Results 71 to 80 of about 31,142 (263)
Simulation of PID control of jig discharging system optimized by genetic algorithm
Gong-kuang zidonghua, 2013 In order to sovle problem of difficulty to obtain optimal control parameters and poor control effect of jig discharging system by use of traditional PID control method, the paper proposed a method of using genetic algorithm to optimize PID control ...
LV Ting-ting, MA Xiao-ping, CHEN Li
doaj
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar +2 more
wiley +1 more source
Fractional Model Reference Adaptive PIλDμ Control
Journal of New Results in Science, 2016 This study explains the auto-adjustable fractional order the proportional–integral–derivative (PID) controller design methodology by using the technique of fractional model reference adaptive control (fractional MRAC).
Hüseyin Arpacı +2 more
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POSITION CONTROL OF A QUADCOPTER WITH PID AND FUZZY-PID CONTROLLER
Mühendislik Bilimleri ve Tasarım DergisiIn this study, PID based efficient control systems are designed and compared for position control of a quadcopter in six degrees of freedom. The main goal is to get the quadcopter to the desired position in three-dimensional space. Firstly, the desired position for the quadcopter to reach is determined.
Ozan Polat, Aziz Sezgin
openaire +2 more sources
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This article introduces a computer vision‐assisted control strategy for light‐driven liquid crystal elastomer actuators. Through negative feedback regulation, the liquid crystal elastomer actuator exhibits accurate and stable bending deformation in complex environments.
Wei Zhang +6 more
wiley +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.In this research, a paradigm of parameter estimation method for pneumatic soft hand control is proposed. The method includes the following: 1) sampling harmonic damping waves, 2) applying pseudo‐rigid body modeling and the logarithmic decrement method, and 3) deriving position and force control.
Haiyun Zhang +4 more
wiley +1 more source
PID Control Perspective: Techniques and Uses
Edison Journal for Electrical and Electronics EngineeringThis article covers both conventional and modern methods for PID tuning and its appli-cations in an array of fields. Because of its simple layout, ease of use, and ongoing research into PID tuning, PID control is used in the vast majority of control ...
Wisam Subhi Al-Dayyeni +1 more
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Modeling and simulation of double-rotor pemanent magnet synchronous motor control
Dianzi Jishu Yingyong, 2018 Aiming at the shortcomings of traditional PID control method, such as parameter perturbation and poor anti-jamming ability of double-rotor permanent magnet synchronous motor, a single neuron fuzzy PID control method is proposed.
Zhou Wangping, Rui Zhenlei, Tian Yan
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