Discrete-Time I&I Adaptive Control for a Class of Uncertain Port-Controlled Hamiltonian Systems

Mohammed Alkrunz, Yaprak Yalçın
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Abstract

In this paper, we presented a discrete-time adaptive Passivity Based Control (PBC) for linearly parametrized port-controlled Hamiltonian systems with additive uncertainty. For the parameter estimation we exploited the Immersion and Invariance approach to achieve an automatic tuning for the designed PBC controller. The locally asymptotic stability of the closed loop system under PBC control with proposed parameter estimator is shown using Lyapunov theory. Simulations are carried out to test performance of proposed adaptive control method. Results illustrates that the estimator successfully estimates the uncertain parameters and the PBC utilizing this parameters stabilizes the closed loop system and preserve the performance of certainty equivalent controller.
一类不确定端口控制哈密顿系统的离散I&I自适应控制
本文针对具有可加不确定性的线性参数化端口控制哈密顿系统,提出了一种离散时间自适应无源控制方法。对于参数估计,我们利用浸入和不变性方法来实现所设计的PBC控制器的自动调谐。利用李雅普诺夫理论证明了该参数估计器在PBC控制下闭环系统的局部渐近稳定性。通过仿真验证了所提出的自适应控制方法的性能。结果表明,该估计器成功地估计了不确定参数,PBC利用这些参数稳定了闭环系统,并保持了确定性等效控制器的性能。
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