A fuzzy controller-based multiple-model adaptive control system for blood pressure control

2005 ◽  
Author(s):  
H. Zheng ◽  
K.Y. Zhu
Keyword(s):  
Blood Pressure ◽  
Adaptive Control ◽  
Control System ◽  
Blood Pressure Control ◽  
Fuzzy Controller ◽  
Pressure Control ◽  
Multiple Model ◽  
Adaptive Control System ◽  
Multiple Model Adaptive Control

Fuzzy Control of Tracked Vehicle’s Semi-Active Suspension System Based on LMS

2014 ◽  
Vol 602-605 ◽  
pp. 1313-1316 ◽  
Author(s):  
Xiao Dong Gao ◽  
Liang Gu ◽  
Ji Fu Guan ◽  
Jun Feng Gao
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Ride Comfort ◽  
Fuzzy Controller ◽  
Active Suspension ◽  
Adaptive Control System ◽  
Vehicle Model ◽  
Tracked Vehicle ◽  
Change Rate ◽  
Set Up

A half tracked vehicle model was established based on LMS, a co-simulation interface between control algorithm of MATLAB and physical model of LMS was set up. Fuzzy controller with PID regulator was proposed to achieve controlling strategy based on half tracked vehicle model. With suspension stroke and its change rate as input parameters of fuzzy controller, the dynamic adjusting parameters of PID controller are acquired through fuzzy controller, then a semi-active suspension vehicle adaptive control system was formed. The simulation result shows that the adaptive control system can effectively coordinate the contradiction acceleration and dynamic travel in different bands, the ride comfort tracked vehicle is significantly improved.

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