Predictor-based Model Reference Adaptive Controller Design for the Longitudinal Motion of a Hybrid Autogyro

The model reference adaptive control (MRAC) scheme is a popular method to control systems with uncertainties. It is improved by adding a predictor to be a controller of predictor-based model reference adaptive control (PMRAC). The PMRAC controller can compensate for the system uncertainty and does not need an accurate model so that it has a better performance than the traditional PID controllers. This paper focuses on the PMRAC controller design for a hybrid auto gyro whose characteristics is similar with the fixed-wing unmanned aerial vehicle. To show the excellent performance of the PMRAC controller, a traditional PID controller is designed for comparison. Numerical simulations show the anti-jamming ability of the proposed PMRAC controller.