Modeling and Simulation of Energy-Regenerative Active Suspension Based on BP Neural Network PID Control
Joint Authors
Liu, Jiang
Zhang, Xilong
Li, Xinjun
Chen, Xiufeng
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-06-18
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
In this paper, an electromagnetic energy-regenerative suspension system is proposed to achieve active control and vibration energy harvesting.
For this system, a PID controller based on BP neural network algorithm is designed and vehicle dynamic performances are studied.
Based on the traditional energy-regenerative efficiency calculation, a novel self-supply energy efficiency concept is proposed to evaluate the utilization effect of the recycled energy for this dual-functional suspension.
Simulations are carried out, and the results show that the vehicle dynamic performances are effectively improved under different input conditions, including road surfaces and vehicle speeds.
Furthermore, the energy-regenerative suspension can recover part of vibration energy, where the self-supply energy efficiency is about 55% and the energy-regenerative efficiency is about 16%.
Meanwhile, the BP-PID algorithm also enables the suspension system’s self-adaptability and stability characteristics on its energy recovery capability.
American Psychological Association (APA)
Liu, Jiang& Li, Xinjun& Zhang, Xilong& Chen, Xiufeng. 2019. Modeling and Simulation of Energy-Regenerative Active Suspension Based on BP Neural Network PID Control. Shock and Vibration،Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1211250
Modern Language Association (MLA)
Liu, Jiang…[et al.]. Modeling and Simulation of Energy-Regenerative Active Suspension Based on BP Neural Network PID Control. Shock and Vibration No. 2019 (2019), pp.1-8.
https://search.emarefa.net/detail/BIM-1211250
American Medical Association (AMA)
Liu, Jiang& Li, Xinjun& Zhang, Xilong& Chen, Xiufeng. Modeling and Simulation of Energy-Regenerative Active Suspension Based on BP Neural Network PID Control. Shock and Vibration. 2019. Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1211250
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1211250