TY - GEN
T1 - Sliding mode control for heart rate regulation of electric bicycle riders
AU - Meyer, Daniel
AU - Zhang, Wenlong
AU - Tomizuka, Masayoshi
N1 - Publisher Copyright:
© Copyright 2015 by ASME.
PY - 2015
Y1 - 2015
N2 - In this paper a new controller for electric bicycles is proposed to maintain a desired heart rate level and improve the riding experience of cyclists. The controller achieves this by adequately adjusting the motor assistance without affecting the cycling velocity. First, a human heart rate model is fitted to experimental data to model the heart rate response of cyclists during different exercises. Then, a sliding mode controller is designed to keep the human heart rate at a predefined level. Furthermore, a feedforward controller is introduced into the system to improve both the tracking performance and riding experience. The feedforward controller consists of an inverse human heart rate response model, which estimates the necessary rider torque for a desired heart rate level. The controller is implemented with a commercial electric bicycle. Simulation and experimental results are presented to assess the validity of the controller. Whereas the sliding mode controller itself achieves good tracking performance, the sliding mode control combined with the feedforward control additionally reduces the maximal exerted rider torque and improves the riding experience.
AB - In this paper a new controller for electric bicycles is proposed to maintain a desired heart rate level and improve the riding experience of cyclists. The controller achieves this by adequately adjusting the motor assistance without affecting the cycling velocity. First, a human heart rate model is fitted to experimental data to model the heart rate response of cyclists during different exercises. Then, a sliding mode controller is designed to keep the human heart rate at a predefined level. Furthermore, a feedforward controller is introduced into the system to improve both the tracking performance and riding experience. The feedforward controller consists of an inverse human heart rate response model, which estimates the necessary rider torque for a desired heart rate level. The controller is implemented with a commercial electric bicycle. Simulation and experimental results are presented to assess the validity of the controller. Whereas the sliding mode controller itself achieves good tracking performance, the sliding mode control combined with the feedforward control additionally reduces the maximal exerted rider torque and improves the riding experience.
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U2 - 10.1115/DSCC2015-9712
DO - 10.1115/DSCC2015-9712
M3 - Conference contribution
AN - SCOPUS:84973345859
T3 - ASME 2015 Dynamic Systems and Control Conference, DSCC 2015
BT - Diagnostics and Detection; Drilling; Dynamics and Control of Wind Energy Systems; Energy Harvesting; Estimation and Identification; Flexible and Smart Structure Control; Fuels Cells/Energy Storage; Human Robot Interaction; HVAC Building Energy Management; Industrial Applications; Intelligent Transportation Systems; Manufacturing; Mechatronics; Modelling and Validation; Motion and Vibration Control Applications
PB - American Society of Mechanical Engineers
T2 - ASME 2015 Dynamic Systems and Control Conference, DSCC 2015
Y2 - 28 October 2015 through 30 October 2015
ER -