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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.
Development of an Electronically Controlled Variable Displacement Vane Pump for Engine Lubrication
DINH QUANG TRUONG,BUINGOC MINH TRUONG,안경관,이재신 한국정밀공학회 2015 International Journal of Precision Engineering and Vol. No.
Lubrication is one of the most important factors in developing internal combustion engines. And vane pumps are known as potential choices for conducting the engine lubrication systems. To better optimize the lubrication performance, an electronically controlled variable displacement vane pump developed from a typical vane pump is newly introduced in this paper. Firstly, the concept and methodology to design properly an electric actuator to provide an additionally degree of pump control by regulating the pump displacement is carefully considered. Secondly, a control logic is developed to manage the operation of the actuator and subsequently, smoothly varying the pump output in order to satisfy any given lubrication profile. Finally, test rigs are setup to investigate the performances of the fabricated actuator and pump prototype. Practical tests are performed to evaluate the effectiveness of the newly pump design over the typical one.
Design of a Modified Grey Model MGM(1,1) for Real-Time Control of Wave Energy Converters
Dinh Quang Truong,Kyoung Kwan Ahn,Jong Il Yoon,Kim Cheon 제어로봇시스템학회 2011 제어로봇시스템학회 국제학술대회 논문집 Vol.2011 No.10
This paper presents a simple and precise wave prediction method for applications to real-time control of wave energy converters (WECs). The proposed prediction method is based on a so-called modified grey model with first order ? one variable ? MGM(1,1). This model was developed from the conventional grey model ? GM(1,1) in which the background series used to establish grey differential equation was designed to be obtained by an exact solution, consequently, improving the model accuracy. The model can predict well online any wave parameter at any future time-series point while only requiring a few of its historical data. In order to validate the applicability of the proposed approach, ocean wave data during several years at different offshore areas in South Korea was observed for the investigation. A comparison between prediction results of using the suggested grey model, the traditional grey model and a typical autoregressive (AR) model has been also carried out to evaluate the prediction performances.
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,Ahn Kyoung Kwan,Jong Il Yoon 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
Nowadays, hydraulic actuators play an important role in a modern industry where controlled force or position with high accuracy is the most significant demand. This paper presents a new kind of electric-hydraulic load simulator (HLS) for conducting performance and stability test in the bench system where force control is important. The system model consists of a hybrid hydro-electric actuator and another hydraulic circuit generating disturbances. For the purpose of improving force control performance of hydraulic hybrid systems, an online tuning force controller based Quantitative Feedback Theory (QFT) technique is applied to the load simulator and also proposed in this paper. The controller is firstly designed to satisfy the robust performance requirement, tracking performance specification, and disturbance attenuation despite uncertainties of the load simulator system. Secondly, by using gradient descent method it becomes an online tuning QFT controller during the system operation process to adapt with a wide range of working conditions including perturbations. Experiments are carried out to evaluate the effectiveness of the proposed control method applied for the electric-hydraulic load simulator systems.
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.
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.