Modeling and Simulation of Swarm Intelligence Algorithms for Parameters Tuning of PID Controller in Industrial Couple Tank System

QR Code

Modeling and Simulation of Swarm Intelligence Algorithms for Parameters Tuning of PID Controller in Industrial Couple Tank System

Industrial tank system is widely used in consumer liquid processing and chemical processing industry. In liquid-based product manufacturing system, one of the main components consists of an industrial tank. This paper explores the applications of two swarm intelligence algorithms in optimizing the P...

Full description

Bibliographic Details
Main Authors:	Ismail, Mohd Khairuddin, Amira Sarayati, Ahmad Dahalan, Amar Faiz, Zainal Abidin, Yee, Yang Lai, Nur Anis, Nordin, Siti Fatimah, Sulaiman, Hazriq Izzuan, Jaafar, Syahrul Hisham, Mohamad, Noor Hafizah, Amer
Format:	Article
Language:	English
Published:	2014
Subjects:	TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/5530/ http://umpir.ump.edu.my/id/eprint/5530/1/10.pdf

Similar Items

Application of Binary Firefly Algorithm (BFA) in tuning PID parameters for couple tank system
by: Azahar, Arman Hadi, et al.
Published: (2021)

Data-driven neuroendocrine-pid tuning based on safe experimentation dynamics for control of TITO coupled tank system with stochastic input delay
by: Mohd Riduwan, Ghazali, et al.
Published: (2019)

Implementation of PID controller for controlling the liquid level of the coupled tank system
by: Mohd Izzat, Dzolkafle
Published: (2008)

Implementation if PID controller for controlling the liquid level of the coupled tank system
by: Mohd Izzat, Dzolkafle
Published: (2009)

Implementation of proportional integral derivative (PID) controller on coupled tank liquid system
by: Saiful Norazwan , Mohd Ariffin
Published: (2008)

Tuning of Optimum PID Controller Parameter using Particle Swarm Optimization Algorithm Approach
by: Wan Azhar, Wan Yusoff, et al.
Published: (2007)

Tuning rules for optimal PID and fractional-order PID controllers
by: Padula, Fabrizio, et al.
Published: (2011)

Extended bat algorithm for PID controller tuning of wheeled mobile robot and swarm robotics target searching strategy
by: Nur Aisyah Syafinaz, Suarin
Published: (2020)

Parameter identification of a coupled tank liquid evel system via particle swarm optimization
by: Nur Azmina, Othman
Published: (2009)

Liquid level control of a couple tank system based on smooth trajectory tracking using PID controller
by: Salman, Razeni
Published: (2009)

Improved coupled tank liquid levels system based on hybrid genetic-immune adaptive tuning of PI controller
by: S. M., Nawi, et al.
Published: (2011)

Optimization of PID Tuning Using Genetic Algorithm
by: Tengku Ahmad Faris, Ku Yusoff, et al.
Published: (2015)

Performance Comparison Of Intelligent Tuning Methods Using Pid-Afcga And Pid-Afcpso In Attenuating The Vibration Of The Suspended Handle Model
by: Choo, Kinn
Published: (2021)

Optimized PID tuning for the automatic control of neuromuscular blockade
by: Merigo, L., et al.
Published: (2018)

Exact tuning of PID controllers in control feedback design
by: Ntogramatzidis, Lorenzo, et al.
Published: (2011)

Exact Tuning of PID Controllers in Control Feedback Design
by: Ntogramatzidis, Lorenzo, et al.
Published: (2011)

PID tuning with input constraint: application on food processing
by: Chua, Bee Lin, et al.
Published: (2009)

Water level in tank using level sensor and PID controller
by: Abdullah, Muhd Asran
Published: (2008)

Servo/regulation intermediate tuning for fractional order PID controllers
by: Arrieta, O., et al.
Published: (2015)

PID controller tuning performance evaluation for an isolated power system
by: Sabo, Aliyu, et al.
Published: (2022)

Comparison of different methods in tuning the PID feedback control loop
by: Goh, Xu Qi
Published: (2021)

Swarm-intelligence tuned current reduction for power assisted steering control in electric vehicle
by: A.Hanifah, Rabiatuladawiah, et al.
Published: (2017)

Swarm-intelligence tuned current reduction for power-assisted steering control in electric vehicles
by: Hanifah, Rabiatuladawiah Abu, et al.
Published: (2018)

PSO fined-tuned model-free PID controller with derivative filter for buck-converter driven DC motor
by: Mohd Zaidi, Mohd Tumari, et al.
Published: (2019)

PSO fine-tuned model-free PID controller with derivative filter for depth control of hovering autonomous underwater vehicle
by: Mohd Zaidi, Mohd Tumari, et al.
Published: (2019)

Set-point weight tuning rules for fractional-order PID controllers
by: Padula, Fabrizio, et al.
Published: (2013)

Fuzzy-tuned PID anti-swing control of automatic gantry crane
by: Solihin, Mahmud Iwan, et al.
Published: (2010)

Neural-tuned PID control for point-to-point (PTP)positioning system
by: Tin, Myo Han, et al.
Published: (2011)

PID implementation of UMP mini automation plant part 1- heating tank
by: Lee, Ming Jie
Published: (2010)

Stabilization and PID tuning algorithms for second-order unstable processes with time-delays
by: Seer, Q., et al.
Published: (2017)

Robust PID tuning of AVR system based on indirect design approach-2
by: Mohd Ashraf, Ahmad, et al.
Published: (2023)

African Buffalo Optimization Algorithm for PID parameters tuning of Automatic Voltage Regulators
by: Odili, Julius Beneoluchi, et al.
Published: (2016)

Analysis of a gain tuning PID controller for pressure control in UCP plant
by: Abdullah, Nor Arymaswati, et al.
Published: (2015)

Implementation of LQR controller on coupled tank liquid level system
by: Mohd Shahizan, Shapii
Published: (2008)

PID tuned artificial immune system hover control for lab-scaled helicopter system
by: Toha, Siti Fauziah, et al.
Published: (2015)

Stabilising PID tuning for a class of fourth-order integrating nonminimum-phase systems
by: Seer, Q., et al.
Published: (2017)

PID controller tuning via multi-scale control scheme for parallel cascade processes
by: Nandong, Jobrun, et al.
Published: (2014)

Simulation of auto –tuning pid controller for dc motor using Ziegler-Nichols method
by: Aina Azliyana, Mohamad
Published: (2012)

Parameters-Tuning of PID Controller for Automatic Voltage Regulators using the African Buffalo Optimization
by: Odili, Julius Beneoluchi, et al.
Published: (2017)

Data-Driven PID Tuning Based on Safe Experimentation Dynamics for Control of Liquid Slosh
by: Nor Sakinah, Abdul Shukor, et al.
Published: (2017)