Application of Model Predictive Control to Parallel-type Double Inverted Pendulum driven by a linear motor

Chun Nan Lu, Cheng Chuan Tsai, Mi-Ching Tsai, K. V. Ling, Wu Sung Yao

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

10 Citations (Scopus)

Abstract

This paper presents the design of Model Predictive Control (MPC) applied to the Parallel-type Double Inverted Pendulum (PDIP), which is driven by a linear motor. The limited stroke length of the linear motor driving the PDIP and the varying friction distributed on the linear motor track posed a challenge for control design. Therefore, a cascade control structure is considered in this study where the inner loop is formed via state feedback and MPC directs the outer loop to enhance position control of the linear motor. Swing-up control of the PDIP was achieved with energy-based control techniques. Experimental results demonstrated successful swing-up and balancing of the two pendulums in their up-right positions. Compared to the conventional state feedback control, the cascade control structure improved the performance of the position control in the PDIP without the need for a precise friction model.

Original languageEnglish
Title of host publicationProceedings of the 33rd Annual Conference of the IEEE Industrial Electronics Society, IECON
Pages2904-2909
Number of pages6
DOIs
Publication statusPublished - 2007 Dec 1
Event33rd Annual Conference of the IEEE Industrial Electronics Society, IECON - Taipei, Taiwan
Duration: 2007 Nov 52007 Nov 8

Publication series

NameIECON Proceedings (Industrial Electronics Conference)

Other

Other33rd Annual Conference of the IEEE Industrial Electronics Society, IECON
Country/TerritoryTaiwan
CityTaipei
Period07-11-0507-11-08

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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