H. M. Paiva, Igor Luppi de Oliveira, Gabriele Fernandes Garcia
{"title":"Fault detection in a 3-DOF laboratory helicopter using wavelet packets and subspace identification in frequency subbands","authors":"H. M. Paiva, Igor Luppi de Oliveira, Gabriele Fernandes Garcia","doi":"10.1109/MED48518.2020.9183076","DOIUrl":"https://doi.org/10.1109/MED48518.2020.9183076","url":null,"abstract":"This paper proposes a wavelet-packet approach for fault detection using subspace identification. The wavelet-packet decomposition tree is used to define the frequency subbands at which the plant models are created. The best decomposition tree is chosen by using a dynamic programming algorithm that achieves a trade-off between accuracy and parsimony. A recently published framework is adopted to allow for the identification of subband models with a subspace approach. The proposed technique is validated with experimental data acquired with a Quanser™ 3-DOF laboratory helicopter and presents better results than those of a standard time-domain fault-detection technique.","PeriodicalId":418518,"journal":{"name":"2020 28th Mediterranean Conference on Control and Automation (MED)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116402138","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":"Robustness of Model Predictive Control Using a Novel Tuning Approach Based on Artificial Neural Network","authors":"Houssam Moumouh, N. Langlois, Madjid Haddad","doi":"10.1109/MED48518.2020.9183204","DOIUrl":"https://doi.org/10.1109/MED48518.2020.9183204","url":null,"abstract":"A successful implementation of Model Predictive Control (MPC) requires appropriately tuned parameters. This paper presents a novel tuning approach based on Artificial Neural Network (ANN). To build the data learning base of the ANN, we adopted the Particle Swarm Optimisation (PSO) method, and we used the reliable algorithm, Online Sequential Extreme-Learning-Machine (OS-ELM) to learn the ANN. The objective of this work is to show that good tuning of MPC parameters makes it possible to reach closed-loop stability and ensure robustness against disturbances and sensor noises, without using robustification approaches in addition to MPC. The effectiveness of our approach is brought to light by comparing the obtained performances to other MPC tuning approaches without disturbances, and also to a robustified Generalized Predictive Control (GPC) using Youla parametrisation in the presence of disturbances.","PeriodicalId":418518,"journal":{"name":"2020 28th Mediterranean Conference on Control and Automation (MED)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125957593","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":"Filtration Duration and Errors in Finite-Frequency Identification","authors":"D. V. Shatov","doi":"10.1109/MED48518.2020.9183009","DOIUrl":"https://doi.org/10.1109/MED48518.2020.9183009","url":null,"abstract":"The paper is devoted to analysis of filtration errors in finite-frequency identification. We consider a linear control plant subject to action of an external disturbance, which is assumed to be a bounded function. The finite-frequency identification allows us to find estimates of this plant's parameters. It uses special integral filters (Fourier filters), that find estimates of the plant frequency response at specific frequencies. There are known estimates of convergence rate of Fourier filters errors, which we use as a basis to propose a new approach to determine the duration of identification. The proposed method is based on a special linear programming problem, the solution of which gives us two parameters: an estimate of the filter value and a parameter that describes the rate of the filter error convergence. The last one is used for duration determination. We develop corresponding filtration algorithm and give certain consideration to its accuracy. An illustrative example is presented.","PeriodicalId":418518,"journal":{"name":"2020 28th Mediterranean Conference on Control and Automation (MED)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124045370","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":"Continuous-Time Deterministic Policy Gradient-Based Controller for Morphing Aircraft without Exploration*","authors":"Seong-hun Kim, Hanna Lee, Youdan Kim","doi":"10.1109/MED48518.2020.9183206","DOIUrl":"https://doi.org/10.1109/MED48518.2020.9183206","url":null,"abstract":"A controller is optimized using limited flight data of morphing aircraft without dynamic model. Due to the nonlinear and nonaffine in control nature of the morphing aircraft dynamics, the integral reinforcement learning scheme and the deterministic policy gradient-based learning method are incorporated to develop to train the parameterized control input. The stability of the learnt control input is analyzed when the corresponding action-value function is converged. Unlike online algorithms, the parameters in the control input is hard to converge, and therefore a constrained learning strategy is implemented. The performance of the proposed method is demonstrated through numerical simulation for a longitudinal morphing aircraft system.","PeriodicalId":418518,"journal":{"name":"2020 28th Mediterranean Conference on Control and Automation (MED)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121460428","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}
G. B. H. Frej, X. Moreau, Emna Hamrouni, André Benine-Neto, V. Hernette
{"title":"A Multi-Modes Semi-Active Suspension Control Strategy for Peugeot 308 RCZ Vehicle","authors":"G. B. H. Frej, X. Moreau, Emna Hamrouni, André Benine-Neto, V. Hernette","doi":"10.1109/MED48518.2020.9183384","DOIUrl":"https://doi.org/10.1109/MED48518.2020.9183384","url":null,"abstract":"In this paper, a new semi-active suspension control strategy is proposed for the Peugeot 308 RCZ vehicle. The aim of this study is to automate transition between the two modes of suspension based on nonlinear damping laws and using a variable damper. By minimizing a quadratic gap between a control target and the control actuation force issued from each mode, a decision strategy is defined and a suspension mode is selected, so that the variable damper can achieve it by controlling the actuation force. The used control target is synthesized using CRONE-SkyHook approach. Simulation results show that the requirements in terms of passenger comfort and vehicle stability are reached applying the proposed control strategy.","PeriodicalId":418518,"journal":{"name":"2020 28th Mediterranean Conference on Control and Automation (MED)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127707573","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":"Observer-based closed-loop estimation of tunneling current parameters with experimental application","authors":"G. Besançon, A. Voda, A. Popescu","doi":"10.1109/MED48518.2020.9183210","DOIUrl":"https://doi.org/10.1109/MED48518.2020.9183210","url":null,"abstract":"This paper proposes an observer-based approach towards parameter estimation for tunneling current modeling. Since getting and using tunneling current strongly rely on feedback control, a first study on possible closed-loop operation without knowing tunneling current parameters is first provided. Then, owing to this possible closed-loop configuration, the proposed estimation approach is presented. Some application results finally illustrate the methodology with experimental data taken from an STM-like prototype.","PeriodicalId":418518,"journal":{"name":"2020 28th Mediterranean Conference on Control and Automation (MED)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127533707","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":"The Detection of the Rotor Temperature in an Induction Machine Based on a Neural Network with Particle Filtering","authors":"Razvan Mocanu, A. Onea","doi":"10.1109/MED48518.2020.9183354","DOIUrl":"https://doi.org/10.1109/MED48518.2020.9183354","url":null,"abstract":"This paper introduces a method for estimating the temperature of the rotor of an Induction Machine (IM) based on a feed-forward neural network used as an observation function within a particle filter. The temperature of the stator case is measured and the information is used as an input to a feed-forward network. The state transition function is a thermal model with first-order dynamics. The set-point temperature is computed out of the rotor current, stator current and angular speed. Experimental data is used from a real IM test bench and the results prove the applicability and good performances.","PeriodicalId":418518,"journal":{"name":"2020 28th Mediterranean Conference on Control and Automation (MED)","volume":"207 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126978795","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}
A.-C. Braitor, G. Konstantopoulos, V. Kadirkamanathan
{"title":"Novel droop control design for overvoltage protection of DC microgrids with a constant power load","authors":"A.-C. Braitor, G. Konstantopoulos, V. Kadirkamanathan","doi":"10.1109/MED48518.2020.9182891","DOIUrl":"https://doi.org/10.1109/MED48518.2020.9182891","url":null,"abstract":"A novel droop controller for DC microgrid systems, consisting of multiple paralleled sources feeding a constant power load (CPL), is proposed to achieve the desired voltage regulation and accurate load power distribution, while ensuring an overvoltage protection for each source. CPLs are well-known to exhibit negative impedance characteristic due to their nonlinear behaviour, which may cause instability to a DC microgrid if the necessary impedance inequality criteria are not satisfied. In this paper, a new droop control scheme is proposed to limit the voltage of each source below a desired bound, achieve tight voltage regulation and power sharing, and guarantee closed-loop system stability with the existence of a CPL. The upper limit of the voltage of each source is rigorously proven using ultimate boundedness theory, while after a suitable manipulation of the admittance matrix of the microgrid, analytic conditions of stability are obtained to guide the control parameters design. To validate the theoretical design and analysis, a detailed simulation is performed of a DC microgrid equipped with the proposed controller.","PeriodicalId":418518,"journal":{"name":"2020 28th Mediterranean Conference on Control and Automation (MED)","volume":"106 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130644973","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 Economic Model Predictive Control of Water Transport Networks","authors":"Khoury Boutros, V. Puig, F. Nejjari","doi":"10.1109/MED48518.2020.9183011","DOIUrl":"https://doi.org/10.1109/MED48518.2020.9183011","url":null,"abstract":"In this paper, a robust economic model predictive controller is proposed for a water transport network. Considering that forecast of demand is required in the drinking water network (DWN) for future predictions of states in the MPC formulation, robustification of the proposed controller is undertaken considering demand uncertainties as unknown but bounded in a zonotopic set. Based on this uncertainty description, a robust MPC controller is designed that ensures that robust constraint satisfaction, stability and performance under uncertainties is guaranteed. The proposed approach is satisfactorily tested in a part of the Barcelona water transport network.","PeriodicalId":418518,"journal":{"name":"2020 28th Mediterranean Conference on Control and Automation (MED)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128204589","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":"Emergency resource allocation problem: hazardous material accident scenarios in the ports of Northern Italy","authors":"C. Bersani, R. Sacile, A. Tomasoni, Enrico Zero","doi":"10.1109/MED48518.2020.9183135","DOIUrl":"https://doi.org/10.1109/MED48518.2020.9183135","url":null,"abstract":"The resource allocation problem in case of emergency management represents a serious theme especially in the last years, when the occurrence of industrial disasters has become more frequent. Special attention has to be given to the emergency management in case of maritime or port accidents which involve hazardous material above all in MED cities where the seaport are part of the urban areas. The main challenge in emergency management is to define the optimal allocation of the available resources in timing and space in order to tackle, to mitigate and to recover effectively the hazardous event. In this paper, an optimal allocation problem has been formalized as a mathematical programming problem. The proposed model takes into account the dynamic of the first responders' availability at each node and the dynamic behavior of the hazard event to be faced. The problem minimizes the objective function that is the combination of resource allocation, damages, and transfer costs. The resources refer to extinguishing powers which may be generated by the fire fighters' teams of the fire stations available at each node of the network in a cooperative emergency management prospective. The model has been tested on a case study that concerns the simultaneous occurrence of two hazardous materials accidents in two ports located in Northern Italy.","PeriodicalId":418518,"journal":{"name":"2020 28th Mediterranean Conference on Control and Automation (MED)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132937925","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}