Academic literature on the topic 'Gain Scheduling (GS)'

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Journal articles on the topic "Gain Scheduling (GS)"

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Bojan-Dragos, Claudia-Adina, Radu-Emil Precup, Marius L. Tomescu, Stefan Preitl, Oana-Maria Tanasoiu, and Stefania Hergane. "Proportional-Integral-Derivative Gain-Scheduling Control of a Magnetic Levitation System." International Journal of Computers Communications & Control 12, no. 5 (2017): 599. http://dx.doi.org/10.15837/ijccc.2017.5.2770.

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The paper presents a gain-scheduling control design procedure for classical Proportional-Integral-Derivative controllers (PID-GS-C) for positioning system. The method is applied to a Magnetic Levitation System with Two Electromagnets (MLS2EM) laboratory equipment, which allows several experimental verifications of the proposed solution. The nonlinear model of MLS2EM is linearized at seven operating points. A state feedback control structure is first designed to stabilize the process. PID control and PID-GS-C structures are next designed to ensure zero steady-state control error and bumpless sw
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Ilka, Adrian, and Vojtech Veselý. "Gain–Scheduled Controller Design: Variable Weighting Approach." Journal of Electrical Engineering 65, no. 2 (2014): 116–20. http://dx.doi.org/10.2478/jee-2014-0017.

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Abstract Among the most popular approaches to non-linear control is gain-scheduled (GS) controller, which can have better performance than robust and other ones. Our approach is based on a consideration that in linear parameter varying (LPV) system, scheduling parameters and their derivatives with respect to time are supposed to lie in a priori given hyper rectangles. To access the performance quality a new quadratic cost function is used, where weighting matrices are time varying depends on scheduled parameter. The class of control structure includes decentralised fixed order output feedbacks
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Khoud, Khaled Ben, Soufiene Bouallègue, and Mounir Ayadi. "Design and co-simulation of a fuzzy gain-scheduled PID controller based on particle swarm optimization algorithms for a quad tilt wing unmanned aerial vehicle." Transactions of the Institute of Measurement and Control 40, no. 14 (2018): 3933–52. http://dx.doi.org/10.1177/0142331217740947.

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This paper deals with the systematic design and hardware co-simulation of a fuzzy gain-scheduled proportional–integral–derivative (GS-PID) controller for a quad tilt wing (QTW) type of unmanned aerial vehicles (UAVs) based on different variants of the particle swarm optimization (PSO) algorithm. The fuzzy PID gains scheduling problem for the stabilization of the roll, pitch and yaw dynamics of the QTW vehicle is formulated as a constrained optimization problem and solved thanks to improved PSO algorithms. PSO algorithms with variable inertia weight (PSO-In), PSO with constriction factor (PSO-C
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Stebel, Krzysztof, Jacek Czeczot, and Mieczysław Metzger. "Improving efficiency of pH control by balance-based adaptive control application." Archives of Control Sciences 23, no. 1 (2013): 19–40. http://dx.doi.org/10.2478/v10170-011-0040-0.

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Abstract This paper deals with the efficient control of the pH process. Considering the PI + gain scheduling (PI+GS) controller as the benchmark and its control performance as the base, we investigate experimentally the overall improvement in the control performance obtained by the application of the Balance-Based Adaptive Controller (B-BAC), which requires only the measurement data of the flow rates and pH values. The improvement of the control efficiency is investigated not only in terms of the controlled variable performance but also in terms of the manipulated variable performance consider
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dos Santos, Davi Henrique, and Luiz Marcos Garcia Goncalves. "A gain-scheduling control strategy and short-term path optimization with genetic algorithm for autonomous navigation of a sailboat robot." International Journal of Advanced Robotic Systems 16, no. 1 (2019): 172988141882183. http://dx.doi.org/10.1177/1729881418821830.

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The development of a navigation system for autonomous robotic sailing is a particularly challenging task since the sailboat robot uses unpredictable wind forces for its propulsion besides working in a highly nonlinear and harsh environment, the water. Toward solving the problems that appear in this kind of environment, we propose a navigation system which allows the sailboat to reach any desired target points in its working environment. This navigation system consists of a low-level heading controller and a short-term path planner for situations against the wind. For the low-level heading cont
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Urrea, Claudio, and Felipe Páez. "Design and Comparison of Strategies for Level Control in a Nonlinear Tank." Processes 9, no. 5 (2021): 735. http://dx.doi.org/10.3390/pr9050735.

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In this work, a study of the water level control of an inverted conical tank system is presented. This type of tank has highly nonlinear mathematical and dynamic characteristics. Four control strategies are designed, applied, and compared, namely classical Proportional–Integral–Derivative (PID), Gain Scheduling (GS), Internal Model Control (IMC), and Fuzzy Logic (FL). To determine which of the designed control strategies are the most suitable for an inverted conical tank, a comparative study of the behavior of the system is carried out. With this purpose, and considering situations much closer
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Vindigni, Carmelo Rosario, Calogero Orlando, and Alberto Milazzo. "Computational Analysis of the Active Control of Incompressible Airfoil Flutter Vibration Using a Piezoelectric V-Stack Actuator." Vibration 4, no. 2 (2021): 369–94. http://dx.doi.org/10.3390/vibration4020024.

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The flutter phenomenon is a potentially destructive aeroelastic vibration studied for the design of aircraft structures as it limits the flight envelope of the aircraft. The aim of this work is to propose a heuristic design of a piezoelectric actuator-based controller for flutter vibration suppression in order to extend the allowable speed range of the structure. Based on the numerical model of a three degrees of freedom (3DOF) airfoil and taking into account the FEM model of a V-stack piezoelectric actuator, a filtered PID controller is tuned using the population decline swarm optimizer PDSO
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Caron, Mike, and Roger Kjelgren. "Growth and Water Use During Establishment of Irrigated Bare Root and Balled-Burlap Green Ash Transplanted Into A High Desert Landscape." HortScience 51, no. 9 (2016): 1188–93. http://dx.doi.org/10.21273/hortsci10967-16.

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We investigated growth, water relations, and water use of bare root (BR) and balled-burlapped (BB) Patmore green ash following transplanting into an irrigated landscape setting in a high desert climate. Treatments were green ash harvested as larger (40 mm caliper) BB and BR trees, and smaller BR stock (25 mm caliper). During establishment, we measured canopy growth for 3 years, and for 2 years plant water relations [predawn water potential and midday stomatal conductance (gS)] and water depletion within the root zone. All treatments expressed varying degrees of isohydric responses to root loss
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Osama Ali Awad and Isra'a Laith Salim. "Fuzzy PID Gain Scheduling Controller for Networked Control System." Iraqi Journal of Science, January 14, 2021, 210–16. http://dx.doi.org/10.24996/ijs.2021.si.1.30.

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The use of a communication network in the closed loop control systems has many advantages such as remotely controlling equipment, low cost, easy to maintenance, efficient information transmission, etc. However, the Networked Control System (NCS) has many drawbacks, such as network-induce end-to-end time delay and packet loss, which lead to significant degradation in controller performance and may result in instability. Aiming at solving performance degradation in NCS, this paper propose to take the advantages and strength of the conventional Proportional-Integral-Derivative (PID), Fuzzy Logic
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Nai Ho, Ling, Norhaliza Abdul Wahab, Ibrahim A. Shehu, et al. "CONTROL OF A COUPLED TANK SYSTEM USING PI CONTROLLER WITH ADVANCED CONTROL METHODS." Jurnal Teknologi 78, no. 7-4 (2016). http://dx.doi.org/10.11113/jt.v78.9419.

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The liquid level control in tanks and flow control between cascaded or coupled tanks are the basic control problems exist in process industries nowadays. Liquids are to be pumped, stored or mixed in tanks for various types of chemical processes and all these require essential control and regulation of flow and liquid level. In this paper, different types of tuning methods are proposed for Proportional-Integral (PI) controller and are further improved with integration of Advanced Process Control (APC) method such as feedforward and gain scheduling to essentially control the liquid level in Tank
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Dissertations / Theses on the topic "Gain Scheduling (GS)"

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Beteto, Marco Antonio Leite. "Less conservative conditions for the robust and Gain-Scheduled LQR-state derivative controllers design /." Ilha Solteira, 2019. http://hdl.handle.net/11449/180976.

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Orientador: Edvaldo Assunção<br>Resumo: Neste trabalho é proposta a resolução do problema do regulador linear quadrático (Linear Quadratic Regulator - LQR) via desigualdades matriciais lineares (Linear Matrix Inequalities - LMIs) para sistemas lineares e invariantes no tempo sujeitos a incertezas politópicas, bem como para sistemas lineares sujeitos a parâmetros variantes no tempo (Linear Parameter Varying - LPV). O projeto dos controladores é baseado na realimentação derivativa. A escolha da realimentação derivativa se dá devido à sua fácil implementação em certas aplicações como, por exemplo
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