This paper presents a method to provide continuous real-time condition monitoring of track health on an autonomous rail system. We use stretchable capacitive sensors installed on rolling stock (train carriages). The capacitive sensor was stretched between two points of the train with relative motion during operation, for instance, the current collector device (or shoe). Any change in relative motion signals, picked up by the capacitance change of the sensor, would indicate operational anomaly. We use our sensor to detect and differentiate between localized track wear, track misalignment and abnormal impact force. For train systems with a rigid legacy of train location detection systems, we propose a system of RFID transmitters and receivers to be lined at regular intervals along the train track and to be mounted on the train carriage, respectively. We propose a strategy to enhance the sensitivity of the capacitive sensor, and adopt Butterworth or wavelet for signal processing.
We present a stackable configuration of loudspeaker-type artificial muscle module. These modules are antagonisticallycoupled to enhance the delivery of blocking force and speed of deformation. We analyze a cycle of antagonisticallycouple configuration by theory, and maximize the cycle of the antagonistically-coupled loudspeaker configuration using a semi-empirical method. We realize an output force of about 4N for a single layer, and up to 15N for three stacked layers. The corresponding displacement at maximum actuation is about 10mm. We further introduce a control circuit to enhance output mechanical power of the cycle. This work serves to rationalize the analysis, design and construction of soft actuator systems capable of delivering high mechanical power output within a small space.
Conference Committee Involvement (2)
Nano-, Bio-, Info-Tech Sensors and 3D Systems
26 April 2020 | Anaheim, California, United States