A changeable boundary prescribed performance control for the altitude ground test facility

An appointed-time prescribed performance control with continuously changeable boundary and artificial intelligence is proposed to achieve the simulation robust control in the altitude ground test facility involving engine rapid throttle movement. Firstly, considering the effects of actuator delays and parameter uncertainties, the backstepping method is employed to improve the control performance. Next, the long short-term memory neural network is used to realize a more precise feedforward control, enhancing the altitude ground test facility's response speed and disturbance rejection capability. Then, a continuously differentiable prescribed performance function with changeable boundaries is designed for the disturbance rejection control during the engine's rapid throttle movement of the altitude ground test facility. The proposed method effectively solves the problem of the possible collapse of general appointed-time prescribed performance control subjected to severe interference or performance degradation caused by expanding the boundary for security. Additionally, the control performance is further improved under the pre-extended boundary change strategy and parameter adaptive adjustment. Finally, experiments without complicated instructions and changes in the engine intake are conducted to validate the application potential of the proposed method in the multi-task continuous simulation with different performance requirements.