Hybrid Sliding Mode Control for Dominant Dead-time systems based on a Sliding Surface with iterated integral terms

Dead-time is a common phenomenon in industrial processes, which can degrade the overall performance of a control system, causing poor setpoint tracking, slow disturbance rejection, and reduced control accuracy. This paper discusses a hybrid control strategy based on sliding-mode control and the Smith Predictor approach using a sliding surface with iterated integral terms. For evaluation, two examples are utilized: the first deals with a higher-order linear system characterized by substantial delay, emphasizing tracking, disturbance rejection, and referencing variable tracking. The second example pertains to experimental research conducted with the TCLab device.

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Published
2025-06-24
DOI
https://doi.org/10.23919/ecc65951.2025.11186976
Primary Topic
Adaptive Control of Nonlinear Systems
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article
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article

Hybrid Sliding Mode Control for Dominant Dead-time systems based on a Sliding Surface with iterated integral terms

Óscar Camacho, Juan J. Gude, Diego S. Benítez, Marco Herrera et al.
Adaptive Control of Nonlinear Systems
article

Hybrid Sliding Mode Control for Dominant Dead-time systems based on a Sliding Surface with iterated integral terms

Óscar Camacho, Juan J. Gude, Diego S. Benítez, Marco Herrera, Sebastian Vega
article en

Abstract

Dead-time is a common phenomenon in industrial processes, which can degrade the overall performance of a control system, causing poor setpoint tracking, slow disturbance rejection, and reduced control accuracy. This paper discusses a hybrid control strategy based on sliding-mode control and the Smith Predictor approach using a sliding surface with iterated integral terms. For evaluation, two examples are utilized: the first deals with a higher-order linear system characterized by substantial delay, emphasizing tracking, disturbance rejection, and referencing variable tracking. The second example pertains to experimental research conducted with the TCLab device.

Universidad de Deusto (ES), Universidad San Francisco de Quito (EC)
Openalex Percentile: Top 63%
Adaptive Control of Nonlinear Systems
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