Mingyu Jeong (Undergraduate Student)

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Undergraduate Student (B.S), Embedded System-on-Chip Integrator
AI-Embedded System/Software on Chip (AI-SoC) Lab
School of Electronics Engineering, Kyungpook National University
Phone: +82 053 940 8648
E-mail: dwrgt11 [@] naver[DOT] com
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Repository Commit History

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Introduction

Full Bio Sketch

Mr. Jeong is currently doing his undergraduate degree in Electronics Engineering at Kyungpook National University, Daegu, Republic of Korea. His research focuses on adaptive embedded control systems under real-time constraints, particularly for robust and efficient operation in embedded environments.

Research Topic

Recursive Kp Adjustment for Adaptive PID Control Error Compensation Under Timing Constraints

Conventional PID controllers with fixed gain values often fail to provide reliable performance in the presence of unexpected high-frequency noise or external disturbances. These fixed-coefficient systems can struggle to maintain stability and may take a long time to return to the desired state, particularly in real-time embedded environments where timing constraints are strict.

In this study, an adaptive PID control system is presented that dynamically adjusts the proportional gain (Kp) in response to real-time output conditions. When high-frequency noise is detected, the system reduces Kp to narrow the bandwidth of the closed-loop transfer function, minimizing sensitivity to rapid fluctuations. Conversely, when an external disturbance causes the output to deviate from the target, Kp is increased to enhance damping and speed up recovery.

To ensure that all essential computations such as control, noise detection, and disturbance compensation are completed within the limited time of each control cycle, this study adopts the Goertzel algorithm instead of the conventional FFT for frequency analysis. While FFT requires collecting a large number of samples before performing a full computation, the Goertzel algorithm uses a recursive structure that allows calculations to be updated incrementally as each sample is received. This approach significantly reduces computation time and enables efficient real-time processing. As a result, the system is able to maintain both stability and responsiveness, making it suitable for robust control in embedded applications.

Publications

Journal Publications

Conference Publications (Intl. 1)

  • Mingyu Jeong and Daejin Park. Recursive Kp Adjustment for Adaptive PID Control Error Compensation Under Timing Constraints In IEEE Global Conference on Consumer Electronics (GCCE) 2025.

Participation in International Conference (Intl. )

  • IEEE GCCE 2025, Osaka, Japan

Last Updated, 2025.06.02