On the discrete adaptive posicast controller
IFAC Proceedings Volumes (IFAC-PapersOnline)
422 - 427
Item Usage Stats
MetadataShow full item record
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/27896
In this paper, we present the discrete version of the Adaptive Posicast Controller (APC) that deals with parametric uncertainties in systems with input time-delays. The continuous-time APC is based on the Smith Predictor and Finite Spectrum Assignment with time-varying parameters adjusted online. Although the continuous-time APC showed dramatic performance improvements in experimental studies with internal combustion engines, the full benefits could not be realized since the finite integral term in the control law had to be approximated in computer implementation. It is shown in the literature that integral approximation in time-delay compensating controllers degrades the performance if care is not taken. In this work, we present a development of the APC in the discrete-time domain, eliminating the need for approximation. In essence, this paper attempts to present a unified development of the discrete-time APC for systems that are linear with known/unknown input time-delays. Performances of the continuous-time and discrete-time APC, as well as conventional Model Reference Adaptive Controller (MRAC) for linear systems with known time-delay are compared in simulation studies. It is shown that discrete-time APC outperforms its continuoustime counterpart and MRAC. Further simulations studies are also presented to show the performance of the design for systems with uncertain time-delay. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Discrete time systems
Adaptive control systems
Continuous time systems
Delay control systems
Digital control systems
Internal combustion engines
Model reference adaptive control
Robustness (control systems)
Discrete - time systems
Finite spectrum assignment
Time varying parameter
Discrete time control systems
Showing items related by title, author, creator and subject.
Yu, R.; Ocali, O; Sezer, E. S. (IEEE, 1993)Robust adaptive sampled-data control of a class of linear systems under structured perturbations is considered. The controller is a time-varying state-feedback law having a fixed structure, containing an adjustable parameter, ...
Babaei, N.; Salamci, M. U.; Karakurt, A. H. (American Society of Mechanical Engineers, 2017)The paper presents an approach to the Model Reference Adaptive Control (MRAC) design for nonlinear dynamical systems. A nonlinear reference system is considered such that its response is designed to be stable via Successive ...
Effects of linear filter on stability and performance of human-in-the-loop model reference adaptive control architectures Yousefi, E.; Demir, D. F.; Sipahi, R.; Yucelen, T.; Yildiz, Y. (American Society of Mechanical Engineers, 2017)Model reference adaptive control (MRAC) can effectively handle various challenges of the real world control problems including exogenous disturbances, system uncertainties, and degraded modes of operations. In human-in-the-loop ...