Neuron PI control for semi-active suspension system of tracked vehicle |
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| Authors: | ZENG Yi-hui LIU Shao-jun E Jia-qiang |
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| Affiliation: | ZENG Yi-hui1,2,LIU Shao-jun1,E Jia-qiang3 1. College of Mechanical and Electrical Engineering,Central South University,Changsha 410083,China,2. Computer Numerical Control Tooling Center,Hunan International Economics University,Changsha 410205,3. College of Mechanical and Vehicle Engineering,Hunan University,Changsha 410082 |
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| Abstract: | A neuron proportion integration (PI) control strategy for semi-active suspension system of tracked vehicle was proposed based
on its unique structure and the multiple and complex environment of the driving traffic. An adaptive genetic algorithm is
used to optimize the parameters of the neuron PI controller. The simulation result of the neuron PI control for semi-active
suspension system of tracked vehicle indicates that the vertical amplitude, pitch angle and vertical acceleration of the vehicle
are well controlled. The root mean square (RMS) of the vertical amplitude decreases by 37.2%, and 45.2% for the pitch angle,
38.6% for the vertical acceleration. The research of neuron PI control experiment for the semi-active suspension system of
the tracked vehicle model mining in benthal indicates that the RMS of the weight acceleration vibrating along the vertical
direction decreases by 29.5%, the power spectral density resonance peak of the acceleration of the car body decreases by 23.8%. |
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| Keywords: | tracked vehicle magneto rheological damper semi-active suspension preview technology neuron PI control |
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