IEEE/ASME Transactions on Mechatronics

Issue 1 • Feb. 2018

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Displaying Results 1 - 25 of 52

Publication Year: 2018, Page(s):C1 - C4
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• IEEE/ASME Transactions on Mechatronics publication information

Publication Year: 2018, Page(s): C2
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• Guest Editorial Focused Section on Health Monitoring, Management, and Control of Complex Mechatronic Systems

Publication Year: 2018, Page(s):1 - 4
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• Sensor Reduction for Driver-Automation Shared Steering Control via an Adaptive Authority Allocation Strategy

Publication Year: 2018, Page(s):5 - 16
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This paper presents a new shared control method for lane keeping assist (LKA) systems of intelligent vehicles. The proposed method allows the LKA system to effectively share the control authority with a human driver by avoiding or minimizing the conflict situations between these two driving actors. To realize the shared control scheme, the unpredictable driver-automation interaction is explicitly ... View full abstract»

• Robust Sensors-Fault-Tolerance With Sliding Mode Estimation and Control for PMSM Drives

Publication Year: 2018, Page(s):17 - 28
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In general, permanent magnet synchronous motor (PMSM) drives require four sensors (one position, one dc-link voltage, and at least two current sensors) to obtain good dynamic control performance. If an unpredictable fault occurs in any of these sensors, the performance of the drive deteriorates or even becomes unstable. Most of the existing works are limited to fault diagnosis of one or two sensor... View full abstract»

• Active Control of Magnetic Field Using eDMP Model for Biomedical Applications

Publication Year: 2018, Page(s):29 - 37
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This paper presents a novel method to actively control magnetic field in a region-of-interest using multiple electromagnets (EMs), referred to here as extended distributed multipole (eDMP). Numerous sensor and actuator applications require controlling magnetic fields such as medical device and automation. However, it is difficult to achieve owing to the nonlinearity of the field and its interactio... View full abstract»

• Fault-Tolerant Control of Multiarea Power Systems via a Sliding-Mode Observer Technique

Publication Year: 2018, Page(s):38 - 47
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This paper is focused on solving the problems of fault estimation and fault-tolerant control for multiarea power systems with sensor failures. First, the estimations of the system states and fault vectors are determined using an improved sliding-mode observer technique. Moreover, a derivative gain and a proportional gain are introduced to design the resultant sliding-mode observer more freely, and... View full abstract»

• Hierarchical Coordinated Control of Flywheel Energy Storage Matrix Systems for Wind Farms

Publication Year: 2018, Page(s):48 - 56
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Flywheel energy storage technology plays an important role in enhancing the operation reliability and efficiency of wind power generation farms. This work investigates an aggregated connection topology of flywheel energy storage matrix system, which is composed of multiple flywheel energy storage system (FESS) units within a wind farm. Based on this architecture, an effective charge/discharge stra... View full abstract»

• Continuous Fixed-Time Controller Design for Mechatronic Systems With Incomplete Measurements

Publication Year: 2018, Page(s):57 - 67
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This paper presents a continuous fixed-time observer-based controller driving all states of an $n$-dimensional chain of integrators to the origin for a finite pre-established (fixed) time using a scalar input when only the highest relative degree state can be measured. The uniform upper bound for the controller convergence tim... View full abstract»

• Novel Particle Swarm Optimization-Based Variational Mode Decomposition Method for the Fault Diagnosis of Complex Rotating Machinery

Publication Year: 2018, Page(s):68 - 79
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The vibration signals of faulty rotating machinery are typically nonstationary, nonlinear, and mixed with abundant compounded background noise. To extract the potential excitations from the observed rotating machinery, signal demodulation and time–frequency analysis are indispensable. This work proposes a novel particle swarm optimization-based variational mode decomposition method, which a... View full abstract»

• Integrated Design of Event-Triggered Closed-Loop Subspace Predictive Control Scheme

Publication Year: 2018, Page(s):80 - 88
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This paper proposes a novel event-triggered closed-loop subspace predictive control algorithm for linear discrete-time systems with an unknown plant model. The integrated observer-based event-triggered system is designed only with the system input and output data. The designed event-triggered law is dependent on the defined input error based on the input-to-state stable Lyapunov (ISS-Lyapunov) fun... View full abstract»

• Wind Turbine Fault Detection Using a Denoising Autoencoder With Temporal Information

Publication Year: 2018, Page(s):89 - 100
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Data-driven approaches have gained increasing interests in the fault detection of wind turbines (WTs) due to the difficulty in system modeling and the availability of sensor data. However, the nonlinearity of WTs, uncertainty of disturbances and measurement noise, and temporal dependence in time-series data still pose grand challenges to effective fault detection. To this end, this paper proposes ... View full abstract»

• Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks

Publication Year: 2018, Page(s):101 - 110
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This paper presents a convolutional neural network (CNN) based approach for fault diagnosis of rotating machinery. The proposed approach incorporates sensor fusion by taking advantage of the CNN structure to achieve higher and more robust diagnosis accuracy. Both temporal and spatial information of the raw data from multiple sensors is considered during the training process of the CNN. Representat... View full abstract»

• A General Tracking Control Framework for Uncertain Systems With Exponential Convergence Performance

Publication Year: 2018, Page(s):111 - 120
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A difficult problem of exponential tracking control for uncertain systems even with external disturbance is investigated. The systems studied have a general/representative form with the lossless second-order differential systems and Euler–Lagrange systems included. A general control design framework is presented using observer technique. An observer-based estimator is first developed... View full abstract»

• Reinforcement Learning of Manipulation and Grasping Using Dynamical Movement Primitives for a Humanoidlike Mobile Manipulator

Publication Year: 2018, Page(s):121 - 131
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It is important for humanoid-like mobile robots to learn the complex motion sequences in human–robot environment such that the robots can adapt such motions. This paper describes a reinforcement learning (RL) strategy for manipulation and grasping of a mobile manipulator, which reduces the complexity of the visual feedback and handle varying manipulation dynamics and uncertain external pert... View full abstract»

• Position Tracking Control Law for an Electro-Hydraulic Servo System Based on Backstepping and Extended Differentiator

Publication Year: 2018, Page(s):132 - 140
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This paper investigates the problem of position tracking control for an electro-hydraulic servo system with parameter uncertainty. Superior to some existing results based on parameter estimation or fuzzy modeling, our proposed control scheme can guarantee the bounded tracking performance without parameter identification and model approximation. This is accomplished by using a novel differentiator-... View full abstract»

• Remaining Useful Life Prediction for Multiple-Component Systems Based on a System-Level Performance Indicator

Publication Year: 2018, Page(s):141 - 150
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Most prognostics and health management publications focus on the development of algorithms to monitor and estimate the health condition of individual components. However, estimating the remaining useful life (RUL) of complex systems comprising multiple components is a more relevant topic for the industry. An accurate system-level RUL prediction can be used as a powerful decision support tool to he... View full abstract»

• Deep Learning for Infrared Thermal Image Based Machine Health Monitoring

Publication Year: 2018, Page(s):151 - 159
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The condition of a machine can automatically be identified by creating and classifying features that summarize characteristics of measured signals. Currently, experts, in their respective fields, devise these features based on their knowledge. Hence, the performance and usefulness depends on the expert's knowledge of the underlying physics or statistics. Furthermore, if new and additional c... View full abstract»

• Real-Time Triple Field of View Interferometry for Scan-Free Monitoring of Multiple Objects

Publication Year: 2018, Page(s):160 - 166
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Synchronous scanning of multiple objects is essential to health monitoring of cells with high reliability. In general, monitoring multiple objects with fixed optical resolution in a total area larger than the sensor size of the camera requires asynchronous scanning; therefore, the recorded images of different scanned areas are asynchronous. We have developed a novel single-shot triple field of vie... View full abstract»

• Condition Monitoring in Advanced Battery Management Systems: Moving Horizon Estimation Using a Reduced Electrochemical Model

Publication Year: 2018, Page(s):167 - 178
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Efficient battery condition monitoring is of particular importance in large-scale, high-performance, and safety-critical mechatronic systems, e.g., electrified vehicles and smart grid. This paper pursues a detailed assessment of optimization-driven moving horizon estimation (MHE) framework by means of a reduced electrochemical model. For state-of-charge estimation, the standard MHE and two variant... View full abstract»

• Vibration Sensing of a Bridge Model Using a Multithread Active Vision System

Publication Year: 2018, Page(s):179 - 189
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This study proposes a concept for multithread active vision sensing that can measure dynamically changing displacement and vibration at multiple points on civil engineering structures. In multithread active vision sensing, a high-speed camera can function virtually as multiple tracking cameras by accelerating its measurement, computation, and actuation with ultrafast viewpoint switching at millise... View full abstract»

• Improved NO and NO2 Concentration Estimation for a Diesel-Engine-Aftertreatment System

Publication Year: 2018, Page(s):190 - 199
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The high nitrogen oxide (${text{NO}}_x$) emission is one of the main issues for diesel engines. To reduce the $text {NO}_x$ emissions with an after-treatment system, the information of NO and NO2 concentrations plays an important role. In this pap... View full abstract»

• A Plug-and-Play Monitoring and Control Architecture for Disturbance Compensation in Rolling Mills

Publication Year: 2018, Page(s):200 - 210
Cited by:  Papers (1)
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In modern industrial processes, production quality, system performance, process reliability, and safety issues have received considerable attention. This paper proposes a plug-and-play (PnP) monitoring and control architecture that results in a simple reliable design procedure. The proposed PnP architecture is integrated with process monitoring and control systems, by which system performance can ... View full abstract»

• Real-Time Remaining Useful Life Prediction for a Nonlinear Degrading System in Service: Application to Bearing Data

Publication Year: 2018, Page(s):211 - 222
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Remaining useful life prediction for degrading systems plays a key role in prevalent prognostics and health management discipline. Compared with the offline remaining useful life prediction methods, online methods are usually more attractive in practice since they can be implemented dynamically adaptive to the real-time health conditions of the interested system in service. However, most of the ex... View full abstract»

• Geometric Estimation of the Deformation and the Design Method for Developing Helical Bundled-Tube Locomotive Devices

Publication Year: 2018, Page(s):223 - 232
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This paper presents a novel design method for an in-pipe locomotive device named “helical bundled-tube locomotive device.” Helical bundled-tube locomotive devices are soft robots that travel in pipes. The device only comprises inflatable tubes; it deforms into a helical shape and travels in a pipe with pneumatic power. The deformation pushes the device toward the inner wall of the pi... View full abstract»

Aims & Scope

IEEE/ASME Transactions on Mechatronics encompasses all practical aspects of the theory and methods of mechatronics, the synergetic integration of mechanical engineering with electronic and intelligent computer control in the design and manufacture of industrial products and processes.

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Meet Our Editors

Editor-in-Chief
George Chiu
Purdue University
West Lafayette, IN USA
gchiu@purdue.edu