https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/191 Sat, 04 Jul 2026 03:44:20 GMT 2026-07-04T03:44:20Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/213215 Title: In-situ vehicular soot sensor optimization based on quartz-enhanced photoacoustic spectroscopy Authors: Han, Jeongwoon; Hong, Joonhyeok; Rajasegar, Rajavasanth; Lee, Tonghun; Lim, Myung-Seop; Yoo, Jihyung Abstract: A quartz-enhanced photoacoustic spectroscopy (QEPAS)-based soot sensor was optimized for rapid and in-situ vehicular emission measurements. To mitigate vibration-induced interference and enhance the sensor's signal intensity, hardware refinements such as off-line transducer coupling and acoustic micro-resonators were implemented. Additionally, a method for tracking changes in transducer resonance frequency was implemented to minimize measurement uncertainty, particularly under prolonged exposure to high temperatures and heavy sooting conditions. Consequently, experimental results demonstrated a four-fold increase in signal level and a reduction in measurement uncertainty exceeding 67%. The total measurement duration was maintained within 3 s, including data processing, to ensure high temporal resolution. Sat, 01 Aug 2026 00:00:00 GMT https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/213215 2026-08-01T00:00:00Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/214014 Title: Complex Vector Harmonic Current Controller Based on Multiple Synchronous Reference Frame for Harmonic Reduction Considering Saliency and Flux Saturation of IPMSMs Authors: Lee, Yun-Jae; Kim, Hwigon; Kang, Sung-Ho; Yoon, Young-Doo Abstract: In this paper, a harmonic current controller based on the multiple synchronous reference frame (MSRF) is proposed to achieve stable harmonic current control in an interior permanent magnet synchronous motor (IPMSMs) at dynamic response. The structure of the controller consists of complex vector PI controllers that control the current of each frequency component connected in parallel. To ensure a stable dynamic response, controller is designed to achieve pole-zero cancellation between the plant and the resonant controller. In this process, the controller structure and gains are determined by considering the saliency and flux saturation of the plant. To consider saliency, the controller gains are applied before performing the rotational transformation into each harmonic reference frame. Additionally, considering flux saturation, the controller gains are designed with dynamic inductance and apparent inductance. The proposed controller can be applied with the same structure even to motors without saliency like SPMSMs. Experiments were conducted on a 17 kW IPMSM including 6th harmonic components, and the improvement in controller performance was verified through dynamic current response analysis. Mon, 01 Jun 2026 00:00:00 GMT https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/214014 2026-06-01T00:00:00Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/214444 Title: Development of a Centralized Vehicle Integration Control Unit for Enhanced Fail-Operational Authors: Song, Jaemin; Pyun, Beomjoon; Bae, Sangmin; Hwang, SoonMin; Choi, Hyungjeen Abstract: This study proposes and evaluates a vehicle integration control unit (VICU) that enables cooperative control among braking, steering, and propulsion systems to enhance fail-operational capability of the vehicle chassis domains. The VICU adopts a centralized architecture that reallocates control authority across functional domains in the event of a fault, thereby improving vehicle stability and safety under degraded conditions. Although various fault-tolerant control strategies have been introduced in prior research, real-vehicle implementation of cross-domain cooperative control remains limited. To address this, a VICU-based integrated control platform was developed and applied to a vehicle under test (VUT). After verification in SILS and HILS environments, the platform was subjected to eight distinct fault scenarios, including braking actuator faults, steering sensor failures, and propulsion imbalance cases, to quantitatively assess dynamic stability responses. The results demonstrate that the VICU effectively maintained key performance indicators-such as yaw rate, lateral acceleration, and steering sensitivity-through cooperative control across domains under fault conditions. These findings validate the practical applicability of the proposed architecture for realizing fail-operational functionality in VUT-based testing, highlighting its ability to perform real-time control handover and cross-domain compensation across braking, steering, and propulsion systems. Mon, 01 Jun 2026 00:00:00 GMT https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/214444 2026-06-01T00:00:00Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/217751 Title: Robust design optimization for a nonlinear system via Bayesian neural network enhanced polynomial dimensional decomposition Authors: Jang, Hyunho; Lee, Dongjin Abstract: Uncertainties such as manufacturing tolerances cause performance variations in complex engineering systems, making robust design optimization (RDO) essential. However, simulation-based RDO faces high computational cost for statistical moment estimation, and strong nonlinearity limits the accuracy of conventional surrogate models. This study proposes a novel RDO method that integrates Bayesian neural networks (BNN) with polynomial dimensional decomposition (PDD). The method employs uncertainty-based active learning to enhance BNN surrogate accuracy and a multi-point single-step strategy that partitions the design space into dynamically adjusted subregions, within which PDD analytically estimates statistical moments from BNN predictions. Validation through a mathematical benchmark and an electric motor shape optimization demonstrates that the method converges to robust optimal solutions with significantly fewer function evaluations. In the thirty-dimensional benchmark, the proposed method achieved a 60.39% mean reduction, while Gaussian process-based approaches failed to locate the global optimum. In the motor design problem, the method reduced cogging torque by 91.89% with only 6702 finite element evaluations, confirming its computational efficiency for high-dimensional, strongly nonlinear engineering problems. Mon, 01 Jun 2026 00:00:00 GMT https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/217751 2026-06-01T00:00:00Z