Abstract
The Smith predictor has been used to improve the closed-loop performance for systems with time delays. This chapter proposes a frequency-domain method to design an iterative learning control to further improve the performance of the Smith predictor controller. For a time-invariant plant with multiplicative perturbations and a Smith predictor controller, we derive a sufficient and necessary condition (which has the same form as that of a general robust performance design problem) for the iterative process to converge for all admissible plant uncertainties. In addition, the iterative learning controller under plant uncertainty is designed. An illustrative example demonstrating the main result is presented.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Rights and permissions
Copyright information
© 2009 Springer London
About this chapter
Cite this chapter
(2009). ILC with Robust Smith Compensator: Application to a Furnace Reactor. In: Real-time Iterative Learning Control. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-84882-175-0_6
Download citation
DOI: https://doi.org/10.1007/978-1-84882-175-0_6
Publisher Name: Springer, London
Print ISBN: 978-1-84882-174-3
Online ISBN: 978-1-84882-175-0
eBook Packages: EngineeringEngineering (R0)