稳定回路性能评估研究

稳定回路由方位稳定回路、纵摇和横摇稳定回路组成。回路的主要控制目的是减小过程的突变。满意的性能对于维持回路控制器质量来说至关重要。在控制性能评估中,最小方差控制是最流行的基准之一。对于SISO过程,由给定的过程时延的信息能容易地估计出最小方差。然而,得到多变量系统的最小方差基准要困难得多,因为解决方法取决于过程交互矩阵。文章介绍一种针对多变量控制系统的性能指标。多变量最小方差控制性能作为很好的评定控制系统性能的基准,提供了可以从常规操作数据中估计的过程方差的绝对下限。将提出的性能度量方法应用于稳定回路中。

Performance Assessment of Multivariate Control Systems on Stabilized Loop

Stabilized loop is composed of azimuth stabilized loop, roll stabilized loop and pitching stabilized loop. The main control objective of the loops is to decrease process variation. The satisfactory performance of these loops is important for maintaining controllers＇ quality. The minimum variance （MV） control is one of the most popular benchmarks in control performance assessment. For a SISO process, the minimum variance can easily be estimated given the information of the process time delay. However, it is more difficult to obtain the MV benchmark for a multivariable system since the solution relies on the process interactor matrix. This paper introduces a multivariate performance measure of such control system. The multivarianc minimum variance control performance that provides an absolute lower bound on process variance can be estimated from routine operating data, and serves as a good benchmark to assess control system performance. The proposed measure of performance is evaluated by application to the multivariate control system of Stabilized loop.