Tahoun A H
Department of Computer and Control Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt; Department of Computer Science, Faculty of computer Science and Information Technology, Albaha University, Albaha, Saudi Arabia.
ISA Trans. 2017 Sep;70:139-148. doi: 10.1016/j.isatra.2017.07.012. Epub 2017 Jul 20.
This paper studies the problem of actuator-nonlinearities compensation in the multi-input uncertain neutral systems. The neutral systems with different unknown time-varying delays, unmodeled dynamics, nonlinear perturbations and disturbances are considered. A new methodology based on the online estimation of the delays to compensate for the effects generated by dead-zone and saturation, acting in series on a system's input are presented. The online estimations of the unknown delays are accomplished by adaptive laws that guarantee the exponential stabilities of the estimated delays. In the presence of state time delay, derivative state time delay, unmodeled dynamics, nonlinear perturbations, disturbances and both input dead-zone and saturation, the asymptotic stability of the closed-loop system is ensured and the state response converge to the origin. Finally, the practicability and the efficacy of the proposed approach is demonstrated via a numerical example.
本文研究多输入不确定中立系统中的执行器非线性补偿问题。考虑了具有不同未知时变延迟、未建模动态、非线性扰动和干扰的中立系统。提出了一种基于延迟在线估计的新方法，以补偿串联作用于系统输入的死区和饱和所产生的影响。未知延迟的在线估计通过自适应律来完成，该自适应律保证了估计延迟的指数稳定性。在存在状态时滞、导数状态时滞、未建模动态、非线性扰动、干扰以及输入死区和饱和的情况下，确保了闭环系统的渐近稳定性，并且状态响应收敛到原点。最后，通过一个数值例子证明了所提方法的实用性和有效性。
