scholarly journals CURRENT STATUS OF CONTROL STRATEGIES IN ENERGY RECOVERY SYSTEMS IN ELECTRIC VEHICLES

10.6036/10134 ◽  
2022 ◽  
Vol 97 (1) ◽  
pp. 58-63
Author(s):  
Juan Carlos Nuñez Dorantes ◽  
ALBINO MARTINEZ SIBAJA ◽  
JOSE PASTOR RODRIGUEZ JARQUIN ◽  
OSCAR OSVALDO SANDOVAL GONZALEZ ◽  
RUBEN POSADA GOMEZ ◽  
...  
Keyword(s):  
Control Systems ◽  
Electric Vehicles ◽  
Energy Recovery ◽  
Active Fault ◽  
Fault Tolerant ◽  
Control Strategies ◽  
Fault Tolerant Control ◽  
Current Status ◽  
Increasing Demand ◽  
Safety And Stability

There is currently an increasing demand for electric vehicles that require greater autonomy and energy efficiency when driving them. Control strategies in energy recovery systems are crucial to optimize the amount of energy returned to the battery and to ensure safety and stability for the user. In this paper, active fault tolerant control systems (AFTC) and passive fault tolerant control systems (PFTC) with other specialized control strategies (Fuzzy Logic, Neural Networks and Perturbation Rejection Controllers) are compared with classical PID controllers.The results of the simulations show that, keeping the battery voltage constant, returns of about 12% of the battery charge capacity are achieved while the braking time of the vehicles is reduced.

H ∞ Fuzzy Tracking Control Design for Nonlinear Active Fault Tolerant Control Systems

2008 ◽  
Vol 130 (4) ◽  
Author(s):  
Huai-Ning Wu ◽  
Ming-Zhen Bai
Keyword(s):  
Control Systems ◽  
Fuzzy System ◽  
Tracking Control ◽  
Closed Loop ◽  
Active Fault ◽  
Fault Tolerant ◽  
Control Design ◽  
Fault Tolerant Control ◽  
System Component ◽  
Active Fault Tolerant Control

This paper studies the problem of H∞ fuzzy tracking control design for nonlinear active fault tolerant control systems based on the Takagi and Sugeno fuzzy model. Two random processes with Markovian transition characteristics are introduced to model the system component fault process and the fault detection and isolation decision process used to reconfigure the control law, respectively. The random behavior of the FDI process is conditioned on the fault process state. The parallel distributed compensation scheme is employed for the control design. As a result, a closed-loop fuzzy system with two Markovian jump parameters is obtained. Based on a stochastic Lyapunov function, a sufficient condition for stochastic stability of the closed-loop fuzzy system with a guaranteed H∞ model reference tracking performance is first derived. A linear matrix inequality approach to the control design is then developed to reduce the effect of the external disturbance and reference input on tracking error as small as possible. Finally, a simulation example is presented to illustrate the effectiveness of the proposed design method.

Stabilization of active fault-tolerant control systems by uncertain nonhomogeneous markovian jump models

Complexity ◽  
2016 ◽  
Vol 21 (S1) ◽  
pp. 318-329 ◽  
Author(s):  
Mona Faraji-Niri ◽  
Mohammad Reza Jahed-Motlagh ◽  
Mojtaba Barkhordari-Yazdi
Keyword(s):  
Control Systems ◽  
Active Fault ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Markovian Jump ◽  
Active Fault Tolerant Control
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