Results 41 to 50 of about 982,389 (325)

Production of Metallic Foam Precursors Using Current‐Activated Pressure‐Assisted Densification

Advanced Engineering Materials, EarlyView.
A powder compaction metallurgical method, known as current‐activated pressure‐assisted densification, is applied to enhance the compaction of metal foam precursors. This method improves precursor quality by achieving higher density, lower electrical resistivity, and more uniform pore nucleation in the resulting foams, reducing energy consumption and ...
Tillmann Robert Neu, Paul Hans Kamm, Francisco García‐Moreno   +2 more
wiley   +1 more source

Reformative artificial bee colony algorithm based PID controller for radar servo system

Electronic Research Archive, 2022
This paper proposes a PID controller optimized by a reformative artificial bee colony algorithm (RABC-PID) for the radar servo system (RSS). The RABC algorithm is an enhancement of the artificial bee colony (ABC) algorithm by introducing the best ...
Hualong Du, Qiuyu Cui , Pengfei Liu, Xin Ma, He Wang   +4 more
doaj   +1 more source

Zero overshoot and fast transient response using a fuzzy logic controller [PDF]

, 2011
In some industrial process control systems it is desirable not to allow an overshoot beyond the setpoint or a threshold, this could be a safety constraint or the requirement of the system.
Mehrdadi, Bruce, Saeed, Bakhtiar I.
core  

Multivariable predictive PID control for quadruple tank [PDF]

, 2010
In this paper multivariable predictive PID controller has been implemented on a multi-inputs multi-outputs control problem i.e., quadruple tank system, in comparison with a simple multiloop PI controller.
Katebi, Reza, Saeed, Qamar, Uddin, Vali
core   +1 more source

Design and Implementation of Model Predictive Control Based PID Controller for Industrial Applications

Energies, 2020
Advanced control approaches are essential for industrial processes to enhance system performance and increase the production rate. Model Predictive Control (MPC) is considered as one of the promising advanced control algorithms.
A. Aboelhassan, M. Abdel-Geliel, E. Zakzouk, M. Galea   +3 more
semanticscholar   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

Advanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto, Sergey Dayneko, Antoine Pavesic Junior, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov   +8 more
wiley   +1 more source

PID Controller Design for Cruise Control System using Particle Swarm Optimization

Iraqi Journal for Computers and Informatics, 2017
This paper presents a design of a Proportional-Integral-Derivative (PID) controller for automobile cruise control system. The parameters of the PID controller, which are the proportional ( ), derivative ( ) , and integrator ( ), have been selected using ...
Ahmed Raheem Abdulnabi
doaj   +2 more sources

Adaptive Control For Mobile Robots Based On Inteligent Controller

Journal of Applied Science and Engineering
The paper presents three position controller designs for a mobile robot. The first is a position controller using a classic PID controller. The second is the position controller is designed based on optimal three coefficients for PID controller by fuzzy ...
Than Thi Thuong, Vo Thanh Ha
doaj   +1 more source

A COMPARATIVE ANALYSIS OF ARTIFICIAL BEE COLONY AND PARTICLE SWARM OPTIMIZATION SWARM INTELLIGENCE ALGORITHMS IN DESIGN A FRACTIONAL FUZZY PID CONTROLLER AND IMPLEMENTATION ON DC MOTOR [PDF]

مجله مدل سازی در مهندسی, 2014
In this article, has been studied implementation of fractional fuzzy PID controller on a DC motor. A fractional fuzzy PID controller is a conventional PID controller that includes two non-integer derivative and integral parameters (λ,µ) in addition to ...
rohollah Maghsoudi, yaghoob Heidari, behzad Moshiri   +2 more
doaj   +1 more source

Towards neuromorphic control: A spiking neural network based PID controller for UAV

Robotics: Science and Systems, 2020
: In this work, we present a spiking neural network(SNN) based PID controller on a neuromorphic chip. On-chipSNNs are currently being explored in low-power AI applications.Due to potentially ultra-low power consumption, low latency,and high processing ...
R. Stagsted, A. Vitale, Jonas Binz, Alpha Renner, L. B. Larsen, Yulia Sandamirskaya   +5 more
semanticscholar   +1 more source