Search Results - (( parameters variation system algorithm ) OR ( parameter evaluation method algorithm ))
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Hybrid Control of A Quadrotor System Carrying Suspended Payload With Parameter Variations
Published 2025thesis::master thesis -
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Performance evaluation of smoothed functional algorithm based methods for sigmoid-PID control optimization in MIMO twin-rotor systems
Published 2024“…This paper explores the tuning of the Sigmoid Proportional-Integral-Derivative (SPID) controller using variations of the Smoothed Functional Algorithm (SFA) for the underactuated Multiple-Input Multiple-Output (MIMO) twin-rotor system. …”
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Fast and optimal tuning of fractional order PID controller for AVR system based on memorizable-smoothed functional algorithm
Published 2022“…Therefore, this study proposes a modified smoothed function algorithm (MSFA) based method to tune the FOPID controller of AVR system since it requires fewer number of function evaluation per iteration. …”
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Field data-based mathematical modeling by Bode equations and vector fitting algorithm for renewable energy applications
Published 2018“…Thus, an accurate mathematical model is important because most system parameters vary with time. Curve modeling of power generation is a significant tool for evaluating system performance, monitoring and forecasting. …”
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Sensorless Adaptive Fuzzy Logic Control Of Permanent Magnet Synchronous Motor
Published 2008“…The design and optimisation of the FLC are carried out using an adaptive fuzzy inference system network that uses the backpropagation, least square and gradient algorithms. …”
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Thesis -
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A fuzzy-based PI controller for power management of a grid-connected PV-SOFC hybrid system
Published 2023Article -
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Temperature control using PID gain scheduling method for glycerin bleaching process: article / Riduan Suluhi
“…The PID controller is by far the most common control algorithm. Most feed-back loops are controlled by this algorithm or minor variation of it. …”
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Temperature control using PID gain scheduling method for glycerin bleaching process / Riduan Suluhi
Published 2011“…The PID controller is by far the most common control algorithm. Most feed-back loops are controlled by this algorithm or minor variation of it. …”
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Thesis -
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A hybrid grey wolf assisted-sparrow search algorithm for frequency control of RE integrated system
Published 2023“…Moreover, the robustness of the proffered method is also evaluated under the random varying load, variation of HPS system parameter, and weather intermittency of RE resources in real-time conditions. …”
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New global maximum power point tracking and modular voltage equalizer topology for partially shaded photovoltaic system / Immad Shams
Published 2022“…Only one dynamic variable is used as a tuning parameter reducing the complexity of the algorithm. …”
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Thesis -
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A Predictive Input Shaping Control for Swing Suppression of an Overhead Crane System Subjected to Non-Zero Initial Condition and Payload Hoisting
Published 2025thesis::master thesis -
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A Fuzzy-Based PI Controller for Power Management of a Grid-Connected PV-SOFC Hybrid System
Published 2017“…Since the PV is operated at the maximum power point, the power management involves the control of SOFC active power where a proportional and integral (PI) controller is used. The control parameters of the PI controller Kp (proportional constant) and Ti (integral time constant) are determined by the genetic algorithm (GA) and simplex method. …”
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Scene illumination classification based on histogram quartering of CIE-Y component
Published 2014“…In scene illumination estimation dealing with large range of illumination and small variation of it is critical. Those algorithms which performed estimation carrying out lots of calculation that leads in expensive methods in terms of computing resources. …”
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Adaptive template matching of photoplethysmogram pulses to detect motion artefact
Published 2018“…The developed algorithm was evaluated against a manually annotated 'gold standard' (GS). …”
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Modeling and control of a Pico-satellite attitude using Fuzzy Logic Controller
Published 2010“…The predictor is a one step-ahead predictor which estimates the required control at the next sampling time and applies to the system at current sampling time. Finally the adaptive portion of FLC is applied in order to compensate the effect of unknown parameter variations in the Pico-satellite system by using an adaptable gain which is connected in the forward path of the FLC. …”
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RLF and TS fuzzy model identification of indoor thermal comfort based on PMV/PPD
Published 2023“…This modeling is achieved using a Takagi-Sugeno (TS) fuzzy model and tuned by Gauss-Newton method for nonlinear regression (GNMNR) algorithm. …”
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Neural-Tuned PID controller for Point-to-point (PTP) positioning system: model reference approach
Published 2009“…The effectiveness of the proposed method is evaluated experimentally in real time using an experimental rotary positioning system. …”
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