Order diminution and its application in controller design using salp swarm optimization technique

被引:10
作者
Ahamad, Nafees [1 ]
Sikander, Afzal [2 ]
Singh, Gagan [1 ]
机构
[1] DIT Univ, Elect & Elect & Commun Engn Dept, Dehra Dun, Uttarakhand, India
[2] Dr BR Ambedkar Natl Inst Technol Jalandhar, Dept Instrumentat & Control Engn, Jalandhar, Punjab, India
关键词
Model order reduction; Order diminution; Salp swarm optimization; Reduced-order controller design; MODEL-REDUCTION; GA ALGORITHM; SYSTEM;
D O I
10.1007/s13198-021-01367-6
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Order diminution (OD) or model order reduction (MOR), a very important field of System Engineering, has been explored by many researchers. Different methods are available for reducing the complexity of a control system, which are subsequently utilized to get a cost-effective controller. Model order reduction is done by either using classical methods or by using optimization techniques. In optimization algorithms, accuracy, complexity, and convergent rate are the main criteria for comparison in OD. This paper contributes a novel fast and more accurate OD (MOR) technique based on Salp Swarm Optimization. Further, the proposed method is applied to a time-delay system in four different manners. The effectiveness of the proposed technique is shown by reducing four benchmark systems, including a system with time delay and an 84th order system. Finally, the application of OD is shown by designing a reduced-based H-infinity controller for the 84th order system which results in a great saving of time (approximate to 96%). The obtained results are comparable or better than those from the existing well-known order reduction techniques available in the literature.
引用
收藏
页码:933 / 943
页数:11
相关论文
共 32 条
  • [1] Abdullah HN., 2019, INT J ELECT COMPUT E, V9, P1100, DOI DOI 10.11591/IJECE.V9I2.PP1100-1109
  • [2] Abu-Al-Nadi D, 2011, PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON AUTONOMIC AND AUTONOMOUS SYSTEMS (ICAS 2011), P62
  • [3] Adrish Bhaumik, 2016, PERFORMANCE STUDIES, P1
  • [4] Substructure preservation based approach for discrete time system approximation
    Ahamad, Nafees
    Sikander, Afzal
    Singh, Gagan
    [J]. MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS, 2019, 25 (02): : 641 - 649
  • [5] Ahamad N, 2017, 2017 INTERNATIONAL CONFERENCE ON POWER AND EMBEDDED DRIVE CONTROL (ICPEDC), P8, DOI 10.1109/ICPEDC.2017.8081051
  • [6] Reduced-order modeling of linear time invariant systems using big bang big crunch optimization and time moment matching method
    Biradar, Shivanagouda
    Hote, Yogesh V.
    Saxena, Sahaj
    [J]. APPLIED MATHEMATICAL MODELLING, 2016, 40 (15-16) : 7225 - 7244
  • [7] Boby Philip, 2010, EVOLUTIONARY COMPUTA, P1
  • [8] Chahlaoui Y., 2005, Benchmark examples for model reduction of linear time-invariant dynamical systems, P379
  • [9] A novel order diminution of LTI systems using Big Bang Big Crunch optimization and Routh Approximation
    Desai, S. R.
    Prasad, Rajendra
    [J]. APPLIED MATHEMATICAL MODELLING, 2013, 37 (16-17) : 8016 - 8028
  • [10] COMMENTS ON MODEL-REDUCTION BY MINIMIZING THE EQUATION ERROR
    EITELBERG, E
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1982, 27 (04) : 1000 - 1002