Hao Feng

Dr. Hao Feng


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
10 January 2022 in ISA Transactions
Verified
Journal Article
Closed access
HFHao Feng
Hao Feng
QSQianyu Song
Qianyu Song
SMShoulei Ma
Shoulei Ma
WMWei Ma
Wei Ma
CYChenbo Yin
Chenbo Yin
HYHongfu Yu
Hongfu Yu

1 May 2018 in Mechanical Systems and Signal Processing
Verified
Journal Article
Closed access
HFHao Feng
Hao Feng
CYChenbo Yin
Chenbo Yin
WWWen-Wen Weng
Wen-Wen Weng
WMWei Ma
Wei Ma
JZJun-Jing Zhou
Jun-Jing Zhou
ZZZi-Li Zhang
Zi-Li Zhang

1 November 2019 in Mechanism and Machine Theory
Verified
Journal Article
Closed access
HFHao Feng
Hao Feng
WQWenhua Qiao
Wenhua Qiao
CYChenbo Yin
Chenbo Yin
HYHongfu Yu
Hongfu Yu
DCDonghui Cao
Donghui Cao

2 September 2022 in IEEE/ASME Transactions on Mechatronics
Verified
Journal Article
Closed access
HFHao Feng
Hao Feng
CYChenbo Yin
Chenbo Yin
DCDonghui Cao
Donghui Cao
Nonlinear friction is the main factor affecting the dynamic and static performances of robotic excavator electrohydraulic servo systems. The traditional LuGre friction model is only related to the velocity. However, the friction characteristics of the electrohydraulic servo system are also related to the position and direction. An improved LuGre is proposed to describe the friction characteristics between position, velocity and direction, and the instability problem is also solved by stopping the observation of the internal state z . Then, inertia weight, asynchronous change method and elite mutation operation are added into the basic particle swarm optimization algorithm to identify the friction model parameters accurately. Moreover, a friction compensator (FC) based on the LuGre model is designed. Three controllers are implemented with different trajectory experiments on a 23 ton excavator. Experimental results demonstrated that the FC based on the improved LuGre can improve the comprehensive performance of the electrohydraulic servo system.

21 August 2023 in Engineering Applications of Artificial Intelligence
Verified
Journal Article
Closed access
HFHao Feng
Hao Feng
JJJinye Jiang
Jinye Jiang
XCXiaodan Chang
Xiaodan Chang
CYChenbo Yin
Chenbo Yin
DCDonghui Cao
Donghui Cao
JXJiaxue Xie
Jiaxue Xie

1 September 2019 in ISA Transactions
Verified
Journal Article
Closed access
HFHao Feng
Hao Feng
CYChenbo Yin
Chenbo Yin
WMWei Ma
Wei Ma
HYHongfu Yu
Hongfu Yu
DCDonghui Cao
Donghui Cao