Sungkyunkwan University · Engineering
Professor Ton Hoang Nguyen's research lab specializes in advanced control strategies for electric machines, particularly permanent magnet synchronous motors (PMSMs), with a focus on enhancing robustness and accuracy under uncertain and dynamic operating conditions. The lab develops innovative control techniques such as adaptive sliding mode control, disturbance observers, model predictive control, and advanced encoder signal processing to mitigate the effects of parameter uncertainties, external load variations, and sensor signal distortions. Key research directions include disturbance estimation and feedforward compensation, anti-windup mechanisms for input saturation, and high-precision position and speed control in mechatronic systems. The lab emphasizes practical implementation and real-time performance, integrating theoretical rigor with engineering applications in industrial automation and motion control.
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This article proposes an adaptive sliding-mode control (ASMC) with a modified reduced-order proportional integral observer (MROPIO) to provide speed control for a permanent magnet synchronous motor against unknown disturbances, such as system parameter uncertainties and external load torque variation. The ASMC method, based on a new sliding-mode reaching law, improves chattering in the control signal and reduces the time required for the system trajectory to reach the sliding-mode surface. The M
To provide reliable position control for a permanent-magnet synchronous motor (PMSM) under conditions of lumped disturbances such as external load torque fluctuation and system parameter variation, an adaptive backstepping sliding-mode control (ABSMC) with a nonlinear disturbance observer (NDO) is proposed. An ABSMC is a non-cascade technique that employs a position-current single-loop control structure rather than a conventional cascade control structure for vector control of the PMSM. This met
This article proposes a method to improve the accuracy of a vernier absolute magnetic encoder. The encoder consists of a master and a nonius multipolar magnetic track. Sinusoidal signals from the master and nonius tracks are used to infer the absolute information. Unfortunately, these signals are contaminated by nonideal factors such as different amplitudes, dc-offsets, phase shifts, and random noise. Moreover, harmonics existing in the encoder signals distort the vernier principle and significa
In this study, we propose a modified model predictive control (MMPC) approach combined with an adaptive second-order disturbance observer (ASDO) for efficient speed control of permanent magnet synchronous motors in the presence of unknown disturbances, such as system parameter variations and external load torque. The MMPC incorporates feedforward reference compensation (FFRC) and a posterior constraint compensation (PCC) technique. When the motor operates on a nonconstant velocity profile, the F
This paper proposes an adaptive sliding mode control combined with a disturbance observer method for permanent magnet synchronous motors (PMSMs). The main advantages of the proposed method are that it improves speed control of the motor when parameter uncertainties and external load torque exist in the speed loop as an unknown disturbance. First, a sliding mode control method based on an adaptive sliding mode reaching law (ASMRL) is proposed to improve sliding mode chattering. Then, considering
This paper presents an anti-windup composite adaptive speed controller (AW-CASC) for permanent-magnet synchronous motors (PMSMs) operating under parameter uncertainties, external load torque, and input saturation. The proposed AW-CASC integrates three components, an adaptive compensation control (ACC) term, an adaptive proportional-integral (API) controller, and an anti-windup (AW) mechanism, and is therefore referred to as AW[API-ACC]. The ACC compensates for unknown disturbances using an adapt
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