scholarly journals Sliding mode control based on Kalman filter dynamic estimation of battery SOC

2018 ◽  
Author(s):  
Dongmeia He ◽  
Enguang Hou ◽  
Xin Qiao ◽  
Guangmin Liu
Keyword(s):  
Kalman Filter ◽  
Sliding Mode Control ◽  
Sliding Mode ◽  
Mode Control ◽  
Dynamic Estimation

Adaptive sliding mode control for AC servo system based on Kalman filter

2014 ◽  
Vol 22 (8) ◽  
pp. 2088-2095 ◽  
Author(s):  
邓永停 DENG Yong-ting ◽  
李洪文 LI Hong-wen ◽  
王建立 WANG Jian-li ◽  
贾建禄 JIA Jian-lu
Keyword(s):  
Kalman Filter ◽  
Sliding Mode Control ◽  
Sliding Mode ◽  
Servo System ◽  
Adaptive Sliding Mode Control ◽  
Ac Servo System ◽  
Adaptive Sliding Mode ◽  
Mode Control ◽  
Ac Servo

Dynamic Sliding Mode Control of Air-to-Fuel Ratio in Internal Combustion Engines Using the Hybrid Extended Kalman Filter

2012 ◽  
Vol 433-440 ◽  
pp. 2092-2098 ◽  
Author(s):  
Majid Zohari ◽  
Mohamadreza Ahmadi ◽  
Hamed Mojallali
Keyword(s):  
Kalman Filter ◽  
Sliding Mode Control ◽  
Extended Kalman Filter ◽  
Sliding Mode ◽  
Nonlinear Observer ◽  
Superior Performance ◽  
Fuel Ratio ◽  
Mode Control ◽  
Dynamic Sliding Mode Control ◽  
Dynamic Sliding Mode

The large modeling uncertainties and the nonlinearities associated with air manifold and fuel injection in spark ignition (SI) engines has given rise to difficulties in the task of designing an adequate controller for air-to-fuel ratio (AFR) control. Although sliding mode control approaches has been suggested, the inescapable time-delay between control action and measurement update results in chattering. This paper proposes the implementation of a nonlinear observer based control scheme incorporating the hybrid extended Kalman filter (HEKF) and the dynamic sliding mode control (DSMC). The results established upon the proposed methodology are given which demonstrate superior performance in terms of reducing the chattering magnitude.

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