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  • In Jour Smart Sensing And Intelligent Systems

 

Article | 01-September-2012

MODELING AND CONTROLLER DESIGN OF PNEUMATIC ACTUATOR SYSTEM WITH CONTROL VALVE

mathematical model of pneumatic actuator system and for controller design. Data collection of input and output signal of the system has been performed from experiment procedure. This data is used for estimate the model by selecting Auto-Regressive Exogenous (ARX) model as a model structure. The accepted model is based validation test namely as residual correlation, Akaike Final Prediction Error and best fit percentage. Different control schemes such as PID and LQR (Linear Quadratic Regulator) have been

W.K. Lai, M.F. Rahmat, N. Abdul Wahab

International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 3, 624–644

Research Article | 20-February-2013

FEED FORWARD LINEAR QUADRATIC CONTROLLER DESIGN FOR AN INDUSTRIAL ELECTRO HYDRAULIC ACTUATOR SYSTEM WITH SERVO VALVE

for model estimation and Auto Regressive with eXogeneous input (ARX) model is chosen as model structure of the system. Based on the input and output data of the system, best fit criterion and correlation analysis of the residual is analyzed to determine the adequate model to represent the EHA system. Once the model is obtained, discrete PID and feed forward plus Linear Quadratic Regulator (LQR) controller is developed to improve the performance and position tracking performance of EHA system. In

J. Micheal, M.F. Rahmat, N. Abdul Wahab, W.K. Lai

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 155–170

Research Article | 01-September-2011

ACCURACY COMPARISON OF ARX AND ANFIS MODEL OF AN ELECTRO-HYDRAULIC ACTUATOR SYSTEM

Precise control of electro-hydraulic actuator (EHA) system has been an interesting subject due to its nonlinearities and uncertainties characteristics. Good control can be designed when precise model of the system is available. Linear ARX modelling has widely been applied and satisfying result has been obtained, through linearization process. The objective of this paper is to compare ARX model with nonlinear ANFIS (Adaptive Neuro-Fuzzy Inference System) model, which can represent the real EHA

M. F. Rahmat, T. G. Ling, A. R. Husain, K. Jusoff

International Journal on Smart Sensing and Intelligent Systems, Volume 4 , ISSUE 3, 440–453

Article | 03-November-2017

MODELING AND CONTROLLER DESIGN FOR THE VVS-400 PILOT SCALE HEATING AND VENTILATION SYSTEM

In this paper, a heating and ventilation model VVS-400 from Instrutek, Larvik, Norway is modeled using ARX model structure and linear black-box technique. The conventional PID controller and artificial Fuzzy controller are designed based on the approximated plant model and real plant model. The approximated plant model is estimated using System Identification approach while the real plant model is developed by interfacing the Real-time Windows Target toolbox in Matlab with real VVS-plant by

M.F. Rahmat, N.A. Mohd Subha, Kashif M.Ishaq, N. Abdul Wahab

International Journal on Smart Sensing and Intelligent Systems, Volume 2 , ISSUE 4, 579–601

Research Article | 13-December-2017

APPLICATION OF DRAW WIRE SENSOR IN POSITION TRACKING OF ELECTRO HYDRAULIC ACTUATOR SYSTEM

MF Rahmat, S Md Rozali, N Abdul Wahab, Zulfatman

International Journal on Smart Sensing and Intelligent Systems, Volume 3 , ISSUE 4, 736–755

Article | 05-June-2013

A SIMPLIFIED MODEL STRUCTURE FOR AN ACTIVATED SLUDGE SYSTEM

an activated sludge system using neuro-fuzzy system. Efficiency, ease of use, effectiveness and fast convergence are some of the alluring qualities of neuro-fuzzy technique. Building a reliable and flexible model requires validation with full scale or experimental data. Therefore, with the use of the full-scale data from the domestic wastewater treatment plant in Malaysia, the validation was achieved. For comparison, auto regressive with exogenous input (ARX) model was used. Simulation studies

M.S. Gaya, N. A. Wahab, Y. M. Sam, A.N Anuar, S.I. Samsuddin, M.C Razali

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 3, 1167–1179

Research Article | 27-December-2017

MODEL IDENTIFICATION AND CONTROLLER DESIGN FOR AN ELECTRO-PNEUMATIC ACTUATOR SYSTEM WITH DEAD ZONE COMPENSATION

Pneumatic actuator system is inexpensive, high power to weight ratio, cleanliness and ease of maintenance make it’s a choice compared to hydraulic actuator and electromagnetic actuator. Nonetheless, the steady state error of the system is high due to the dead zone of the valve. In this paper, an Auto-Regressive with External Input (ARX) model structure is chosen to represent the pneumatic actuator system. The recursive least square method is used to estimate the model parameters. The pole

N. H. Sunar, M. F. Rahmat, Zool Hilmi Ismail, Ahmad Athif Mohd Faudzi, Sy Najib Sy Salim

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 2, 798–819

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