Abstract
This article addresses a finite-time prescribed performance controller within the concise fuzzy-neural framework with application to a waverider aircraft. First, new finite-time performance functions are developed to construct a constraint funnel, which accomplishes that tracking errors converge to their steady-state values in a given time (i.e., finite-time convergence), being expected to guarantee tracking errors with small overshoots. Then, the equivalent transformation approach is introduced to unify unknown dynamics such that the control complexity is reduced. Moreover, to further reduce computational costs, a single-learning-parameter-based regulation scheme is developed for fuzzy-neural approximation. Finally, the proposed method is applied to a waverider aircraft to test its effectiveness and superiority.
Highlights
A UTOMATIC control technology can play an important role in many application fields such as industrial control, aerospace engineering, robot, transportation, and home appliances [1]-[3]
This needs a decomposition of dynamic systems with perturbations into the accurate part and the unknown part
We develop a new type of performance functions, which can adaptively regulate the constraint boundary according to the sign of initial error, such that the tracking error converges to its steady-state value in a given time, given by
Summary
A UTOMATIC control technology can play an important role in many application fields such as industrial control, aerospace engineering, robot, transportation, and home appliances [1]-[3]. The capital issue considered for control system design is to steer system outputs to track the reference commands in the presence of system uncertainties and external disturbances. To accomplish this objective, a preliminary selection is the roust control strategy whose priority target is the robustness at the cost of reducing some other performance indices, that is, the control performance is conservative. The motivation of this article is to propose a new FPPC scheme without complicated structure or high computation cost, capable of achieving finite-time convergence of tracking error and being expect to guarantee tracking error with small overshoot.
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