Towards intelligent PID control [PDF]
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]
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]
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
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
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]
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
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
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]
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
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

