Performance and robustness analysis in adaptive and non-adaptive GMVC applied to a MISO process

Nelson N. N. Yamaguti; Daniel A. M. da Silva; Bruno G. Dutra; Antonio S. Silveira

doi:10.20906/CBA2022/3246

Nelson N. N. Yamaguti Institute of Technology, Federal University of Pará, Belém, 66075-110
Daniel A. M. da Silva Institute of Technology, Federal University of Pará, Belém, 66075-110
Bruno G. Dutra Institute of Technology, Federal University of Pará, Belém, 66075-110
Antonio S. Silveira Institute of Technology, Federal University of Pará, Belém, 66075-110

DOI: https://doi.org/10.20906/CBA2022/3246

Keywords: Generalized Minimum Variance Control, Least Squares Estimation, MISO process, Performance, Robustness, Self-Tuning Control

Abstract

This paper proposes the performance and robustness analysis of the positional and incremental Generalized Minimum Variance Control (GMVC), designed in adaptive and non- adaptive topology, experimentally in a Multiple-Input and Single-Output (MISO) physical process, which has aerodynamics similar to several aerospace processes, where performance and robustness indexes are evaluated, widely studied in academia and industry. In addition to evaluating the design of the didactic plant to prove the efficiency of control techniques with the use of a complementary filter together with the responses of the sensors. The model is identified with the least squares estimation algorithms, being applied recursively to the adaptive algorithms. The results shows that GMVC with incremental action in the ARIX model in the self-tuning topology proved to be more efficient.