Mohammed Zinelaabidine Ghellab, Samir Zeghlache, Abderrahmen Bouguerra
{"title":"Real time implementation of fuzzy gain-scheduled PID controller for twin rotor MIMO system (TRMS)","authors":"Mohammed Zinelaabidine Ghellab, Samir Zeghlache, Abderrahmen Bouguerra","doi":"10.18280/AMA_C.730403","DOIUrl":"https://doi.org/10.18280/AMA_C.730403","url":null,"abstract":"The work has done in this paper concern a strategy of control based on gain adaptive proportional integral derivative (PID) using the fuzzy inference system and their application to the Twin Rotor MIMO System (TRMS), the PID controller with fixed parameters may fail to provide acceptable control performance. To improve the PID control effect, new designs of the fuzzy gain Scheduled PID controller (FGSPID) were presented in this paper. The proposed techniques were applied to the TRMS, where adaptive PID controllers were proposed for control system in the presence of external disturbances. The parameters of PID controller were adjusted by a fuzzy system, used to tune in real-time the controller gain. The obtained simulation and experiment results show that the robustness of TRMS angles (pitch and yaw) driven by proposed controller are guaranteed.","PeriodicalId":130983,"journal":{"name":"Advances in Modelling and Analysis C","volume":"382 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122859194","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 simple linear quadratic regulator (LQR) approach for active stabilization of mini rotors due to spinning dissipation","authors":"A. Mukherjee, Satyabrata Das","doi":"10.18280/ama_c.730406","DOIUrl":"https://doi.org/10.18280/ama_c.730406","url":null,"abstract":"Destabilizing effects due to rotating damper’s in a gyrating or spinning systems is a very common phenomenon. Rotor’s at speed higher than certain threshold values become unstable due to rotating damping forces generated by dissipation in rotor materials, coupling or due to friction in spline’s and tool tip’s. Presently the current methods are mostly passive and suitable for large or medium size rotor’s but not quite applicable for small, mini or micro rotor systems. This paper uses an alternative technique to stabilize rotors of any size and description. The authors propose a piezo electrical type of actuating system for applying damping force to the rotating shaft by implementing a smart embedded coupling which rotates along with the rotor. The stabilization control was implemented by designing a simple state feedback Linear Quadratic Regulator whose gains were determined and applied to the rotor shaft through proposed smart embedded coupling.","PeriodicalId":130983,"journal":{"name":"Advances in Modelling and Analysis C","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131795925","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":"H∞ control oriented LFT modelling of linear dynamical system","authors":"Tamal Roy, R. K. Barai, R. Dey","doi":"10.18280/ama_c.730408","DOIUrl":"https://doi.org/10.18280/ama_c.730408","url":null,"abstract":"This paper presents a systematic formulation of control-oriented linear fractional transformation (LFT) modelling of the linear dynamical system, truly integrates the objective of control theory. A novel methodology has been introduced for modeling quality improvement to achieve certain performance specification considering the modeling uncertainties arising due to the difference between the mathematical model and the actual system and the presence of disturbance signal during the formulation of LFT framework. For the convenience of compact modelling, the generalized transfer function of the linear dynamical system has been represented into the LFT framework by incorporating the real parametric uncertainties enter rationally into the system modelling. The generalized LFT modeling algorithm is convenient to address the issues like identifiability and persistence of excitation for a huge class of system model structures can be accommodated because of its general nature. The proposed modelling algorithm has been applied to a benchmarked industrial mechatronics system, to verify the effectiveness of control theory.","PeriodicalId":130983,"journal":{"name":"Advances in Modelling and Analysis C","volume":"413 18","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120930387","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}
H. Mekki, A. Djerioui, Samir Zeghlache, Abderrahmen Bouguerra
{"title":"Robust adaptive control of coaxial octorotor UAV using type-1 and interval type-2 fuzzy logic systems","authors":"H. Mekki, A. Djerioui, Samir Zeghlache, Abderrahmen Bouguerra","doi":"10.18280/AMA_C.730405","DOIUrl":"https://doi.org/10.18280/AMA_C.730405","url":null,"abstract":"In this paper, a robust controller for a Six Degrees of Freedom (6 DOF) coaxial octorotor unmanned aerial vehicle (UAV) control is proposed in presence of the disturbances and uncertainties. Adaptive control theory based on type-1 and interval type-2 Fuzzy inference systems is used to design a controller for each subsystem of the octorotor helicopter. The proposed control scheme allows avoiding the difficult modeling, guaranteeing the stability and the robustness of the system. Exponential stability of the closed loop is guaranteed by using Lyapunov theory. The performance and the effectiveness of the proposed controller, simulation results are confirmed by simulation study.","PeriodicalId":130983,"journal":{"name":"Advances in Modelling and Analysis C","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127762405","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":"Pareto optimal solutions for fractional multi-objective optimization problems using MATLAB","authors":"Tarek H. M. Abou-El-Enien","doi":"10.18280/AMA_C.730303","DOIUrl":"https://doi.org/10.18280/AMA_C.730303","url":null,"abstract":"The purpose of this paper is to generate numerical Pareto optimal solutions for fractional multi-objective optimization (FMO) problems based on the Charens Cooper transformation method and the weighting method using MATLAB (R2014a). I introduce a MATLAB code and a numerical hybrid algorithm for solving FMO problems. Also, i give an illustrative numerical example to clarify the main results developed in this paper. The hand solution of the numerical example and the solution by the code give the same results. The scientists and the engineers can apply the introduced code and the numerical hybrid algorithm to different practical FMO problems to obtain numerical solutions.","PeriodicalId":130983,"journal":{"name":"Advances in Modelling and Analysis C","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130966989","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":"Reduction of real power loss by upgraded red shaver swarm optimization algorithm","authors":"K. Lenin","doi":"10.18280/AMA_C.730302","DOIUrl":"https://doi.org/10.18280/AMA_C.730302","url":null,"abstract":"In this paper, an upgraded Red Shaver swarm Optimization (RS) algorithm is proposed for solving reactive power problem. Under cockerel as group-mate Red Shaver explores food; also it prevents the same ones to eat their own food. Red Shaver would arbitrarily pinch the high-quality food which has been already found by other Red Shaver & always overriding other individuals to grab more food. In the Projected upgraded Red Shaver swarm Optimization (RS) algorithm additional parameters of cockerel, hens and chicks are eliminated, in order to upsurge the search towards global optimization solution. Proposed Upgraded Red Shaver swarm Optimization (RS) algorithm has been tested in standard IEEE 30 bus system. Simulation results show clearly the better performance of the proposed RS algorithm in reduction of real power loss.","PeriodicalId":130983,"journal":{"name":"Advances in Modelling and Analysis C","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117019277","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":"Analysis of Math function based controller combined with PID for solar-powered electric vehicle","authors":"Raghavaiah Katuri, S. Gorantla","doi":"10.18280/ama_c.730306","DOIUrl":"https://doi.org/10.18280/ama_c.730306","url":null,"abstract":"Hybrid Energy Storage System (HESS) powered electric vehicles (EVs)/ hybrid electric vehicles (HEVs) have its own advantages than single power source fed EVs/HEVs. The battery and ultracapacitor (UC) combination forms the HESS, battery always acts as the main source whereas UC full fill the auxiliary power sources requirement by supporting the battery during transient and starting period of the electric vehicle. In any HESS powered electric vehicle, smooth transition between the energy sources is the major obstacle according to the vehicle dynamics. The main aim of this work is to design a new control strategy for a smooth transition between the energy sources in HESS. Four math functions are taken and programmed individually based on the speed of an electric motor termed as Math Function Based (MFB) controller, thereafter the designed MFB controller is combined with conventional Proportional Integral Derivative (PID) controller to achieve the main objective of this work, and the combination MFB plus PID called as a hybrid controller. The MFB controller always regulates the pulse signal generated by the PID controller to the Bidirectional converter (BDC) as well as a Unidirectional converter (UDC) according to the speed of the electric motor. In this work additionally, the solar panel is added to the electric vehicle to charge the battery during the sunlight availability timings depending upon the irradiance and temperature. The entire solar-powered electric vehicle circuit is modeled and analyzed in four modes with different loads according to the speed of an electric motor. All modes of results are discussed, presented in simulation results and discussion section.","PeriodicalId":130983,"journal":{"name":"Advances in Modelling and Analysis C","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126648445","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 comparative analysis on two gear tooth materials for low speed and high torque transmission","authors":"S. Chatterjee, Krishanu Gupta","doi":"10.18280/AMA_C.730301","DOIUrl":"https://doi.org/10.18280/AMA_C.730301","url":null,"abstract":"The present investigation is devoted to explore the static stresses developed on gear tooth material at low speed and high torque for two different materials; C45 steel and high density polyethylene (HDPC). Subsequently a 3D spur gear pair is modeled in CATIA work bench and the stresses developed were analyzed using finite element analysis using ANSYS workbench 14.5. The results of bending stress distribution, modal displacement and modal frequencies for the first four modes were finally compared for both cases of the metallic and the HDPE made gear pairs.","PeriodicalId":130983,"journal":{"name":"Advances in Modelling and Analysis C","volume":"10 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130425523","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":"Fuzzy soft set based decision approach for financial trading","authors":"Shraddha Harode, M. Jha, N. Srivastava, S. Das","doi":"10.18280/ama_c.730305","DOIUrl":"https://doi.org/10.18280/ama_c.730305","url":null,"abstract":"","PeriodicalId":130983,"journal":{"name":"Advances in Modelling and Analysis C","volume":" 18","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132158298","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":"Comparative study between luenberger observer and extended kalman filter for fault-tolerant control of induction motor drives","authors":"T. Roubache, S. Chaouch, M. Naït-Saïd","doi":"10.18280/ama_c.730201","DOIUrl":"https://doi.org/10.18280/ama_c.730201","url":null,"abstract":"In this paper, a robust active fault tolerant control (AFTC) scheme is proposed for induction motor drives (IMD) via input-output linearization control (IOLC) and nonlinear observer. In order to estimate the states and to reconstruct the faults, two different observers are used; a Luenberger observer (LO) and an extended kalman filter (EKF). Further we introduce feedback linearization strategy by choosing the output function as the rotor speed and flux square. To provide a direct comparison between these FTCs schemes, the performance is evaluated using the control of IMD under failures, variable speed, and variable parameters, finally the obtained results show that the proposed controller with the proposed observers provides a good trajectory tracking, and these schemes are robust with respect to faults, parameter variations, and external load disturbances for induction motor drive system.","PeriodicalId":130983,"journal":{"name":"Advances in Modelling and Analysis C","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121790898","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}