Reduced Order Modeling Using Singular Perturbation Method

被引：0
|
作者：
Safiullah [1 ]
Gupta, Yogesh Kumar [1 ]
Prajapati, Bhagat Singh [1 ]
机构：
[1] Hindustan Inst Technol & Management AKTU Lucknow, Elect & Elect Engn, Agra, Uttar Pradesh, India
来源：
2018 INTERNATIONAL CONFERENCE ON POWER ENERGY, ENVIRONMENT AND INTELLIGENT CONTROL (PEEIC) | 2018年
关键词：
singular perturbation method (SPM); eigen value; controllable canonical form (CCF); model order reduction; stability; relative integral square error (RISE); REDUCTION; SYSTEMS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Model order reduction has been done of linear time invariant (LTI) systems by utilization of Singular Perturbation Method (SPM). In this method Eigen values of full order original system are divided into "slow" and "fast" subsystems depending on the dominating and non-dominating Eigen values. First of all the system matrices A, B, C and D are transformed into Controllable Canonical Form (CCF) as the partition matrix A(22) must be non singular. The result obtained using proposed method is almost same as that of full order system and comparable with other popular methods of model order reduction. Singular perturbation method also retains the stability of original higher order system. The effectiveness of this technique is illustrated by taking one example.
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页码：6 / 9
页数：4
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