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23 articles for “adaptive controller”

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Research ArticleOpen accessPhrase in the titleVehicle-Fixed-Frame Adaptive Controller and Intrinsic Nonlinear PID Controller for Attitude Stabilization of a Complex-Shaped Underwater VehicleChanaka Thushitha Bandara, Lakmali Nadeesha Kumari, Sanjeeva Maithripala, Asanga RatnaweeraIn this study we present attitude stabilization using a vehicle-fixed-frame adaptive controller and an intrinsic nonlinear PID controller for a low-speed Autonomous Underwater Vehicle (AUV), of complex shape. Controlling an AUV poses a huge challenge because of the non-linearity, time variance and unpredictable external disturbance, as well as because its dynamics and hydrodynamic parameters are difficult to identify due to … …Journal of Mechatronics and Robotics, Vol. 4, Issue 1 · 7 Dec 2020 · 6,987 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAdaptive Controllers for Permanent Magnet Brushless DC Motor Drive System using Adaptive-Network-based Fuzzy Interference SystemV.M. Varatharaju, Badrilal Mathur, UdhayakumarProblem statement: The tuning methodology for the parameters of adaptive speed controller causes a transient deviation of the response from the set reference following variation in load torque in a permanent-magnet brushless DC (BLDC) motor drive system. Approach: This study develops a mathematical model of the BLDC drive system, firstly. Secondly, discusses a design of the closed loop drive system … …American Journal of Applied Sciences, Vol. 8, Issue 8 · 19 Jul 2011 · 6,941 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleApplying Model Reference Adaptive Controller for Lateral Motion of AircraftAbdelkader Maddi, Abderrezak Guesssoum, Daoued BerkaniProblem statement: This study developed a new application for the output model reference adaptive control of linear continuous systems based on the concepts of hyper-stability. Approach: The main idea is to design a non-linear controller which will ensure the minimal error between the reference model and the plant outputs. Results: Therefore, the synthesis of adaptive control with a model of … …American Journal of Applied Sciences, Vol. 7, Issue 2 · 28 Feb 2010 · 7,506 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleDirect Model Reference Adaptive Controller Based-On Neural-Fuzzy Techniques for Nonlinear Dynamical SystemsHafizah Husain, Marzuki Khalid, Rubiyah YusofThis paper presents a direct neural-fuzzy-based Model Reference Adaptive Controller (MRAC) for nonlinear dynamical systems with unknown parameters. The two-phase learning is implemented to perform structure identification and parameter estimation for the controller. In the first phase, similarity index-based fuzzy c-means clustering technique extracts the fuzzy rules in the premise part for the neural-fuzzy controller. This technique enables the recruitment … …American Journal of Applied Sciences, Vol. 5, Issue 7 · 31 Jul 2008 · 6,939 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDamping of Generator Oscillations Using an Adaptive UPFC-based ControllerD. Nazarpour, S. H. Hosseini, G. B. GharehpetianIn this study a UPFC-based non-linear adaptive controller is proposed and designed to damp generator oscillations. The adaptive controller design is based on determination of control signal using a new linear quadratic pole placement control law and identification of power system parameters with recursive least squares method with adaptive directional forgetting factor. A new model of UPFC has been introduced … …American Journal of Applied Sciences, Vol. 3, Issue 1 · 31 Jan 2006 · 6,764 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAdaptive Fuzzy Knowledge Based Controller for Autonomous Robot Motion ControlMbaitiga ZacharieProblem statement: Research into robot motion control offers research opportunities that will change scientists and engineers for year to come. Autonomous robots are increasingly evident in many aspects of industry and everyday life and a robust robot motion control can be used for homeland security and many consumer applications. This study discussed the adaptive fuzzy knowledge based controller for robot … …Journal of Computer Science, Vol. 6, Issue 10 · 30 Jul 2010 · 6,909 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImproved Coupled Tank Liquid Levels System Based on Swarm Adaptive Tuning of Hybrid Proportional-Integral Neural Network ControllerM.S. Ramli, RM.T. Raja Ismail, M.A. Ahmad et al.Problem statement: Accuracy and stability of many systems in chemical and process industries which has Two-Input Two-Output (TITO) is one of the key factors of process which have cross coupling between process input and output. Approach: Unlike traditional neural network weight adaptation using gradient descent method, Particles Swarm Optimization (PSO) technique was utilized for adaptive tuning of neural network weights … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 4 · 31 Dec 2009 · 7,822 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDesign and Implementation of an Adaptive Control for a RobotIraj Hassanzadeh, Abbas Harifi, Farid ArvaniThis research investigates the performance of an adaptive controller for five-bar linkage robot. The proposed controller was entirely independent on the physical specifications of the robot. The controller was examined as the dynamics of the mechanical system varies for various environment conditions, which make it an ambiguous system. In this study, the introduced controller was designed based on the governing … …American Journal of Applied Sciences, Vol. 4, Issue 2 · 28 Feb 2007 · 6,645 accessesView PDFCite
Research ArticleOpen accessIn the abstractImprovement of Rooftop Solar Panels Efficiency using Maximum Power Point Tracking Based on an Adaptive Neural Network Fuzzy Inference SystemI Made Ari Nrartha, I Made Ginarsa, Agung Budi Muljono et al.Rooftop solar panels are a strategy for achieving Indonesia's renewable energy goals, but their non-linear characteristics make them difficult to control, especially in the face of extreme weather changes. An effective controller is needed to optimize the power output of solar panels. This study proposes a Maximum Power Point Tracking (MPPT) controller based on an Adaptive Neural network Fuzzy Inference … …American Journal of Engineering and Applied Sciences, Vol. 16, Issue 1 · 19 Jan 2023 · 5,769 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive and Neural Network Based Control of Pitch of Unmanned Aerial VehiclesMackenzie T. Matthews, Sun YiThe objective is to develop a new control strategy for quadrotor types of Unmanned Aerial Systems (UAVs) that assist in closing the existing research gaps between the undesired uncertainties and current control systems. This research investigates a system modeling and the effectiveness of error elimination through adaptation in the change of the plant/system’s output. The UAV is controlled via Wi-Fi … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 18 Nov 2019 · 6,489 accessesView PDFCite