Abstract
The rotational/translational proof-mass actuator (RTAC) system is a well-known benchmark for nonlinear control for which a number of controllers were designed. In this paper, we apply fuzzy Lyapunov synthesis, which is a computing with words version of classical Lyapunov synthesis, to design fuzzy controllers for the RTAC system. This allows us to systematically design state-feedback and output-feedback controllers using only a linguistic description of the RTAC system. The designed fuzzy controllers yield a globally asymptotically stable closed-loop system. We demonstrate their advantages in comparison with a previously designed linear controller for the RTAC system.
| Original language | English |
|---|---|
| Pages (from-to) | 230-235 |
| Number of pages | 6 |
| Journal | IEEE Transactions on Fuzzy Systems |
| Volume | 12 |
| Issue number | 2 |
| DOIs | |
| State | Published - Apr 2004 |
Keywords
- Fuzzy lyapunov synthesis
- Nonlinear control
- Output-feedback controller
- Rotational/translational proof-mass actuator (RTAC) system
- Translational oscillations with a rotational actuator (TORA) system
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