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Permanent magnet synchronous motor (PMSM) drives include several design and control variables that affect power losses. The improvement in system efficiency through control techniques will reduce the size of inverter and motor cooling system as well as the operating costs of the system. This paper proposes a comprehensive analysis of loss controllability using various control parameters to reduce...
The equivalent circuit parameters of an interior permanent magnet synchronous machine (PMSM) vary under different operating conditions due to magnetic saturation and temperature rise. Knowledge of accurate machine parameters is of paramount importance for high performance PMSM control and condition monitoring. Therefore, this paper presents a novel parameter estimation method, which employs both the...
Accurate information of permanent magnet (PM) flux linkage is of significance to high-performance control and condition monitoring of permanent magnet synchronous machines (PMSMs). During machine operation, the PM flux linkage can vary due to temperature rise and saturation. Thus, this paper investigates how temperature rise and saturation influence the PM flux linkage under different operation conditions...
This paper presents an improved electric vehicle (EV) dynamic model by considering the actual environmental conditions for EV powertrain components testing. The environmental conditions considered include the road gradient, road surface roughness, weather conditions, and wind speed. In comparison to the simplified vehicle dynamics model, the proposed enhanced model aims to simulate the vehicle dynamics...
A novel torque ripple minimization approach for interior permanent magnet synchronous machine (IPMSM) considering magnetic saturation is proposed in this digest. The inductance variations due to magnetic saturation have a great influence on the torque ripple minimization for IPMSMs. Thus, a voltage injection based on-line parameter identification scheme is proposed to estimate the dq-axis inductances,...
This paper investigates the torque ripple modeling and minimization for interior permanent magnet synchronous machine (PMSM). At first, a novel torque ripple model is proposed. In this model, both spatial harmonics of magnet flux linkage and current time harmonics induced by machine drive are considered, which includes the torque ripples resulted from magnet torque, reluctance torque and cogging torque...
The spatial harmonic of magnet flux is a major cause of torque ripple in permanent magnet synchronous machines (PMSMs), and it is temperature-dependent. Thus, this paper investigates torque ripple modeling and minimization for PMSMs considering magnet temperature variations. Firstly, experimental studies are conducted to demonstrate that the torque ripple is magnet temperature dependent. Then, based...
An induction machine with skewed rotor bars has enhanced starting performance and reduced current harmonic distortion. In a conventional skewed induction machine (IM) modeling, the axial magnetic flux variation is usually ignored in machine performance analysis in spite of significant parameter variation in the axial direction. Furthermore, the selection of optimal skew angle is vital to keep the...
This paper develops a compressed infrared motion sensing system for mobile robots to detect and localize a moving human target in the vicinity. The proposed sensing system consists of three compressed infrared bearing sensor arrays for generating the bearing measurements of a human target from three perspectives. Then, human location is inferred by fusing these bearing measurements with least square...
This paper studies the optimal design of an infrared motion sensing system for human motion localization in the context of human-following robots. Specifically, we aim to find the optimal number and placement of bearing-sensitive pyroelectric infrared (PIR) sensor arrays for improving localization performance. This optimal design leads to a multiobjective, mixed-integer-discrete-continuous and variable-dimensional...
This paper concerns the lightweight and robust infrared motion localization for human-following robots. We use bearing-sensitive pyroelectric infrared (PIR) sensor arrays in motion localization with two steps. The first step aims at generating bearing measurements of a human target from multiple perspectives with the PIR sensor arrays. The second step aims at locating the target through a least squares...
Labeling schemes lie at the core of query processing for many tree-structured data such as XML data that is flooding the web. A labeling scheme that can simultaneously and efficiently support various relationship queries on trees (such as parent/children, descendant/ancestor, etc.), computation of lowest common ancestors (LCA) and update of trees, is desired for effective and efficient management...
The optimal pyroelectric infrared (PIR) sensor arrays placement similar to optimal multi-camera placement in computer vision (CV), aims to maximize the coverage and spatial resolution and minimize the cost. In this paper, we propose an implementation of a genetic algorithm (GA) based optimization approach for the design of PIR sensing model which is designed empirically in the literature. The optimization...
Otologic drill is an important ear surgical instrument and used to mill temporal bone. The cotton which is used to stop bleeding may be entangled with the drill and whirl. The rotary cotton can damage the tissues, such as nerves and cochlea. An intelligent control device has been designed to help doctors to operate the drill and prevent the cotton from causing damage to human. The intelligent control...
Rapid advances in wireless communication devices and systems had and continue to have a significant impact on the healthcare industry. One important application is to monitor patient's health status anytime and anywhere without restricting the patient's movement as a result of being tied down through cables to monitoring equipment. Through the miniaturizations of sensors and the use of wireless interface...
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