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Free chattering hybrid sliding mode control for a class of non-linear systems: electric vehicles as a case study

机译:一类非线性系统的自由抖振混合滑模控制:以电动汽车为例

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摘要

In current study, in order to find the control of general uncertain nonlinear systems, a new optimal hybrid control approach called Optimal General Type II Fuzzy Sliding Mode (OGT2FSM) is presented. In order to estimate unknown nonlinear activities in monitoring dynamic uncertainties, the benefits of general type-2 fuzzy logic systems (GT2FLS) is utilized by the suggested controller. The suggested controller not only warranties the constancy and hardiness against uncertainties of the lumped resulted by external disturbances and un-modeled dynamics, but also considerably decreases the control chattering inherent in traditional sliding mode control. Moreover, the Modified Backtracking Search Algorithm (MBSA), which is a new heuristic algorithm, is used in the offered controller. A comparison is performed between the results of current study and the results of some of the most recent studies on the same topic, which are an Adaptive Interval Type-2 Fuzzy Logic Controller (AGT2FLC) and Conventional Sliding Mode Controller (CSMC), to assess the efficiency of the suggested controller. The suggested control scheme is finally used to the Electric Vehicles type as a case study. Results of simulation confirm the good performance the suggested controller.
机译:在当前的研究中,为了找到通用的不确定非线性系统的控制,提出了一种新的最优混合控制方法,称为最优通用II型模糊滑模(OGT2FSM)。为了估计监视动态不确定性的未知非线性活动,建议的控制器利用了通用2型模糊逻辑系统(GT2FLS)的优势。所建议的控制器不仅保证了恒定性和坚韧性,还可以防止由于外部干扰和未建模的动力学导致的集总的不确定性,而且还大大降低了传统滑模控制固有的控制抖动。此外,在提供的控制器中使用了改进的回溯搜索算法(MBSA),它是一种新的启发式算法。在当前研究结果与同一主题的一些最新研究结果之间进行了比较,它们是自适应区间2型模糊逻辑控制器(AGT2FLC)和常规滑模控制器(CSMC),以评估建议控制器的效率。最后,将建议的控制方案用于电动汽车类型作为案例研究。仿真结果证实了建议控制器的良好性能。

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