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Fuzzy parameter tuning sliding mode control for longitudinal motion of underground mining electric vehicles based on a single wheel model

机译:基于单轮模型的矿山电动汽车纵向运动的模糊参数整定滑模控制

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This paper first presents a simplified single wheel model for underground mining electric vehicles with bounds of system uncertainties. Then, a fuzzy parameter tuning (FPT) technique is used to adjust the parameters in the sliding mode control (SMC) to improve system stability and robustness at an unexpected external disturbances and unbound system uncertainties. The comparison of the simulation results shows that the proposed control strategy has better performance than the SMCs without applying fuzzy tuning technique.
机译:本文首先提出了带有系统不确定性界限的地下矿用电动汽车的简化单轮模型。然后,使用模糊参数调整(FPT)技术来调整滑模控制(SMC)中的参数,以在出现意外的外部干扰和系统不受约束的不确定性时提高系统的稳定性和鲁棒性。仿真结果的比较表明,所提出的控制策略在不应用模糊调整技术的情况下具有比SMC更好的控制性能。

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