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  • In Jour Smart Sensing And Intelligent Systems

 

Article | 01-June-2012

CONTINUOUS TIME IDENTIFICATION AND DECENTRALIZED PID CONTROLLER OF AN AEROTHERMIC PROCESS

The interactions between input/output in multivariable processes represent a major challenge in the design of decentralized controllers. In this paper, a simple method for the design of decentralized PID controller is proposed. It consists to combine the conventional PID controller with the static decoupler approach. For each single loop, the individual controller is independently designed by applying the internal model control (IMC) tuning rules. To demonstrate the effectiveness of the

M. Ramzi, H. Youlal, M. Haloua

International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 2, 487–503

Article | 03-November-2017

APPLICATION OF SELF-TUNING FUZZY PID CONTROLLER ON INDUSTRIAL HYDRAULIC ACTUATOR USING SYSTEM IDENTIFICATION APPROACH

In this paper, Self Tuning Fuzzy PID controller is developed to improve the performance of the electro-hydraulic actuator. The controller is designed based on the mathematical model of the system which is estimated by using System Identification technique. The model is performed in linear discrete model to obtain a discrete transfer function for the system. Model estimation procedures are done by using System Identification Toolbox in Matlab. Data for model estimation is taken from an

Zulfatman, M. F. Rahmat

International Journal on Smart Sensing and Intelligent Systems, Volume 2 , ISSUE 2, 246–261

Article | 16-December-2013

REAL TIME STEAM TEMPERATURE REGULATION USING SELF-TUNING FUZZY PID CONTROLLER ON HYDRO-DIFFUSION ESSENTIAL OIL EXTRACTION SYSTEM

25 rules and PID controller is measured by using performance indices of settling time, rise time, percentage overshoot (%OS) and root mean square error. The step responses analysis and robustness test show that STFPID and PID controller are able to drive the steam temperature to the desired set point However, the analysis shows that STFPID produces better performances based on set point tracking and adoption of load disturbance.

Zakiah Mohd Yusoff, Zuraida Muhammad, Mohd Hezri Fazalul Rahiman, Mohd Nasir Taib

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 5, 2055–2074

Article | 01-September-2012

MODELING AND CONTROLLER DESIGN OF PNEUMATIC ACTUATOR SYSTEM WITH CONTROL VALVE

applied for controller design. PID controllers with Ziegler Nichols tuning are enabled to provide good performance in various systems. The effects of Tustin transformation, zero order hold and discrete model are tested in PID controller designed. The methodology for this paper combines off-line model based on analysis with on-line iteration. Different external loads are added in order to investigate the effectiveness to the designed controllers in real time system. The tracking performance of the

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

discrete PID controller by minimize the phase lag and reduce disturbance effect in the system.

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

Article | 01-September-2016

VALVE BARREL POSITION CONTROL BASED ON SELF-TUNING FUZZY PID WITH PARTICLE SWARM OPTIMIZATION

This paper introduced the self-tuning fuzzy PID controller based on particle swarm optimization which aims to gain more precise control over the position of pneumatic proportional valve barrel, where particle swarm works to optimize the membership function, fuzzy rule and PID parameter in fuzzy control. The study fruits also include online optimization of the self-tuning fuzzy PID controller parameters. Comparing to the conventional control methodology, The self-tuning fuzzy PID controller with

Zhang Haiyan, Song Lepeng, Dong Zhiming

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 3, 1497–1515

Article | 01-September-2012

IMPERIALIST COMPETITIVE ALGORITHM-BASED FUZZY PID CONTROL METHODOLOGY FOR SPEED TRACKING ENHANCEMENT OF STEPPER MOTOR

degradation of the control action. The main purpose of this paper is to provide an intelligent approach for improving the functionality of conventional PID controller in the problem of trajectory tracking in permanent magnet stepper motor (PMSM). Combination of a meta-heuristic algorithm called imperialist competitive algorithm (ICA) and fuzzy logic is employed for online tuning of PID controller. This, consequently, establishes an intelligent structure, fuzzy-PID controller (FPID), which is more flexible

Amir Mehdi Yazdani, Ahmadreza Ahmadi, Salinda Buyamin, Mohd Fua’ad Rahmat, Farshad Davoudifar, Herlina Abd Rahim

International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 3, 717–741

Article | 16-December-2013

SYSTEM IDENTIFICATION MODELLING AND IMC BASED PID CONTROL OF IMPRESSED CURRENT CATHODIC PROTECTION SYSTEMS

parametric model of this system was obtained using System Identification (SI) approach.Furthermore,an Internal Model Control based Proportional Integral Derivative (IMC-PID) controller has been designed for enhancingthe performance of ICCP systems.Additionally, simulation and onlineimplementation works have been carried out to control ICCP systems at different operating conditions. Nevertheless, the IMC-PID controller leads todecrease both the Integral of the Absolute Error (IAE) and the Steady State

EzzEldin Balla, MohdFua’ad Rahmat

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 5, 2055–2074

Article | 01-December-2012

DECENTRALIZED PI-D CONTROLLER APPLIED TO AN AEROTHERMIC PROCESS

annul the effect of this interaction, this paper presents an experimental comparison between three forms of the PID controller: the conventional PID controller, the PI-D controller and its decentralized version. A multi-variable continuous state space model is obtained from on-line experimental data. The outcome of the experimental results is that the main control objectives, such as set-point tracking and interactions rejection, are well achieved for the temperature and the air flow simultaneously.

M. Ramzi, N. Bennis, M. Haloua, H. Youlal

International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 4, 1003–1018

Article | 05-June-2013

PLC BASED ADAPTIVE FUZZY PID SPEED CONTROL OF DC BELT CONVEYOR SYSTEM

the main controller which is the Adaptive Fuzzy PID Speed controller. Both controllers are implemented in a real hardware where the algorithm will be written in PLC using SCL language. The experimental result shows that Adaptive Fuzzy PID controller performs better and adapted to the changes in load much faster than the conventional PID controller. This project has also proved that PLC is capable of performing high level control system tasks.

Mohd Heidir Mohd Shah, Mohd Fua’ad Rahmat, Kumeresan A. Danapalasingam, Norhaliza Abdul Wahab

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 3, 1133–1152

Research Article | 13-December-2017

Iterative Feedback Tuning (IFT) of Head Positioning Servomechanism in Hard Disk Drive

A. Al Mamun, K.C. Tan, W.E. Wong

International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 1, 1–16

Research Article | 13-December-2017

APPLICATION OF INTELLIGENT CONTROLLER IN A BALL AND BEAM CONTROL SYSTEM

Mohd Fuaad Rahmat, Herman Wahid, Norhaliza Abdul Wahab

International Journal on Smart Sensing and Intelligent Systems, Volume 3 , ISSUE 1, 45–60

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

Article | 01-June-2016

FRACTIONAL ORDER CONTROLLER BASED FUZZY CONTROL ALGORITHM FOR SWITCHED RELUCTANCE MOTOR

. On the basis of fuzzy rules, using this control algorithm to adaptive SRM torque control, and using speed deviation and deviation changing rate as its input, the SRM turn torque ripple is smaller by changing proportional coefficient, integral order and differential order of the fuzzy inference adaptive fractional order PID controller. The simulation results indicate that the control algorithm is feasible, torque ripple of switched reluctance motor is smaller, dynamic response is better.

Yang Congkun, Chen Chaobo, Fu Yongsheng

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 864–883

Article | 01-June-2016

A PID BASED ANFIS & FUZZY CONTROL OF INVERTED PENDULUM ON INCLINED PLANE (IPIP)

trial and error method. The ANFIS controller were trained using data sets generated from simulation results of PID controller. The ANFIS controllers were designed using only three membership functions. A fuzzy logic control of the proposed system is also shown using nine membership functions. The study compares the three techniques in terms of settling time, maximum overshoot and steady state error. The simulation results are shown with the help of graphs and tables which validates the effectiveness

Ashwani Kharola

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 616–636

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 | 01-June-2015

INTELLIGENT NEURAL NETWORK CONTROL STRATEGY OF HYDRAULIC SYSTEM DRIVEN BY SERVO MOTOR

that the controller and its optimization algorithm can effectively improve the system performance, and the system has no steady-state error, good dynamic performance and good robustness, superior to conventional fuzzy controller and PID controller.

Ma Yu

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 1406–1423

Research Article | 01-June-2017

OUTPUT BASED INPUT SHAPING FOR OPTIMAL CONTROL OF SINGLE LINK FLEXIBLE MANIPULATOR

Nura Musa Tahir, Sabo Miya Hassan, Zaharuddin Mohamed, Ahmed Garba Ibrahim

International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 2, 367–386

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