Simple adaptive control for plants with unknown sensor failures

Abstract

Simple Adaptive Control (SAC) is well-known as one of the most powerful practical adaptive controls for plants with unknown parameters. However, most of the existing researches on SAC have not dealt with sensor failures. By contrast, several types of the self-repairing control systems (SRCSs) already have been developed in our previous works. The SRCS can automatically replace the failed components with the healthy backups if the failures occur. Unfortunately, the SRCS works under the assumption that the plant parameters are roughly known. Then, this paper presents a new SAC system (SACS) which has the self-repairing function against unknown sensor failures. A nonlinear adaptive detection filter (detector) is developed and introduced to the SACS. This paper also shows a theoretical analysis on control performance, and numerical simulation is explored to confirm the effectiveness.