{"title":"Switching-stable control mechanism in the presence of guaranteed detectable sensor faults","authors":"A. Kodakkadan, V. Reppa, Sorin Olaru","doi":"10.1109/SYSTOL.2016.7739734","DOIUrl":"https://doi.org/10.1109/SYSTOL.2016.7739734","url":null,"abstract":"This paper deals with the design and analysis of a switching stable control reconfiguration mechanism for compensating the effects of the abnormal functioning of sensors on the closed-loop system operation. Robust positive invariance based approach is followed aiming at detecting and isolating faults in the sensors. The main objective of the paper is to guarantee the fault detection, and isolation of the faulty sensors, which are switched off from the feedback control scheme in order to use only the healthy sensors. A parametrized controller is used to ensure the stability of the closed-loop system during switching satisfying a desired performance. Simulation results are used to illustrate the efficiency of the proposed active fault tolerant control scheme in preserving switching stability.","PeriodicalId":223249,"journal":{"name":"2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115266034","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 predictive control of temperature in long duct using specially designed neural model","authors":"M. Lawrynczuk","doi":"10.1109/SYSTOL.2016.7739764","DOIUrl":"https://doi.org/10.1109/SYSTOL.2016.7739764","url":null,"abstract":"This paper describes a nonlinear Model Predictive Control (MPC) algorithm for a distributed parameter thermal system (a long duct). For prediction a specially designed neural model of the process is used. The model consists of a set of local neural sub-models, which calculate temperatures for a number of predefined locations of sensors, and a neural interpolator, which calculates the temperature for any sensor location. In order to obtain a computationally simple MPC scheme, the predicted output trajectory of the process is linearised on-line which leads to a quadratic optimisation MPC problem. It is shown that due to nonlinearity of the process, the classical MPC algorithm based on linear models is unable to give satisfactory control quality whereas the described nonlinear MPC algorithm leads to good control performance. The paper also studies the effect of model pruning (removing some of the sub-models) on the performance of MPC.","PeriodicalId":223249,"journal":{"name":"2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122500438","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":"Characterization of the minimum detectable fault of interval observers by using set-invariance theory","authors":"M. Pourasghar, V. Puig, C. Ocampo‐Martinez","doi":"10.1109/SYSTOL.2016.7739732","DOIUrl":"https://doi.org/10.1109/SYSTOL.2016.7739732","url":null,"abstract":"This paper addresses the characterization of the minimum detectable fault when using interval observers. The interval observers consider both input and uncertainty as unknown but bounded. The minimum detectable fault using interval observers is characterized by means of residual sensitivity and invariant sets. The design of such observers is performed by using zonotopic-set representations. The mathematical expression of the minimum magnitude of the fault that can be detected is derived for a given type of faults in separate formulations. Finally, a simulation example is employed to illustrate and discuss the effectiveness of the obtained results.","PeriodicalId":223249,"journal":{"name":"2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125076135","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":"Adaptive control of a civil aircraft through on-line parameter estimation","authors":"G. Ferreres, G. Hardier, C. Seren","doi":"10.1109/SYSTOL.2016.7739845","DOIUrl":"https://doi.org/10.1109/SYSTOL.2016.7739845","url":null,"abstract":"An adaptive gain-scheduled flight control law is designed for a transport aircraft, within the context of the European project RECONFIGURE. A primary concern being on-line implementation, a recursive frequency domain estimator of the linearized aerodynamic model is developed, with a low on-line computational burden and the capability to track time-varying parameters. Next, an LFT flight controller is synthesized using a state-space modal technique, which depends on the model parameters to be estimated. Since the LFT controller online depends on the parameter estimates instead of the true values, its robustness to estimation errors needs to be assessed using μ and IQC analysis techniques. Full nonlinear simulations along a trajectory validate the good performance properties of the combined estimator and gain-scheduled flight controller.","PeriodicalId":223249,"journal":{"name":"2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126012805","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":"Photovoltaic module health monitoring and degradation assessment","authors":"N. Laayouj, H. Jamouli, M. El Hail","doi":"10.1109/SYSTOL.2016.7739812","DOIUrl":"https://doi.org/10.1109/SYSTOL.2016.7739812","url":null,"abstract":"All industrial systems or machines are subjected to degradation processes which can be related to the operating conditions. This degradation can cause unwanted stops and the need of urgent maintenance at any time. Prognostics activity is now recognized as a key feature in maintenance strategies and conditional based maintenance, it gives to operators a potent tool in decision making by quantifying how much time is left until functionality is lost. The reason is to plan the heavy interventions and to manage the stock of spare parts. In addition, it can be used for degradation assessment and Remaining useful life (RUL) estimation. In this paper, we will develop a new smart prognostics method for photovoltaic module health degradation, which is based on online diagnosis and data-driven prognosis to achieve more accurate predictions. This framework of forecasting integrates the strengths of real time monitoring in the first approach and Relevant Vector Machine in the second. The results show that the proposed method is plausible due to the good prediction of RUL, and can be effectively applied to many systems for monitoring and prognosis.","PeriodicalId":223249,"journal":{"name":"2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125577025","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":"Multiobjective interval observer via LMI techniques for fault detection","authors":"N. Ellero, D. Gucik-Derigny, D. Henry","doi":"10.1109/SYSTOL.2016.7739796","DOIUrl":"https://doi.org/10.1109/SYSTOL.2016.7739796","url":null,"abstract":"This paper proposes a robust fault detection method based on interval observer design. This method offers the advantage of being robust against disturbances, measurement noises, uncertain parameters and unknown inputs. The optimization framework is used to reduce the conservatism of the interval-based approach. The design of the observer parameters is formulated using the Linear Matrix Inequality technique and it is shown how some extra LMI specifications can be judiciously formulated to ensure a minimum sensitivity level to the fault. Finally, the actuator fault detection of an atmospheric re-entry vehicle provides a test to demonstrate the efficiency of the proposed method.","PeriodicalId":223249,"journal":{"name":"2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114137775","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":"Fault tolerant control system based on subspace predictive control and multiple model predictive control","authors":"Zukun Qu, B. Dahhou, G. Roux","doi":"10.1109/SYSTOL.2016.7739834","DOIUrl":"https://doi.org/10.1109/SYSTOL.2016.7739834","url":null,"abstract":"A fault tolerant control system is proposed using a recursive subspace predictive control and multiple model predictive control, which combines off-line projection-based method and on-line redesign method. Actuator faults are considered. For anticipated situations including normal state and occurrences of different faults, stable controller corresponding to each situation is designed off-line using model predictive control method with fixed parameters, and adaptive subspace model predictive control method play a key role in on-line controller redesign. A switching mechanism is proposed for the global fault tolerant control system. A simulation example is used to illustrate the efficacy of the proposed approach.","PeriodicalId":223249,"journal":{"name":"2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126534767","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":"Guaranteed state estimation and fault detection based on zonotopes for differential-algebraic-equation systems","authors":"Ye Wang, V. Puig, G. Cembraño, T. Alamo","doi":"10.1109/SYSTOL.2016.7739795","DOIUrl":"https://doi.org/10.1109/SYSTOL.2016.7739795","url":null,"abstract":"This paper presents a set-membership approach based on zonotopes for differential-algebraic-equation (DAE) systems with unknown-but-bounded disturbances and noise, which can be subsequently used for guaranteed state estimation and fault detection. Complex systems are usually modeled by differential and algebraic equations, where differential equations describe system dynamics and additionally, algebraic equations represent the static relations. The proposed algorithm provides a way to propagate a zonotopic set that contains the system states not only consistent with the measurement outputs but also constrained with their static relations. Finally, a real application has been presented to verify the proposed approach.","PeriodicalId":223249,"journal":{"name":"2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121998159","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":"Sensor location for fault accommodation problem","authors":"A. Zhirabok, A. Shumsky, A. Zuev, E. Bobko","doi":"10.1109/SYSTOL.2016.7739848","DOIUrl":"https://doi.org/10.1109/SYSTOL.2016.7739848","url":null,"abstract":"The problem of sensor location for fault accommodation problem in nonlinear dynamic systems is considered. Solution of the problem is related to constructing the control law which provides full decoupling with respect to fault effects. The logic-dynamic approach is used to solve the problem. The main features of this approach are: it involves known linear methods that results in possibility to solve the fault accommodation problem by existing programming systems without using the symbolic software and it can be applied both to discrete-time and continuous-time systems. Existing conditions are formulated and calculating relations are given for the control law. Theoretical results are illustrated by example.","PeriodicalId":223249,"journal":{"name":"2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128104366","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":"Sensor placement algorithm for distributed fault diagnosis","authors":"Vikas Gupta, V. Puig","doi":"10.1109/SYSTOL.2016.7739840","DOIUrl":"https://doi.org/10.1109/SYSTOL.2016.7739840","url":null,"abstract":"In this paper, an algorithm for sensor placement for distributed fault diagnosis is proposed. The main objective of this algorithm is to place the sensors in a system in such a manner that the partition of a system into various subsystems becomes easier facilitating the implementation of a distributed fault diagnosis system. This algorithm also reduces or minimized the number of sensors to be used or install thus reducing overall cost. Binary integer linear programming is used for optimization in this algorithm. A four water tank system has been used to demonstrate and validate the proposed algorithm.","PeriodicalId":223249,"journal":{"name":"2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130648861","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}