主动悬架的参数估计自校正控制

Parameter Estimation and Self-correcting Control of Active Suspensions

本文采用二自由度的单轮模型,运用衰减记忆递推最小二乘参数估计算法和广义加权最小方差自校正控制算法,通过控制律隐式结构直接估计控制器参数,再综合得到控制律,从而实现了主动悬架的参数估计自校正控制。经实例计算和数值仿真,证明了该控制方法的有效性和可行性。

A single wheel model of two freedoms is adopted in this paper to realize the self-correcting control of active suspensions, based on the control regular that was derived from parameters of controller. And algorithms of parameter estimation of memory attenuation, recursion and least two multiply and self-correcting control of generalized proportion and least root mean square are applied in this model. Results of example computing and digital simulation show the effectiveness and feasibility of this method.