【摘要】 针对具有两种时变扰动动态——突变扰动和线性时变扰动的多变量控制系统性能评价方法进行研究。两种扰动的不同动态特性决定了要采取不同的评价方法。突变扰动的情况,利用Olaleye和Xu整体优化SISO过程的思想建立MIMO的实用MV基准;线性时变扰动的情况,将关联矩阵引入视系统为LTV过程,提出一套针对LTV扰动建立时变MIMO MV基准的系统化算法和过程。理论和仿真研究表明所提出的方法能正确和有效的评价具有时变扰动的多变量系统。更多还原

【Abstract】 This paper was concerned with performance assessment methods of multivariable control system going with two types of time-variant disturbance dynamics,abrupt and linear time-varying(LTV) disturbance.It adopted different assess approaches in view of these two different disturbance characteristics.For abrupt disturbance,it built a multiinput-multioutput(MIMO) minimum variance(MV) benchmarking based on the thought which optimized the whole singleinput-singleoutput(SISO) process proposed by Olaleye and Xu.For LTV disturbance,made use of interactor matrix and considered the system as a LTV one,it put forward a set of systematic algorithm and process to set up a time-variant MIMO MV benchmarking.Research on theory and simulation show the methods above can assess MIMO system with time-variant disturbance accurately and effectively.更多还原