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  • In Jour Smart Sensing And Intelligent Systems

 

Research Article | 01-June-2011

SELF-TUNING CONTROL OF AN ELECTRO-HYDRAULIC ACTUATOR SYSTEM

Due to time-varying effects in electro-hydraulic actuator (EHA) system parameters, a self-tuning control algorithm using pole placement and recursive identification is presented. A discrete-time model is developed using system identification method to represent the EHA system and residual analysis is used for model validation. A recursive least square (RLS) method with covariance resetting technique is proposed to estimate parameters of the discrete-time model. The results show the proposed

R. Ghazali, Y. M. Sam, M. F. Rahmat, K. Jusoff, Zulfatman, A. W. I. M. Hashim

International Journal on Smart Sensing and Intelligent Systems, Volume 4 , ISSUE 2, 189–204

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

The essential oil is mostly depends on the temperature. The temperature will influence the final product of the extraction process. The existing steam distillation processes are giving less intention on this issue. This work implemented the robust self-tuning fuzzy PID (STFPID) controller to monitor the steam temperature in the hydro-diffusion essential oil extraction system. The hydro-diffusion system is built to overcome some weakness of existing systems. The effectiveness of the STFPID using

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-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 | 05-June-2013

AUTO-ADAPTIVE CONTROL OF A ONE-JOINT ARM DIRECT DRIVEN BY ANTAGONISTIC SHAPE MEMORY ALLOY

This paper pursues a promising approach to obtain strain feedback based angular motion control of a manipulator for any robotic application. The proposed single degree of freedom manipulator uses antagonistic shape memory alloy (SMA) actuated wires. Antagonistic SMA actuated structures employ opposing pairs of one-way SMA actuators to create systems capable of a fully reversible response. A self-tuning PID type fuzzy (auto adaptive) based control scheme is designed and implemented

D Josephine Selvarani Ruth, S Sunjai Nakshatharan, K Dhanalakshmi

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 3, 833–849

Research Article | 27-December-2017

SELF-TUNING FUZZY SPEED CONTROLLER OF TRAVELLING WAVE ULTRASONIC MOTOR

Jingzhuo Shi, Juanping Zhao, Zhe Cao, Yunpeng Liang, Lan Yuan, Bin Sun

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 1, 301–320

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