrl":"https://doi.org/10.23919/ECC.2018.8550351","url":null,"abstract":"Optimization problems involving a leader decision maker with multiple follower decision makers are referred to as bi-level multi-follower programming problems (BMF-P). In this work, we present novel algorithms for the exact and global solution of two classes of bi-level programming problems, namely (i) bi-level multi-follower mixed-integer linear programming problems (BMF-MILP) and (ii) bi-level multi-follower mixed-integer convex quadratic programming problems (BMF-MIQP) containing both integer and continuous variables at all optimization levels. Based on multi-parametric programming theory, the main idea is to recast the lower level, follower, problems as multi-parametric programming problems, in which the optimization variables of the upper level, leader, problem are considered as parameters for the lower level problems. The resulting exact multi-parametric mixed-integer linear or quadratic solutions are then substituted into the upper level problem, which can be solved as a set of single-level, independent, deterministic mixed-integer optimization problems. The proposed algorithm is applied for the solution of the challenging problem of planning and scheduling integration.","PeriodicalId":222660,"journal":{"name":"2018 European Control Conference (ECC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124546390","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}
Pub Date : 2018-06-01DOI: 10.23919/ECC.2018.8550442
Marwa Elloumi, M. Ghamgui, D. Mehdi, F. Tadeo, M. Chaabane
This paper deals with the problem of stability and stabilization of two-dimensional (2D) discrete stochastic Fornasini-Marchesini (FM) second model. The proposed results are presented in a Linear Matrix Inequality (LMI) framework. A mean square asymptotic stablilty condition is elaborated through the use of the Leibniz-Newton formula with additional free weighting matrices. Moreover, a sufficient condition is established for the design of a state feedback controller that ensures the mean square stability of the closed loop system. In order to illustrate the effectiveness of the proposed approach, numerical examples have been given.
{"title":"Stability and Stabilization of 2D Discrete Stochastic Fornasini-Marchesini Second Model","authors":"Marwa Elloumi, M. Ghamgui, D. Mehdi, F. Tadeo, M. Chaabane","doi":"10.23919/ECC.2018.8550442","DOIUrl":"https://doi.org/10.23919/ECC.2018.8550442","url":null,"abstract":"This paper deals with the problem of stability and stabilization of two-dimensional (2D) discrete stochastic Fornasini-Marchesini (FM) second model. The proposed results are presented in a Linear Matrix Inequality (LMI) framework. A mean square asymptotic stablilty condition is elaborated through the use of the Leibniz-Newton formula with additional free weighting matrices. Moreover, a sufficient condition is established for the design of a state feedback controller that ensures the mean square stability of the closed loop system. In order to illustrate the effectiveness of the proposed approach, numerical examples have been given.","PeriodicalId":222660,"journal":{"name":"2018 European Control Conference (ECC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124645053","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}
Pub Date : 2018-06-01DOI: 10.23919/ECC.2018.8550106
A. Bafandeh, C. Vermillion
Airborne wind energy (AWE) systems replace the tower and foundation of contemporary wind turbines with tethers and a lifting body. This enables AWE systems to adjust their operating altitudes to deliver the greatest amount of net energy possible. However, determining the optimal operating altitude requires knowledge of the wind speed vs. altitude (wind shear) profile, leading to a tradeoff between exploration and exploitation. In this work, we consider an integrated AWEbattery-generator system in which it is possible to explore the domain of admissible altitudes during periods of low load demand and exploit the best altitude at other times. Specifically, we propose and evaluate four candidate hierarchical structures, based on a globalized Lyapunov-based switched extremum seeking (G-LSES) control structure, for control of the integrated system. We present simulation-based results that are based on actual wind speed and load demand data.
{"title":"Optimal Altitude Control of an Integrated Airborne Wind Energy System with Globalized Lyapunov-based Switched Extremum Seeking","authors":"A. Bafandeh, C. Vermillion","doi":"10.23919/ECC.2018.8550106","DOIUrl":"https://doi.org/10.23919/ECC.2018.8550106","url":null,"abstract":"Airborne wind energy (AWE) systems replace the tower and foundation of contemporary wind turbines with tethers and a lifting body. This enables AWE systems to adjust their operating altitudes to deliver the greatest amount of net energy possible. However, determining the optimal operating altitude requires knowledge of the wind speed vs. altitude (wind shear) profile, leading to a tradeoff between exploration and exploitation. In this work, we consider an integrated AWEbattery-generator system in which it is possible to explore the domain of admissible altitudes during periods of low load demand and exploit the best altitude at other times. Specifically, we propose and evaluate four candidate hierarchical structures, based on a globalized Lyapunov-based switched extremum seeking (G-LSES) control structure, for control of the integrated system. We present simulation-based results that are based on actual wind speed and load demand data.","PeriodicalId":222660,"journal":{"name":"2018 European Control Conference (ECC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124972830","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：