"Benchmark Temperature Microcontroller for Process Dynamics and Control" by Junho Park, Ronald Abraham Martin et al.
 

Keywords

Benchmark, Dynamics, PID tuning, Model predictive control, Microcontroller

Abstract

Standard benchmarks are important repositories to establish comparisons between competing model and control methods, especially when a new method is proposed. This paper presents details of an Arduino micro-controller temperature control lab as a benchmark for modeling and control methods. As opposed to simulation studies, a physical benchmark considers real process characteristics such as the requirement to meet a cycle time, discrete sampling intervals, communication overhead with the process, and model mismatch. An example case study of the benchmark is quantifying an optimization approach for a PID controller with 5.4% improved performance. A multivariate example shows the quantified performance improvement by using model predictive control with a physics-based model, an autoregressive time series model, and a Hammerstein model with an artificial neural network to capture the static nonlinearity. These results demonstrate the potential of a hardware benchmark for transient modeling and regulatory or advanced control methods.

Original Publication Citation

https://www.sciencedirect.com/science/article/abs/pii/S0098135419310129

Document Type

Peer-Reviewed Article

Publication Date

2020-04-06

Permanent URL

http://hdl.lib.byu.edu/1877/6976

Publisher

Elsevier

Language

English

College

Ira A. Fulton College of Engineering and Technology

Department

Chemical Engineering

University Standing at Time of Publication

Associate Professor

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