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Fuzzy Control Based on Neural Networks for Armored Vehicle Electric Drive System |
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| Authors: | MA Xiao-jun LI Hua ZHANG Jian ZHANG Yu-nan |
| Affiliation: | Department of Control Engineering, Academy of Armored Force Engineering, Beijing 100072, China |
| Abstract: | In order to meet rigorous demands of control of electric motors in armored vehicle electric drive system and make the system of strong robustness and antijamming capability, a fuzzy control method based on neural networks is put forward. The simulation model of the armored vehicle electric drive system is built up to test the validity of the control. Simulation experiments show that when load is increased or decreased suddenly, the system adopting fuzzy control based on neural networks is insensitive to parameter change and has little overshooting and oscillation compared with PID control. |
| Keywords: | neural network fuzzy control electric drive robustness Drive System Electric Vehicle Neural Networks Based Control parameter little overshooting oscillation PID control Simulation experiments show load increased simulation model test validity fuzzy control |
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