Adaptive tracking control of a common rail system based on discrete-time integral minimal control synthesis algorithm
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.
common rail systemdiscrete-time integraltracking controlMCS algorithm
国家科技期刊平台
NSTL
万方数据
维普
