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A Study on Parallel Force/Position Control Applied to Hybrid Electro-Hydrostatic Actuators
Dinh Quang Truong1,Ahn Kyoung Kwan 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Hydraulic power systems and actuators play an important role in modern industry. In order to improve the control performance of electro-hydrostatic actuator (EHA), the aim of this paper is to propose a novel parallel control strategy named parallel self tuning Quantitative Feedback Theory (PSTQFT) to apply to control force and position of a new kind of hydraulic experimental system named electro-hydrostatic load simulator (EHLS). The PSTQFT controller is designed based on QFT technique for both the force and position control of the EHLS. Then the parameters of the PSTQFT force and position controller are automatically tuned online to minimize the system error by using gradient descent method and speed up convergence. Experiments are carried out to evaluate the effectiveness of the proposed parallel force and position control method applied to the EHLS system.
Truong, Dinh Quang,Ahn, Kyoung Kwan,Trung, Nguyen Thanh,Lee, Jae Shin SAGE Publications 2013 Proceedings of the Institution of Mechanical Engin Vol.227 No.10
<P>Variable-displacement vane-type oil pumps represent one of the most innovative pump types for industrial applications, especially for engine lubrication systems. The aim of this paper is to develop a complete and accurate mathematical model for a typical variable-displacement vane-type oil pump to investigate its working performance. First, the detailed theoretical model was built on the basis of pump geometric design and dynamic analyses. Next, numerical simulations with the constructed model and experiments on the actual pump system were carried out to analyse the main power loss factors in order to develop the complete model for high modelling accuracy. The estimated pump performance using the complete pump model was finally verified by numerical simulations in comparison with practical tests.</P>
Theoretical investigation of a variable displacement vane-type oil pump
Truong, Dinh Quang,Ahn, Kyoung Kwan,Trung, Nguyen Thanh,Lee, Jae Shin SAGE Publications 2013 Proceedings of the Institution of Mechanical Engin Vol.227 No.3
<P>Variable displacement vane-type oil pumps represent one of the most innovative pump types for industrial applications, especially for engine lubrication systems. This article deals with a mathematical modeling method for theoretical performance investigation of a typical variable displacement vane-type oil pump. This theoretical model is based on the pump geometric design and dynamic analyses. It can be considered as a generation step for a deeper understanding of the pump operation as well as for effectively implementing the pump control mechanisms to satisfy the urgent demands of engine lubrication systems. The developed theoretical pump model is finally illustrated by numerical simulations.</P>
Dinh Quang Truong,Kyoung Kwan Ahn,Doan Ngoc Chi Nam,Jong Il Yoon 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
An ion polymer metal composite (IPMC) is an electro-active polymer that bends in response to a small applied electrical field as a result of mobility of cations in the polymer network and vice versa. This paper presents a novel accurate nonlinear black-box model (NBBM) for estimating the bending behavior of IPMC. The NBBM is based on a recurrent multi-layer perceptron neural network (RMLPNN) and a self-adjustable learning mechanism (SALM). The model parameters are optimized by using training data. A comparison of the estimated and real IPMC bending characteristic has been done to investigate the modeling ability of the designed NBBM.
A STUDY ON HYDRAULIC LOAD SIMULATOR USING ONLINE SELF TUNING FUZZY PID TECHNIQUE
Dinh Quang Truong,Ahn Kyoung Kwan,Yoon Hong Soo,Ho Triet Hung 대한기계학회 2007 대한기계학회 춘추학술대회 Vol.2007 No.10
Nowadays, hydraulic actuator has a wide range of application fields where controlled forces or pressures with high accuracy and fast response are the most significant demands. This paper presents a new kind of hydraulic load simulator for conducting performance and stability test for control force of hybrid systems. In order to improve the control performance of loading system an online self tuning fuzzy PID controller is designed. Experiments are carried out to evaluate the effectiveness of the proposed controller applied for load simulator with varied external disturbance.
Force-Sensorless Damping Control for Damping Systems using MR Dampers
Dinh Quang Truong,Kyoung Kwan Ahn 제어로봇시스템학회 2011 제어로봇시스템학회 국제학술대회 논문집 Vol.2011 No.10
Recently, magneto-rheological (MR) fluid dampers are semi-active control devices that have begun to receive more attention. This paper presents a novel force-sensorless control method for a damping system using a MR damper. The control method is constructed by two models designed based on fuzzy-neural technique, a nonlinear black-box model (BBM) and an inverse black-box model (IBBM). By employing a fuzzy mapping system optimized by neural network technique including back-propagation and gradient descent method, the BBM model can estimate directly the damper characteristics. The inverse model, IBBM with self-learning ability, was then derived based on the BBM with the optimized parameters and neural network technique. Consequently, the designed BBM and IBBM models can be used as a ‘virtual’ force sensor and an adaptive force controller, respectively, to perform a closed-loop feedback control for any damping system which uses the corresponding MR fluid damper. Effectiveness of the proposed models for modeling as well as the force-sensorless damping control technique has been clearly verified through simulations and real-time experiments on two vibrating systems employing the same MR fluid damper series.
Dinh Quang Truong,Kyoung Kwan Ahn,Jong Il Yoon 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
This paper presents an application of an electro-hydraulic actuator (EHA) and a novel control method ?online tuning modified-Grey fuzzy PID controller (OTMGFPID) to a steel rolling machine (SRM) in POSCO Corp. in order to improve its working performance. In this SRM, the center position of the roller, which affects directly the rolling quality, is controlled by the EHA system instead of using a conventional servo hydraulic actuator (SHA). To enhance the center position control (CPC) performance, the OTMGFPID which is a combination of a main control unit, online tuning fuzzy PID controller (OTFPID), and an online tuning modified-Grey predictor (OTMGP) is designed for the EHA. The OTMGP with self tuning ability of its predictor step size based on fuzzy technique (called FPSS) is used to estimate the actual system output and to create a compensating control signal corresponding to the system perturbations, consequently, improving the control quality. The ability of using the EHA and OTMGFPID controller for the SRM with CPC is verified by simulated force control target of a press machine using EHA. Simulation results prove that the EHA as well as the proposed controller has strong potential to be applied for CPC of the SRM.