Smith predictor based LAMDA Sliding-Mode Control applied to a Mixing Tank with Variable Dead Time

Abstract

This document presents a Smith predictor based LAMDA (Learning Algorithm for Multivariable Data Analysis) Sliding-Mode Control "LSMC" applied to a Mixing Tank with Dead Time. The Smith Predictor structure is used in order to improve the performance of the controller due to the nonlinearity generated by the dead time produced in the mixing tank. Smith Predictor requires an approximation of the plant model for good performance, however, in plants with variable dynamics, a robust controller capable of controlling the system while maintaining stability is required, for which the LSMC proposal is used. The proposed scheme is validated when disturbances are introduced and when reference changes are made, which causes the system to change its operating point. The results obtained by the controller are promising and show that it is a viable proposal to implement it due to the ease of design.