Adaptive estimation of time-varying parameters with application to roto-magnet plant
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
This paper presents an alternative adaptive parameter estimation framework for nonlinear systems with time-varying parameters. Unlike existing techniques that rely on the polynomial approximation of time-varying parameters, the proposed method can directly estimate the unknown time-varying parameters. Moreover, this paper proposes several new adaptive laws driven by the derived information of parameter estimation errors, which achieve faster convergence rate than conventional gradient descent algorithms. In particular, the exponential error convergence can be rigorously proved under the well-recognized persistent excitation condition. The robustness of the developed adaptive estimation schemes against bounded disturbances is also studied. Comparative simulation results reveal that the proposed approaches can achieve better estimation performance than several other estimation algorithms. Finally, the proposed parameter estimation methods are verified by conducting experiments based on a roto-magnet plant.
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
CitationNa, J.; Xing, Y.; Costa-Castelló, R. Adaptive estimation of time-varying parameters with application to roto-magnet plant. "IEEE Transactions on Systems, Man, and Cybernetics. Systems", 10 Desembre 2018, vol. 7, p. 19471-19487.