Results 41 to 50 of about 30,987 (233)
Energies, 2021 An innovative union of fuzzy controller and proportional-integral-derivative (PID) controller under the environment of fractional order (FO) calculus is described in the present study for an isolated hybrid power system (IHPS) in the context of load ...
Tarkeshwar Mahto +5 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
Fuzzy neural network PID control design of camellia fruit vibration picking manipulator
Journal of Agricultural Engineering, 2023 Due to the growth characteristics of the flowers and fruits of camellia in the same period, the vibrating camellia fruit picking machine needs to ensure the constant rotational speed of the vibrating hydraulic motor when the picking mechanism is ...
Ziyan Fan, Lijun Li, Zicheng Gao
doaj +1 more source
Comparison of PID and Fuzzy Controller for Position Control of AR.Drone [PDF]
, 2017 This paper describes the implementation of the PID Controller to control the position of the AR.Drone in the x-y-z. This position control scheme uses three PID controllers to maintain the position of x, y and z using the signal control pitch, roll and ...
Indrawati, Veronica +2 more
core +1 more source
Advanced Intelligent Systems, EarlyView.Shape memory alloy wires exhibit thermally induced phase changes that generate actuation strain and resistance variations enabling self‐sensing. However, hysteretic electromechanical behavior complicates accurate state estimation. This paper presents an artificial in‐based self‐sensing method to reconstruct SMA actuator position in real time, achieving
Krunal Koshiya +2 more
wiley +1 more source
Simulation of speed control brushless DC motor using gaussian fuzzy logic controller [PDF]
, 2014 This paper presents a control scheme of a Fuzzy Logic for the brushless direct current (BLDC) motor drives. The BLDC motor has some advantages compare to others type of motors.
Abd Karim, Nurliana
core
Tuning Fuzzy PID Controllers [PDF]
, 2012 After the development of fuzzy logic, an important application of it was developed in control systems and it is known as fuzzy PID controllers. They represent interest in order to be applied in practical applications instead of the linear PID controllers, in the feedback control of a variety of processes, due to their advantages imposed by the non ...
openaire +2 more sources
Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes
Advanced Intelligent Systems, EarlyView.Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera +2 more
wiley +1 more source
Deep Underground Science and Engineering, EarlyView.Inspired by spiders, the multilegged walk‐through assembling robot for arc parts achieves high‐precision synchronous control under heavy loads through dual‐layer hydraulic pose dynamics modeling and hierarchical pressure optimization, significantly enhancing shield tunneling assembly efficiency and precision.
Quan Xiao +5 more
wiley +1 more source
Applied SciencesUnmanned aerial vehicles have a wide range of uses in the military field, non-combat situations, and civil works. Due to their ease of operation, unmanned aerial vehicles (UAVs) are highly sought after by farmers and are considered the best agricultural ...
Sairoel Amertet +2 more
doaj +1 more source