4 Papers
9 Citations
He Ping is an academic researcher from Hefei University of Technology. The author has contributed to research in topics: Sliding mode control & Electronic control unit. The author has an hindex of 3, co-authored 4 publications.
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Papers
Adaptive neural network sliding mode control for steer-by-wire-based vehicle stability control
TL;DR: The robust stability control performance against parameter variations and road disturbances is obtained by means of ensuring the good tracking performance of yaw rate and steering angle and the strong robustness with respect to large and nonlinear system uncertainties.
13
Robust terminal sliding mode control for automotive electronic throttle with lumped uncertainty estimation
TL;DR: In this article, a robust terminal sliding mode (TSM) control scheme for automotive electronic throttle valve is proposed, where the lumped uncertainty is estimated by using a finite-time exact observer (FEO), such that the effects of the parameter uncertainties and nonlinearities including friction, return spring limp-home and gear backlash can be eliminated.
5
Patent
Electronic throttle valve control method based on self-adaption sliding mode technology
Wang Hai,Liu Linfeng,He Ping,Yu Ming,Canghua Jiang +4 more
- 28 Jul 2017
TL;DR: In this paper, an electronic throttle valve control method based on a self-adaption sliding mode technology is presented, which comprises the steps that the pedal angle theta and the current throttle valve output angle tta are collected in real-time, and the system error e is worked out; the optimal control voltage u of a throttle valve is working out through a selfadaption robust sliding mode control algorithm, the duty ratio T set by a motor driver is obtained by conversion according to the formula T=u/12; and the driver drives the throttle valve according to a duty
4
Patent
Electronic throttle control method based on self-adaptive sliding mode technology
Wang Hai,Liu Linfeng,He Ping,Yu Ming,Canghua Jiang +4 more
- 16 Feb 2018
TL;DR: In this article, an electronic throttle control method based on a self-adaptive sliding mode technology is presented, which comprises the steps that a foot pedal angle d and a current throttle output angle theta t are collected in real time, and a system error e is calculated; the optimal control voltage u of the throttle is calculated through a selfadaptive robust sliding mode control algorithm, and the duty ratio T set by a motor driver is calculated according to the formula that T is equal to a value of dividing u by twelve.