Prof. Dr. Chung Choo Chung

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Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 February 2018 in IEEE Transactions on Industrial Electronics

Journal Article

Improved Direct Power Control for Grid-Connected Voltage Source Converters

A novel grid voltage modulated direct power control (GVM-DPC) strategy for a grid-connected voltage source converter is proposed to control the instantaneous active and reactive powers directly. The GVM-DPC method consists of a nonlinear GVM controller, a conventional controller (feedforward and PI feedback), and nonlinear damping. The proposed control strategy shows a relationship between DPC and voltage-oriented control methods designed in d-q frame. The main advantage is that the proposed method makes the system be a linear time-invariant system, which enables us to apply various control methods easily. The GVM-DPC guarantees not only the convergence rate but also the steady-state performance of the system. Moreover, it is ensured that the closed-loop system is exponentially stable. Finally, simulation and experimental results using a 2.2-kVA VSC are provided to validate the tracking performance and robustness of the proposed control architecture. In addition, the total harmonic distortion of the current is 1.9% which is much less than the requirement for grid operation.

29 June 2017 in IEEE Transactions on Industrial Electronics

Journal Article

LPV $\mathcal {H}_\infty$ Control with Disturbance Estimation for Permanent Magnet Synchronous Motors

Youngwoo Lee

Seung-Hi Lee

Chung Choo Chung

This paper presents an H _∞ controller with an 'H _∞ state estimator using a linear parameter-varying (LPV) model of permanent magnet synchronous motor (PMSM). The proposed control method comprises a nonlinear torque modulation, an LPV H _∞ state estimator, and an LPV H _∞ state feedback controller. The use of nonlinear torque modulation enables formulation of the electromechanical dynamics of the PMSM in the form of an LPV system. The LPV H _∞ state estimator is designed to estimate the velocity, currents, and disturbance based solely on position measurement. We introduce a vertex expansion technique to cover all operating points of an LPV system. A velocity tracking controller is designed in the frame work of H _∞ control to be robust against disturbance. The proposed controller was implemented and validated with a motor generator set consisting of two PMSMs. Experimental results are presented to validate the effectiveness of the proposed method compared to conventional field-oriented control. These results show improved transient responses to velocity reference in the presence of disturbance.

21 December 2021 in IEEE Transactions on Industrial Informatics

Journal Article

Horizonwise Model-Predictive Control With Application to Autonomous Driving Vehicle

Woo Young Choi

Seung-Hi Lee

Chung Choo Chung

In this article, we present an innovative approach, i.e., horizonwise model-predictive control (H-MPC), to solve the model-predictive control (MPC) problem of a linear time-varying (LTV) system. In H-MPC, we regard the time-varying parameters as time invariant within the prediction horizon. To solve the MPC problem of the time-varying system, the decision variable is decomposed into two terms: one for linear time-invariant optimization and the other for compensating LTV uncertainties with an introduction to a uniform compensation condition. The proposed H-MPC solves the time-varying problem by removing the uncertainty due to the future parameter variations within the horizon and by updating the time-invariant MPC at each sampling time. To validate the usefulness of the proposed H-MPC, it is applied to lane tracking control for an autonomous driving vehicle. From a comparative study of the H-MPC and conventional MPCs in lane tracking control, it is confirmed that the proposed H-MPC has a competitive performance compared to LTV-MPC despite its much simpler structure.

8 August 2018 in IEEE Transactions on Vehicular Technology

Journal Article

Multirate Lane-Keeping System With Kinematic Vehicle Model

Chang Mook Kang

Seung-Hi Lee

Chung Choo Chung

In this paper, a novel multirate lane-keeping system (LKS) is introduced by using a kinematic-based model considering a look-ahead distance. First, we developed a kinematic lateral motion model for LKS with respect to the road. To increase a system damping of vehicle, the unique look-ahead output measurement matrix was introduced. The decentralized multirate lane-keeping control scheme with a multirate Kalman filter was also applied to resolve the asynchronous and irregular sampling time of multi sensors in autonomous vehicles. We validated the performance of the proposed kinematic-based multirate LKS using the dynamic vehicle solver CarSim, MATLAB/Simulink, and electric power steering hardware-in-the-loop system. Experimental validation was also conducted using a real test vehicle. Both simulation and experimental results showed that the proposed kinematic-based LKS performed lane-keeping capability comparable to that of dynamic-based LKS. In particular, the experimental results showed that the proposed method, compared to a human driver, can also maintain the lane within reasonable specifications. The experimental validation was performed at vehicle speeds of up to 120 km/h.

5 August 2023 in International Journal of Control, Automation, and Systems

Journal Article

Koopman Operator-based Model Identification and Control for Automated Driving Vehicle

Jin Sung Kim

Ying Shuai Quan

Chung Choo Chung

5 April 2022 in IEEE Transactions on Industrial Electronics

Journal Article

Lateral Vehicle Trajectory Planning Using a Model Predictive Control Scheme for an Automated Perpendicular Parking System

Dae Jung Kim

YongWoo Jeong

Chung Choo Chung

This article proposes a lateral vehicle trajectory planning and control algorithm using a model predictive control (MPC) scheme for an automated perpendicular parking system. Previous work showed that approximated clothoid-based local path planning using a virtual towing distance provides low computational time and the stability of lateral vehicle motion in a parking system. However, this approach cannot function in certain parking situations and may cause undesirable steering maneuvers due to state-dependent planning. We present a new approximated clothoid path based on lateral vehicle kinematics to cope with these problems. Using the proposed kinematic model, we formulate an MPC problem for path planning. Then, the proposed lateral vehicle trajectory planning becomes an MPC problem under constraints. Besides, we show that lateral vehicle motion for vertical parking can be implemented using simple kinematic lateral motion control. Experimental results show that the vehicle with the proposed method moves smoothly and completes the given parking mission under constraints, even under tight parking space conditions.

About Me

Chung Choo Chung received his B.S. and M.S. degrees in electrical engineering from Seoul National University, Seoul, South Korea, and his Ph.D. degree in electrical and computer engineering from the University of Southern California, Los Angeles, CA, USA, in 1981, 1983, and 1993, respectively. In 1997, he joined the Faculty of Hanyang University, Seoul, South Korea. Dr. Chung was an Associate Editor for the Asian Journal of Control from 2000 to 2002, the IEEE TRANSACTIONS ON CONTROL SYSTEM TECHNOLOGIES(TCST) from 2013 to 2018, the IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS from 2016 to 2018, and a (Founding) Editor for the International Journal of Control, Automation and Systems(IJCAS) from 2003 to 2005. He served as an associate editor and/or a senior editor for various international conferences, such as the IEEE CONFERENCE ON DECISION AND CONTROL(CDC), the American Control Conferences(ACC), the IEEE Intelligent Vehicles Symposium(IV), and the Intelligent Transportation Systems Conference(ITSC). He was a guest editor for a special issue on advanced servo control for emerging data storage systems published by TCST, 2012, and also a guest editor for the IEEE Intelligent Transportation Systems Magazine, 2017. Dr. Chung was the 2018 President of the Institute of Control, Robotics and Systems(ICROS), Korea, and was also a general chair of CDC 2020 to be held in Jeju, Korea, 2020. He is a member of the National Academy of Engineering of Korea (NAEK).

Prof. Dr. Chung Choo Chung

Prof. Dr. Chung Choo Chung

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