Jun-Young Lee
Daegu Gyeongbuk Institute of Science and Technology
12 Papers
98 Citations
Jun-Young Lee is an academic researcher from Daegu Gyeongbuk Institute of Science and Technology. The author has contributed to research in topics: AC power & Plasma display. The author has an hindex of 7, co-authored 12 publications.
Chat about Author
Papers
Adaptive Integral Sliding Mode Control With Time-Delay Estimation for Robot Manipulators
TL;DR: The proposed controller employs TDE to estimate robot dynamics with uncertainties such as parameter variations and disturbances, an integral sliding surface to eliminate the reaching phase together with the noise-sensitive switching action in the conventional sliding mode control, and adaptation gain dynamics to achieve the applicable high accuracy.
272
Variable PID Gain Tuning Method Using Backstepping Control With Time-Delay Estimation and Nonlinear Damping
TL;DR: The equivalence relationship between a discrete PID control and a discrete backstepping control with time-delay estimation and nonlinear damping is clarified, and the variable gains of the PID controller are automatically tuned with a non linear damping component.
83
An Adaptive Gain Dynamics for Time Delay Control Improves Accuracy and Robustness to Significant Payload Changes for Robots
TL;DR: This paper proposes an adaptive gain dynamics that is more effective in payload changes and yet simpler to implement, having only one tuning parameter, whereas the existing methods require four or five such tuning parameters.
68
Design of a power-factor-correction converter based on half-bridge topology
TL;DR: A single-stage AC/DC converter based on a half-bridge topology suitable for low-power-level applications has been proposed and a prototype meets the IEC 61000-3-2 regulations with near-unity power factor and high efficiency.
49
Control of Robot Manipulators Using Time-Delay Estimation and Fuzzy Logic Systems
TL;DR: A highly accurate model-free controller is proposed for trajectory tracking control of robot manipulators that incorporates time-delay estimation (TDE) to estimate and cancel continuous nonlinearities of robot dynamics, and exploits fuzzy logic systems to suppress the effect of the TDE error.
35