Robotics & Machine Learning Daily News2024,Issue(Jul.10) :10-11.

Findings on Intelligent Vehicles Detailed by Investigators at Zhejiang Science T echnical University (Newly Developed Current Source Based Shortening and Modelin g Methods for Magnetorheological Damper Response Time)

Robotics & Machine Learning Daily News2024,Issue(Jul.10) :10-11.

Findings on Intelligent Vehicles Detailed by Investigators at Zhejiang Science T echnical University (Newly Developed Current Source Based Shortening and Modelin g Methods for Magnetorheological Damper Response Time)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on Transportation - Intelligent Vehicl es are presented in a new report. According tonews reporting out of Hangzhou, P eople’s Republic of China, by NewsRx editors, research stated, “Todesign an eff ective intelligent control algorithm for performance improvement of the MR semi- activesuspension for intelligent vehicles, there is a demand to considerably sh orten and precisely model the MRdamper response time. A rapid response current source is developed to shorten the output current responsetime, and the corresp onding experimental method is proposed to provide measurement data to accuratelymodel both the MR damper’s rising and descending response times.”

Key words

Hangzhou/People’s Republic of China/As ia/Intelligent Vehicles/Transportation/Zhejiang Science Technical University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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