Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4974087 | Journal of the Franklin Institute | 2017 | 25 Pages |
Abstract
In this paper, a solution for improvement of transient performance in adaptive control of nonlinear systems is proposed. An optimal adaptive controller based on a reset mechanism and a prescribed performance bound is devised. The suggested controller has the structure of adaptive backstepping controller in which the estimated parameters are reset to an optimal value. The designed controller ensures both the transient bound and the asymptotical convergence of the states. It is shown that the tracking error satisfies the prescribed performance bound all the time, besides the speed of the convergence rate is increased by resetting the estimated parameters. The results have been proved through both the analytical and simulation studies. The proposed method is applied to an Augmented Quarter Car Model as a case study. Simulation results verify the established theoretical consequences that the prescribed performance bound based optimal adaptive reset controller can enhance the transient performance of the adaptive controller.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Mehrnoush Davanipour, Alireza Khayatian, Maryam Dehghani,