A Heuristic Approach for Tuning Model Predictive Controller

Saad , Nordin (2009) A Heuristic Approach for Tuning Model Predictive Controller. JURNAL ELEKTRIKA .

[img] PDF
Restricted to Registered users only

[img] PDF (ImageMagick conversion from application/pdf to application/pdf)
Restricted to Registered users only



This paper presents the results of a heuristic approach for tuning an embedded model predictive control (MPC) in real-time conditions. A gaseous pilot plant, a kind of interacting series processes, is used as the controlled process. Process modeling in this MPC uses gray-box approach, where two multi-input single-output (MISO) models are combined into a multi-input multi-output (MIMO) model. A real-time embedded control system consisting the off-the-shelf components and software tools is implemented and analyzed experimentally. Four tuning parameters are investigated to illustrate the easy and intuitively understandable MPC tuning rules. The aim here is to deliver an intuitive MPC tuning implementation that necessary to be considered in practical applications.

Item Type:Article
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Departments > Electrical & Electronic Engineering
ID Code:911
Deposited By: Assoc Prof Dr Nordin Saad
Deposited On:02 Apr 2010 02:15
Last Modified:19 Jan 2017 08:25

Repository Staff Only: item control page

Document Downloads

More statistics for this item...