Active Visual Servo Pan/Tilt Control Design based on Improved Augmented LQR

Yaohong Qu, Bing Yang, Ziquan Yu, Yuanjie Song, Ying Sun

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Aiming at the problem of imbalance between response time and overshoot in traditional visual servo systems, weak disturbance suppression ability and researching after target loss, this paper analyzed the tracking control principle and imaging principle of visual servo Pan/Tilt/Zoom(PTZ), and designed a method based on an improved augmented LQR (IALQR) method for a servo PTZ controller, and proposed a global scan search control method with high engineering feasibility. The mathematical model of the gimbal was established through system identification, and the gimbal controller was designed and verified in a simulation environment. The servo performance of the gimbal and the effectiveness of the global scanning search control method were verified in an experimental platform. The simulation results show that the angle loop controller developed in this paper has shorter adjustment time and less overshoot than the PID control, and can effectively reduce overshoot and compensate for disturbance compared with the traditional augmented LQR method. The experimental results show that the designed PTZ controller can achieve stable servo control. Compared with the traditional single-loop PID servo control, the steady-state error is smaller. At the same time, the probability of researching after the target is lost is more than 90%.

Original languageEnglish
Title of host publicationProceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3702-3707
Number of pages6
ISBN (Electronic)9781728158549
DOIs
StatePublished - Aug 2020
Event32nd Chinese Control and Decision Conference, CCDC 2020 - Hefei, China
Duration: 22 Aug 202024 Aug 2020

Publication series

NameProceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020

Conference

Conference32nd Chinese Control and Decision Conference, CCDC 2020
Country/TerritoryChina
CityHefei
Period22/08/2024/08/20

Keywords

  • Augmented LQR
  • Camera Field of View
  • Disturbance
  • Scan Search
  • Visual Servo

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