In order to acquire the dynamic parameter of fuel oil common rail(CR)pressure,a novel model was designed with the discrete-time minimal control synthesis adaptive algorithm. The experimental results indicate the discrete-time integral adaptive effect can improve closed-loop performance of CR,and confirm the effectiveness of the novel algorithm,which can solve both the monitoring and regulation of CR pressure effectively. It has a referential significance for CR closed-loop control.%为了获取燃油共轨压力动态参数,采用离散时间积分MCS自适应算法设计了一个全新的模型.通过实验,证明了离散时间积分自适应作用可以提高CR闭环回路的性能,并确定了新算法的有效性.该算法可以有效解决CR压力监控和调节的问题,对于CR闭环控制具有借鉴意义.
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