International Journal of Control, Automation and Systems 2022; 20(10): 3177-3186
Published online September 30, 2022
https://doi.org/10.1007/s12555-021-0354-z
© The International Journal of Control, Automation, and Systems
We report on Lyapunov-theory-based model reference adaptive control schemes for improvement of Smith predictor methods applied to automatic control of time-delay systems. The theoretical analysis is carried out for first order plant models, and the Lyapunov-based adaptive control laws are derived. We also provide digital calculation methods and present numerical simulation results to verify this proposal. It is evident that the combination of Smith predictor methods and adaptive control improves the control performance of time-delay systems and prevents the system instability due to the parameter mismatches between the Smith predictor model and the real plant.
Keywords Adaptive control, Lyapunov design approach, Smith predictor, time-delay systems.
International Journal of Control, Automation and Systems 2022; 20(10): 3177-3186
Published online October 1, 2022 https://doi.org/10.1007/s12555-021-0354-z
Copyright © The International Journal of Control, Automation, and Systems.
Yangdong Zheng
Mitsubishi Electric (China) Company Limited
We report on Lyapunov-theory-based model reference adaptive control schemes for improvement of Smith predictor methods applied to automatic control of time-delay systems. The theoretical analysis is carried out for first order plant models, and the Lyapunov-based adaptive control laws are derived. We also provide digital calculation methods and present numerical simulation results to verify this proposal. It is evident that the combination of Smith predictor methods and adaptive control improves the control performance of time-delay systems and prevents the system instability due to the parameter mismatches between the Smith predictor model and the real plant.
Keywords: Adaptive control, Lyapunov design approach, Smith predictor, time-delay systems.
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