Online quantitative feedback theory (QFT) -based self-tuning controller for grain drying process

QR Code

Online quantitative feedback theory (QFT) -based self-tuning controller for grain drying process

This paper presents a development of QFT-based self-tuning controller for a conveyor belt type grain dryer plant. Grain drying process is complex due to long time delay, presence of disturbances and plant uncertainty. QFT technique potentially has excellent solution towards this problem due to its w...

Full description

Bibliographic Details
Main Authors:	Mansor, Hasmah, Mohd Noor, Samsul Bahari, Raja Ahmad, Raja Mohd Kamil, Taip, Farah Saleena
Format:	Article
Language:	English
Published:	Academic Journals 2011
Online Access:	http://psasir.upm.edu.my/id/eprint/22783/ http://psasir.upm.edu.my/id/eprint/22783/1/22783.pdf

Similar Items

Online Quantitative feedback theory (QFT)-based self-tuning controller for grain drying process
by: Mansor, Hasmah, et al.
Published: (2011)

Design procedure of robust QFT-based controller for continuous-flow grain dryer plant
by: Mansor, Hasmah, et al.
Published: (2011)

Design procedure of robust QFT-based controller for continuous-flow grain dryer plant
by: Mansor, Hasmah, et al.
Published: (2011)

Control of grain drying process using self-tuning quantitative feedback theory
by: Mansor, Hasmah
Published: (2011)

Design of QFT-based self-tuning deadbeat controller
by: Mansor, Hasmah, et al.
Published: (2013)

Design of QFT-based self-tuning deadbeat controller
by: Mansor, Hasmah, et al.
Published: (2013)

A development of self-tuning quantitative feedback theory
by: Mansor, Hasmah, et al.
Published: (2012)

A development of self-tuning quantitative feedback theory
by: Mansor, Hasmah, et al.
Published: (2012)

Design of QFT controller for a bench-top helicopter system model
by: Mansor, Hasmah, et al.
Published: (2010)

Intelligent control of grain drying process using fuzzy logic controller
by: Mansor, Hasmah, et al.
Published: (2010)

Intelligent control of grain drying process using fuzzy logic controller.
by: Mansor, Halimathon, et al.
Published: (2010)

Robust control of bench-top helicopter using quantitative feedback theory
by: Mohd. Hairon, Ameerul Hakeem, et al.
Published: (2015)

Development of robust quantitative feedback theory controller for quanser bench-top helicopter
by: Saiful Yazan, Siti Aishah, et al.
Published: (2014)

Design of self-tuning minimum effort active noise control with feedback inclusion architecture
by: Raja Ahmad, Raja Mohd Kamil, et al.
Published: (2009)

Analytical formulation of the integral square error for linear stable feedback control system
by: Shahemabadi, Ali Rafiei, et al.
Published: (2013)

Travel angle control of quanser bench-top helicopter based on quantitative feedback theory technique
by: Mohd Hairon, A. H., et al.
Published: (2016)

QFT controller for nonlinear system application to 3-DOF flight control module
by: Boby , R. I., et al.
Published: (2016)

Empirical modeling and control for spray drying of orange juice powder
by: Tan, Lee Woun, et al.
Published: (2011)

Empirical modeling for spray drying process of sticky and non-sticky products.
by: Taip, Farah Saleena, et al.
Published: (2011)

Computer implementable Quick Fourier Transform (QFT) for engineering educators
by: Hameed, Shihab A., et al.
Published: (2011)

Effects of different operating parameters in papaya halwa drying
by: Lau, Fui Fui, et al.
Published: (2011)

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

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)

Neuro-fuzzy modeling of a conveyor-belt grain dryer
by: Lutfy, Omar F., et al.
Published: (2010)

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

Effectiveness of additives in spray drying performance: a review
by: Lee, Jesse Kar Ming, et al.
Published: (2018)

Optimization of processing conditions in drying of different parts pumpkin powder using air fryer method
by: Nik Murzaini, Nik Masturah, et al.
Published: (2016)

Recent advances in the drying process of grains
by: Jimoh, Kabiru Ayobami, et al.
Published: (2023)

Adaptive control of nonlinear system based on QFT application to 3-DOF flight control system
by: Boby, Rounakul Islam, et al.
Published: (2019)

Simulation and control of spray drying using nozzle atomizer spray dryer
by: Tan, Lee Woun, et al.
Published: (2009)

Theoretical development of minimum effort active noise control with feedback inclusion architecture.
by: Raja Ahmad, Raja Kamil, et al.
Published: (2008)

Self-tuning deadbeat PD controller for pitch angle control of a bench-top helicopter
by: Mansor, Hasmah, et al.
Published: (2014)

Empirical model of spray drying of whole milk powder using nozzle atomizer spray dryer
by: Tan, Lee Woun, et al.
Published: (2010)

State feedback control tuning for flexible joint manipulator using PSO with constraint
by: Iwan S., Mahmud, et al.
Published: (2011)

Wavelet network: online sequential extreme learning machine for nonlinear dynamic systems identification
by: Mohammed Salih, Dhiadeen, et al.
Published: (2015)

Wavelet network based online sequential extreme learning machine for dynamic system modeling
by: Mohammed Salih, Dhiadeen, et al.
Published: (2013)

Self-tuning dead beat PD controller for pitch angle control of a bench-top helicopter
by: Mansor, Hasmah, et al.
Published: (2014)

Moisture migration in a grain column subjected to drying
by: Hawlader, Mohammad Nurul Alam, et al.
Published: (2011)

Development of an artificial neural network utilizing particle swarm optimization for modeling the spray drying of coconut milk
by: Lee, Jesse Kar Ming, et al.
Published: (2021)