Results 21 to 30 of about 99,083 (312)

Towards intelligent PID control [PDF]

open access: yesAutomatica, 1992
Abstract Autotuners for PID controllers have been commercially available since 1981. These controllers automate some tasks normally performed by an instrument engineer. The autotuners include methods for extracting process dynamics from experiments and control design methods. They may be able to decide when to use PI or PID control.
Åström, K.J.   +3 more
openaire   +2 more sources

Multivariable predictive PID control for quadruple tank [PDF]

open access: yes, 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.
Uddin, Vali   +5 more
core   +1 more source

Patents, software and hardware for PID control: an overview and analysis of the current art [PDF]

open access: yes, 2006
Proportional-integral-derivative (PID) control provides simplicity, clear functionality, and ease of use. Since the invention of PID control in 1910 (largely owing to Elmer Sperry’s ship autopilot) and the straightforward Ziegler-Nichol (Z-N) tuning rule
Ang, K.H., Li, Y., Chong, G.C.Y.
core   +1 more source

Temperature Regulation of Hot Vapor Preservation Treatment of Litchi Based on PSO-Fuzzy PID

open access: yesApplied Sciences, 2023
In this paper, a control method was designed based on particle swarm optimization (PSO)–fuzzy PID (PSO-Fuzzy PID). In order to address the issues of significant nonlinearity and extensive hysteresis in the vapor temperature of litchi hot vapor ...
Hao Tang   +4 more
doaj   +1 more source

Adaptive Fuzzy Neural Network PID Algorithm for BLDCM Speed Control System

open access: yesMathematics, 2021
Because of its simple structure, high efficiency, low noise, and high reliability, the brushless direct current motor (BLDCM) has an irreplaceable role compared with other types of motors in many aspects. The traditional proportional integral derivative (
Hongqiao Yin   +4 more
doaj   +1 more source

B-spline neural networks based PID controller for Hammerstein systems [PDF]

open access: yes, 2012
A new PID tuning and controller approach is introduced for Hammerstein systems based on input/output data. A B-spline neural network is used to model the nonlinear static function in the Hammerstein system.
Sheng Chen   +13 more
core   +1 more source

Optimasi Kendali Ketinggian Air dengan Kontroler Fuzzy PID dalam Menghadapi Variabel Gangguan

open access: yesJurnal Elkomika, 2023
ABSTRAK Kendali ketinggian air merupakan suatu sistem yang sering ditemukan di sebagian besar fasilitas industri. Kendali ketinggian air seringkali dihadapkan pada gangguan yang disebabkan perubahan aliran masuk serta perubahan laju pengeluaran air ...
FITRIA SURYATINI   +4 more
doaj   +1 more source

Simulation study of genetic fuzzy PID cascade control system for soy flour spray drying tower

open access: yesShipin yu jixie, 2022
Objective: This paper proposed a genetic fuzzy PID cascade control system. Methods: Taking the outlet temperature as the main control quantity and the inlet temperature as the secondary controlled quantity, a cascade control system was made.
TIAN Si-qing   +4 more
doaj   +1 more source

Trajectory tracking control for mecanum wheel mobile robot by time-varying parameter PID controller [PDF]

open access: yes, 2022
This paper presents the design method a proportional integral derivative (PID) controller with time-varying parameters for trajectory tracking of a mecanum-wheeled robot with a minor error.
Dzung, Le Quoc   +5 more
core   +2 more sources

Formal Verification of Fractional-Order PID Control Systems Using Higher-Order Logic

open access: yesFractal and Fractional, 2022
Fractional-order PID control is a landmark in the development of fractional-order control theory. It can improve the control precision and accuracy of systems and achieve more robust control results.
Chunna Zhao, Murong Jiang, Yaqun Huang
doaj   +1 more source

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