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CONSYS: Control Optimization for Non-minimum Phase System via Series Cascade Structure
  • +3
  • Hirak Mazumdar,
  • Ashish Kumar Singhal,
  • Manish Yadav,
  • Vijay Yadav,
  • Jyoti Deshmukh,
  • Manish Billore
Hirak Mazumdar
Woxsen University

Corresponding Author:[email protected]

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Ashish Kumar Singhal
Sagar Institute of Science Technology and Research
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Manish Yadav
Sardar Vallabhbhai National Institute of Technology
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Vijay Yadav
Lakshmi Narain College of Technology
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Jyoti Deshmukh
Sagar Institute of Science Technology and Research
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Manish Billore
Sagar Institute of Science Technology and Research
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Abstract

This work elucidates the control of integrating non-minimum phase system via series cascade scheme with fractional-order P.I. (Proportional–Integral) plus D (Derivative) controller. The traditional Internal Model Control (IMC) is adopted for inner loop controller design. The feedback D controller is synthesized with the outer loop process model, which shows the work’s universality. The outer loop controller is suggested in the IMC framework after accountability of fractional-filter and inverse response compensator. This combination is revealed to enhance performance without compromising the robustness. The Riemann sheet principle is explored to compute the stability of the suggested controller. The sensitivity analysis has asserted the robustness. More importantly, the optimal value of controller settings is achieved via the Teaching Learning Based Optimization (TLBO) algorithm. This TLBO algorithm uses an objective function that minimizes Integral Square Error (ISE). Two illustrative problems are utilized to examine the recommended control structure’s virtue.
22 May 2023Submitted to Applied Research
22 May 2023Submission Checks Completed
22 May 2023Assigned to Editor
22 Jun 2023Reviewer(s) Assigned
28 Aug 2023Review(s) Completed, Editorial Evaluation Pending
29 Aug 2023Editorial Decision: Revise Major
25 Sep 20231st Revision Received
26 Sep 2023Submission Checks Completed
26 Sep 2023Assigned to Editor
13 Oct 2023Reviewer(s) Assigned
10 Nov 2023Review(s) Completed, Editorial Evaluation Pending
17 Nov 2023Editorial Decision: Revise Major
25 Jan 20243rd Revision Received
29 Jan 2024Submission Checks Completed
29 Jan 2024Assigned to Editor
05 Feb 2024Reviewer(s) Assigned
29 Feb 2024Review(s) Completed, Editorial Evaluation Pending