Low Complexity Prescribed Performance Back-Stepping Control of Waverider Vehicle

Abstract

In view of the complex structure of neural network prescribed performance control method and low control real-time performance, a low-complexity prescribed performance inversion control method is proposed for waverider vehicle(WV). Firstly, a new type of performance function with simple form and independent of initial error is designed to envelop the tracking error. Secondly, using a conversion strategy, the inequality constraint on the tracking error is equivalently converted into an equality constraint by introducing a conversion error. Then, based on the conversion error, a new type of inversion controller without any learning parameters is designed for WV, and it avoids the “differential term expansion” problem of traditional back-stepping control. Finally, the simulation results show that the proposed method is expected to guarantee good dynamic performance and steady-state accuracy of tracking error.

Keywords

• |waverider vehicle|prescribed performance|new performance function|new back-stepping controller|conversion error