{"title":"A new mathematical model for the attitude control of a solar sail with spar-tip vanes","authors":"Bondapalli Akhilesh Prasad, J. Khoral","doi":"10.1109/CCA.2013.6662811","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662811","url":null,"abstract":"Solar sailing is a promising means of propulsion for space probes and satellites in the near future. Various methods for the control of the attitude and orbital motion of a solar sail have been proposed and thoroughly studied. One such method of control of a solar sail's attitude is through the means of spar-tip articulated vanes. The energy consumption of a solar sail's collective attitude control system is a major concern, and must be minimized for the better performance of the sail. A mathematical model has been developed and presented in this paper for vanes which are both sides reflective, and thus allow for continuous, uninhibited rotations. A novel optimization procedure (HypoTan) for the minimization of the energy expenditure of a maneuver for a solar sail whose attitude is controlled by four spar-tip vanes is also presented, and is applied to the mathematical model that is developed. Results are compared with the best existing technique of optimization proposed for a solar sail and the method presented in this paper gives consistently better results than the existing technique on the energy expenditure metric while providing equally satisfactory results as the existing technique in all other metrics.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128448835","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}
J. E. Hadef, Sorin Olaru, P. Rodríguez-Ayerbe, G. Colin, Y. Chamaillard, Vincent Talon
{"title":"Explicit nonlinear model predictive control of the air path of a turbocharged spark-ignited engine","authors":"J. E. Hadef, Sorin Olaru, P. Rodríguez-Ayerbe, G. Colin, Y. Chamaillard, Vincent Talon","doi":"10.1109/CCA.2013.6662746","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662746","url":null,"abstract":"Pollutant emissions and fuel economy objectives have led car manufacturers to develop innovative and more sophisticated engine layouts. In order to reduce time-to-market and development costs, recent research has investigated the idea of a quasi-systematic engine control development approach. Model based approaches might not be the only possibility but they are clearly predetermined to considerably reduce test bench tuning work requirements. In this paper, we present the synthesis of a physics-based nonlinear model predictive control law especially designed for powertrain control. A binary search tree is used to ensure real-time implementation of the explicit form of the control law, computed by solving the associated multi-parametric nonlinear problem.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"121 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128491742","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":"A two-compartment fractional derivative model for Propofol diffusion in anesthesia","authors":"D. Copot, Amélie Chevalier, C. Ionescu, R. Keyser","doi":"10.1109/CCA.2013.6662769","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662769","url":null,"abstract":"This paper presents the initial steps towards the development of a compartmental model for Propofol diffusion in the human body using concepts from fractional calculus. The model presented here preserves the mass balance, therefore it maintains the link between physiological and mathematical parameters. The final purpose of this model is to predict drug pharmacokinetics and pharmacodynamics during general anesthesia. A comparison of the proposed a fractional order model and the integer order compartmental model of Propofol shows good agreement between them.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116835412","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}
Donovan Esqueda-Merino, Alexandra Dubray-Demol, Sorin Olaru, E. Godoy, D. Dumur
{"title":"Energetic optimization of automotive thermal systems using mixed-integer programming and model predictive control","authors":"Donovan Esqueda-Merino, Alexandra Dubray-Demol, Sorin Olaru, E. Godoy, D. Dumur","doi":"10.1109/CCA.2013.6662762","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662762","url":null,"abstract":"One of the biggest shortcomings of Electric Vehicles (EV) is related to the range of their battery. This problem can become even more crucial while using some important features of the car, such as those regarding the thermal comfort of the cabin. While highly efficient systems such as heat pumps can be used to overcome this problem, their performance can yet be optimized if combined with some other thermal actuators. To this aim, this paper proposes a Mixed-Integer optimization strategy based on Model Predictive Control (MPC). The results give substantial gains using both linear and non-linear models.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115326040","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":"Actuator fault detection and isolation for diesel engines","authors":"B. Boulkroune, A. Aitouche, V. Cocquempot","doi":"10.1109/CCA.2013.6662747","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662747","url":null,"abstract":"This work addresses the issues of actuator fault detection and isolation for diesel engines. We are particularly interested to diagnosis faults affecting the Exhaust Gas Recirculation (EGR) and the variable Nozzle Turbine (VNT) actuator valves. To accomplish this goal, a residual generator based on a nonlinear mean value model of the diesel engine is proposed using a bank of observer. Each residual on the proposed scheme is based on a nonlinear unknown input observer and designed to be insensitive to only one fault. By using this kind of scheme, the actuator faults can be easily isolated since only one residual goes to zero while the others do not. A decision algorithm based on multi-CUSUM is used. The performances of the proposed approach are shown through the application to a diesel engine model.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125356402","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":"Iterative learning control based on 2D system theory for singular linear continuous-time systems","authors":"S. Alaviani","doi":"10.1109/CCA.2013.6662857","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662857","url":null,"abstract":"This paper presents iterative learning control (ILC) based on two-dimensional (2D) system theory for singular linear continuous-time systems. It is shown that the singular 2D linear continuous-discrete Roesser's model can be applied to describe the ILC process of singular linear continuous-time systems. Necessary and sufficient conditions are given for impulse-free convergence of the proposed ILC rules. Eventually, two numerical examples are given in order to show the results investigated.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124753184","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":"A distributed closed-loop probabilistic robust prioritized motion planning algorithm","authors":"Mangal Kothari, P. Sujit, I. Postlethwaite","doi":"10.1109/CCA.2013.6662753","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662753","url":null,"abstract":"This paper addresses the problem of large scale multi-agent motion planning in the presence of various uncertainties and under limited communication bandwidth. Obtaining an optimal solution while simultaneously addressing all the issues is a difficult problem. Towards this, we develop a decentralized motion planner that combines probabilistic approaches including the rapidly-exploring random tree (RRT), chance constraint, overlapping coefficient and birthday paradox. First, we use RRT along with the chance constraint approach to identify robust paths. Second, we use the overlapping coefficient technique to detect conflicts between multiple agent paths and third, we use the birthday paradox to detect conflicts between agents in a large team under communication bandwidth constraints. Finally, a priority based approach is employed to resolve conflicts. These steps are carried out sequentially. To manage the level of uncertainty in the path planner, we use a closed-loop system to predict future distributions. Our paper extends the prediction approach to nonlinear Gaussian systems. We describe details of integrating these techniques to create a complete framework for determining computationally efficient paths for large scale multi-agent systems under uncertainty.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"695 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131438743","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":"Intermittent bias and state filtering for linear systems subject to deception attacks in communication networks","authors":"D. Sauter, J. Keller","doi":"10.1109/CCA.2013.6662829","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662829","url":null,"abstract":"This paper presents a state filtering scheme for linear stochastic discrete-time systems subject to random deception attacks on the control signals of a controlled plant. When these attacks are detected inside the network and blocked with a one period time delay, we show that the state model of the plant viewed by the controller is affected by an intermittent bias of unknown initial condition. The intermittent bias and state filtering is obtained by treating the initial state of the intermittent bias as intermittent unknown inputs. The stochastic stability conditions of the proposed filter are established when the arrival binary sequence of attacks follows a Bernoulli random process.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131635819","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. Berkel, G. Vandersteen, H. Zwart, D. Hogeweij, M. Baar
{"title":"Maximum Likelihood Estimation of diffusion and convection in tokamaks using infinite domains","authors":"M. Berkel, G. Vandersteen, H. Zwart, D. Hogeweij, M. Baar","doi":"10.1109/CCA.2013.6662920","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662920","url":null,"abstract":"A new method to identify the spatial dependent parameters describing the heat transport, i.e. diffusion and convection, in fusion reactors is presented. These parameters determine the performance of fusion reactors. The method is based on local transfer functions, which are defined between two measurement locations. Estimation of the local transfer functions results in a model of the spatial dependent diffusion and convection. The parameters of the local transfer functions are estimated using Maximum Likelihood Estimation in the frequency domain. This is necessary, because both measurements (input and output of the transfer function) contain noise. Moreover, confidence bounds and validation tests can be used in this framework. Finally, experimental results are presented, which show that the diffusion and convection can be estimated. In this case, the uncertainty bounds are too large on the convection to conclude its presence.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125764834","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}
Hesam Odin Komari Alaei, A. Yazdizadeh, A. Aliabadi
{"title":"Nonlinear predictive controller design for load frequency control in power system using quasi Newton optimization approach","authors":"Hesam Odin Komari Alaei, A. Yazdizadeh, A. Aliabadi","doi":"10.1109/CCA.2013.6662828","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662828","url":null,"abstract":"Power plants are highly nonlinear systems demand a powerful identification method for prediction of their future values or for control applications. In this paper, a generalized predictive controller (GPC) is developed by neural network for application of power plants load-frequency. In this case, the identified model is characterized by nonlinear model structure based on neural network. The control objectives are to maintain the frequency within a desired range in the presence of load disturbance and governor parameters uncertainty. Based on the nonlinear model predictive control (NMPC), a controller is designed, with particular emphasis on an efficient quasi-Newton algorithm. Quasi newton optimization method is considered for update the inverse Hessian matrix for minimization of NMPC criteria. The algorithm is compared with common PID controller for reference tracking and disturbances rejection.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129687904","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}