The invention discloses an aperiodic sampling data H-infinity control method of an automobile active suspension system based on an uncertain discrete time model, and relates to the problem of aperiodic sampling data H-infinity control of the automobile active suspension system with the uncertain discrete time model and time-varying and time-lag. The method comprises the following steps of: 1, discretizing a system by a lifting technology, and quantifying uncertainty caused by sampling data and delay by a method of searching an integral quadratic constraint multiplier; 2, through model transformation, giving a stable condition of a closed-loop system index, and converting the stable condition into an LMI condition by using a KYP lemma; step 3, optimizing H-infinity performance measurement smoothness by using an energy function and integral quadratic constraint characteristics of an uncertainty operator; 4, designing an acquisition algorithm of controller gain; and 5, by taking a four-section car model as an example, verifying the effectiveness and optimization effect of the method. The method is applied to the field of automobile active suspension control.
本发明公开了一种基于不确定离散时间模型的汽车主动悬架系统的非周期采样数据H‑无穷控制方法,本发明涉及不确定离散时间模型及具有时变时滞的汽车主动悬架系统的非周期采样数据H‑无穷控制问题。本发明步骤为:步骤一:提升技术对系统进行离散化,通过寻找积分二次约束乘子的方法对采样数据和延迟引起的不确定性进行量化;步骤二:通过模型变换,给出闭环系统指数稳定的条件,并利用KYP引理将其转化为LMI条件;步骤三:利用不确定性算子的能量函数和积分二次约束特性,对H‑无穷性能测量平顺性进行优化;步骤四:设计控制器增益的获取算法;步骤五:以四节车模型为例,验证该方法的有效性和优化效果。本发明用于汽车主动悬架控制领域。
Design method of automotive suspension sampling controller based on discrete system
一种基于离散系统的汽车悬架采样控制器设计方法
2023-12-12
Patent
Electronic Resource
Chinese
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