Compound control method for DC–DC converter

Tang, Yongwei; Li, Juan; Li, Shengquan; Lin, Zongli; Wang, Shuwang

doi:10.1049/joe.2019.1078

Cited by 1 publication

(1 citation statement)

References 15 publications

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“…19,20 Some active suspension control strategies have become research hotspots, such as PID control, 21 fuzzy control, 22,23 neural network control, 24 optimal control, 25 and composite control strategy. 26 However, these control strategies have their own deficiency. It is difficult to determine PID control parameters, and fuzzy control needs to do many experiments on the determination of membership degree and fuzzy rules, thus the cost is high.…”

Section: Introductionmentioning

confidence: 99%

Vibration control of improved LQG for wheel drive electric vehicle based on uncertain parameters

Liu

Wang

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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To improve the ride comfort of wheel drive electric vehicle, a quarter dynamic model is established for vehicle active and passive suspension. Based on the response root mean square (RMS), the evaluation index of vehicle ride comfort is derived. According to the influence of uncertain parameters on system minimum RMS, the optimal vehicle parameters are determined. To avoid experience value of uncertain weight coefficient affecting the LQG control, analytic hierarchy process (AHP) is adopted to determine the weighting coefficient of vehicle performance evaluation index. And the LQG controller of vehicle active suspension is designed based on optimal control theory. Compared with the analysis results of passive suspension, the effectiveness of active control scheme is verified.

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