학술논문

Extended Approach to Analytical Triangular Decoupling Internal Model Control of Square Stable Multivariable Systems With Delays and Right-Half-Plane Zeros
Document Type
Periodical
Source
IEEE Access Access, IEEE. 11:32201-32228 2023
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Delays
MIMO communication
Transfer functions
Mathematical models
Filtering theory
Control systems
Process control
Triangular decoupling
multivariable systems
multi-input
multi-output systems
square systems
open-loop-stable systems
nonminimum-phase systems
RHP transmission zeros
internal model control
input delays
model simplification
Language
ISSN
2169-3536
Abstract
The Analytical Triangular Decoupling Internal Model Control (ATDIMC) technique for $2\times 2$ systems is generalized to $n\times n$ systems ( $n\ge 2)$ with delays and right-half-plane (RHP) transmission zeros. The formulation is done by first creating a triangular closed-loop transfer function matrix corresponding to the achievement of the triangular decoupling objective of restraining inverse-response and control-loop-interaction characteristics to a single plant output. Subsequently, the corresponding multivariable internal model controller is calculated, with transfer-function approximations made using an optimization algorithm that minimizes the Integral Time-Weighted Absolute Error (ITAE) of the difference between the step responses of the original and reduced expressions. It is shown that $n$ ATDIMC designs emerge that achieve the shifting of inverse responses and interactions to a least-desired output, with delays retained for all outputs and asymptotic tracking of setpoints achieved for all $n$ outputs of each design. To mitigate the possible effect of severe interaction on the least-desired output, a modification of this formulation is performed to spread inverse-response behavior to a second output, while minimizing the interaction of that output with the initial least-desired output. Simulation results for selected $3\times 3$ and $4\times 4$ systems show the effectiveness of these propositions.