Actuators (Dec 2021)

Output-Feedback Position Tracking Servo System with Feedback Gain Learning Mechanism via Order-Reduction Speed-Error-Stabilization Approach

  • Sung Hyun You,
  • Seok-Kyoon Kim,
  • Hyun Duck Choi

DOI
https://doi.org/10.3390/act10120324
Journal volume & issue
Vol. 10, no. 12
p. 324

Abstract

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This paper presents a novel trajectory-tracking technique for servo systems treating only the position measurement as the output subject to practical concerns: system parameter and load uncertainties. There are two main contributions: (a) the use of observers without system parameter information for estimating the position reference derivative and speed and acceleration errors and (b) an order reduction exponential speed error stabilizer via active damping injection to enable the application of a feedback-gain-learning position-tracking action. A hardware configuration using a QUBE-servo2 and myRIO-1900 experimentally validates the closed-loop improvement under various scenarios.

Keywords