Abstract
This paper presents a pneumatic muscle (PM) based active suspension control system which aims to effectively reduce vehicle vibration and acceleration so that the ride quality can be enhanced. Although the PM-based actuator inherits several advantages including power-weight ratio and convenient usage, the nonlinear and time-varying behaviors of PM cause lots of obstacles applied in the controller design. To control the PM-based actuator, this study adopts the robust control approach, with the adaptive scheme by combining the Haar wavelet series-based algorithm, to the design of the PM-based active vehicle suspension control system. The objective of using Haar wavelet series (HWS) function is to approximate an unknown function exists in the vehicle suspension system, the difficulty of model-based prerequisite can be bypassed to reduce the control design complexity. In addition, the embedded adaptive scheme is derived based on the Lyapunov approach and the overall system stability can be guaranteed. The validness of the proposed control system is demonstrated on the quarter-car suspension platform and the experimental results are presented.
| Original language | English |
|---|---|
| Title of host publication | 2017 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 617-622 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538620342 |
| DOIs | |
| State | Published - 2 Jul 2017 |
| Event | 2017 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2017 - Okinawa, Japan Duration: 14 Jul 2017 → 18 Jul 2017 |
Publication series
| Name | 2017 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2017 |
|---|---|
| Volume | 2017-July |
Conference
| Conference | 2017 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2017 |
|---|---|
| Country/Territory | Japan |
| City | Okinawa |
| Period | 14/07/17 → 18/07/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
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