SS-MPC: A user-friendly software based on single shooting optimization to solve Model Predictive Control problems[Formula presented]

Saeid Bayat; James T. Allison

doi:10.1016/j.simpa.2023.100566

SS-MPC: A user-friendly software based on single shooting optimization to solve Model Predictive Control problems[Formula presented]

Research output: Contribution to journal › Article › peer-review

Abstract

To optimize active engineering systems, closed-loop controllers are crucial due to model discrepancies and uncertain disturbances. However, simple controllers like PID have limitations. Model Predictive Control (MPC) addresses these issues by optimizing system behavior, ensuring constraint compliance, and delivering exceptional performance. This paper presents a user-friendly Matlab program for MPC design. The program allows interactive parameter adjustments, result visualization, and optional combination of MPC with a Kalman filter. This software aims to facilitate broader adoption of advanced control methods. This paper includes an example with an analytical solution and compares that with the MPC results.

Original language	English (US)
Article number	100566
Journal	Software Impacts
Volume	17
DOIs	https://doi.org/10.1016/j.simpa.2023.100566
State	Published - Sep 2023

Keywords

Kalman filter
Model Predictive Control (MPC)
Optimization
Single shooting
Software

ASJC Scopus subject areas

Software

Online availability

10.1016/j.simpa.2023.100566

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title = "SS-MPC: A user-friendly software based on single shooting optimization to solve Model Predictive Control problems[Formula presented]",

abstract = "To optimize active engineering systems, closed-loop controllers are crucial due to model discrepancies and uncertain disturbances. However, simple controllers like PID have limitations. Model Predictive Control (MPC) addresses these issues by optimizing system behavior, ensuring constraint compliance, and delivering exceptional performance. This paper presents a user-friendly Matlab program for MPC design. The program allows interactive parameter adjustments, result visualization, and optional combination of MPC with a Kalman filter. This software aims to facilitate broader adoption of advanced control methods. This paper includes an example with an analytical solution and compares that with the MPC results.",

keywords = "Kalman filter, Model Predictive Control (MPC), Optimization, Single shooting, Software",

author = "Saeid Bayat and Allison, {James T.}",

note = "Publisher Copyright: {\textcopyright} 2023 The Authors",

year = "2023",

month = sep,

doi = "10.1016/j.simpa.2023.100566",

language = "English (US)",

volume = "17",

journal = "Software Impacts",

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AU - Bayat, Saeid

AU - Allison, James T.

PY - 2023/9

Y1 - 2023/9

N2 - To optimize active engineering systems, closed-loop controllers are crucial due to model discrepancies and uncertain disturbances. However, simple controllers like PID have limitations. Model Predictive Control (MPC) addresses these issues by optimizing system behavior, ensuring constraint compliance, and delivering exceptional performance. This paper presents a user-friendly Matlab program for MPC design. The program allows interactive parameter adjustments, result visualization, and optional combination of MPC with a Kalman filter. This software aims to facilitate broader adoption of advanced control methods. This paper includes an example with an analytical solution and compares that with the MPC results.

AB - To optimize active engineering systems, closed-loop controllers are crucial due to model discrepancies and uncertain disturbances. However, simple controllers like PID have limitations. Model Predictive Control (MPC) addresses these issues by optimizing system behavior, ensuring constraint compliance, and delivering exceptional performance. This paper presents a user-friendly Matlab program for MPC design. The program allows interactive parameter adjustments, result visualization, and optional combination of MPC with a Kalman filter. This software aims to facilitate broader adoption of advanced control methods. This paper includes an example with an analytical solution and compares that with the MPC results.

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KW - Optimization

KW - Single shooting

KW - Software

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SS-MPC: A user-friendly software based on single shooting optimization to solve Model Predictive Control problems[Formula presented]

Abstract

Keywords

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