Results 51 to 60 of about 45,725 (208)
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
Fuzzy-Based PID Motion Control for Inhalation-Type Floating Garbage Cleaning Robots
IEEE AccessThis paper introduces an intelligent controlled cleaning tool for picking up underwater floating garbage. An inhalation-type garbage cleaning robot is designed not only to improve the efficiency of garbage collection but also to simplify the controller ...
Zheng Li +3 more
doaj +1 more source
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
doaj +1 more source
Modeling and Fuzzy Feedforward Control of Fuel Cell Air Supply System
World Electric Vehicle Journal, 2021 As an important part of the fuel cell subsystem, the air supply system of the proton exchange membrane fuel cell (PEMFC) plays an important role in improving the output performance and durability of fuel cells.
Jun Cheng +3 more
doaj +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
International Journal of Electrochemical Science, 2021 Microbial fuel cell (MFC) has attracted more and more attention as a kind of efficient and green power source. Due to its own complexity, the precise control of MFC is still difficult to achieve.
Li-ping Fan, Xiao-min Chen
doaj +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
Energy Science &Engineering, EarlyView.A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan +4 more
wiley +1 more source
Optimized Dual ANN Control Technique for Efficient Energy Management System (EMS) of Microgrid
Energy Science &Engineering, EarlyView.Proposed methodology. ABSTRACT The escalating global energy demand necessitates a shift towards sustainable and environmentally friendly alternatives. While renewable energy sources like solar and wind energy offer promising solutions, their intermittent nature poses significant challenges for grid integration.
Bin Li +5 more
wiley +1 more source