Analytical design of PID controller for enhancing ride comfort of active vehicle suspension system

Author(s):  
Nguyen Luan Vu Truong ◽  
Van Dung Do ◽  
Van Trang Nguyen ◽  
Phan Tan Hai
2015 ◽  
Vol 4 (3) ◽  
Author(s):  
Mahdi Akraminia ◽  
Milad Tatari ◽  
Mohammad Fard ◽  
Reza N. Jazar

AbstractIn this paper, an adaptive critic-based neurofuzzy controller is presented for a 2 DOF active vehicle suspension system with a servo hydraulic actuator. Fuzzy critic-based learning is a reinforcement learning method based on dynamic programming. The only information available for the critic agent is the system feedback, which is interpreted as the last action performed by the controller in the previous state. The signal produced by the critic agent is used alongside the algorithm of error back propagation to tune online conclusion parts of the fuzzy inference rules of the adaptive controller. Simulation results demonstrate the superior performance of this control method in terms of well disturbance rejection, improved ride comfort, robustness to model uncertainty and lower controller cost.


Author(s):  
Maria Aline Gonçalves ◽  
Rodrigo Tumolin Rocha ◽  
Frederic Conrad Janzen ◽  
José Manoel Balthazar ◽  
Angelo Marcelo Tusset

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