Intelligent Design of a Pitch-rate Controller for a Single-Stage Launch Vehicle

Sagar Ghosal, Shettigar J. Prajwal, Kshetrimayum Lochan, Bidyadhar Subudhi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The first stage is very crucial for a given launch vehicle. Hence, it is necessary to design a robust control system for its flight control. In this paper, firstly conventional control approaches such as PID and LQR are designed for the autopilot of a single-stage launch vehicle. Subsequently, performance of PID controller is enhanced using Neural Network based PID (NNPID) controller which uses combination of three neural networks to calculate optimal PID gains. The autopilot developed in this paper stabilizes the launch vehicle's pitch angle, gradient of pitch, and drift angle. The drift of the launch vehicle is caused by many known and unknown reasons, therefore the controller is henceforth designed to drastically reduce the effect of such causes to minimum. Comparison of performances envisages that NNPID controller reduces the effect of drift significantly compared to PID and LQR.

Original languageEnglish
Title of host publication2021 International Symposium of Asian Control Association on Intelligent Robotics and Industrial Automation, IRIA 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages160-165
Number of pages6
ISBN (Electronic)9781665433235
DOIs
Publication statusPublished - 20-09-2021
Event2021 International Symposium of Asian Control Association on Intelligent Robotics and Industrial Automation, IRIA 2021 - Goa, India
Duration: 20-09-202122-09-2021

Publication series

Name2021 International Symposium of Asian Control Association on Intelligent Robotics and Industrial Automation, IRIA 2021

Conference

Conference2021 International Symposium of Asian Control Association on Intelligent Robotics and Industrial Automation, IRIA 2021
Country/TerritoryIndia
CityGoa
Period20-09-2122-09-21

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Control and Optimization

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