Abstract

This paper designs a double-loop cascade active disturbance rejection control (ADRC) to overcome the external disturbances and parameter uncertainty during hypersonic vehicle flight. The vehicle attitude angle and attitude angular velocity are regulated in outer loop and inner loop, respectively. A stochastic robust approach is employed to further tune the ADRC parameters for better control performances. The Monte Carlo sampling of uncertain parameter is adopted to evaluate the stochastic robust performance. An improved differential evolution algorithm that combines neighborhood field optimization and triangular mutation is employed as the numerical solver. Simulation results show that the ADRC controller with optimized parameters manifests improved robustness as well as good control performances.

Highlights

  • Wang and Stengel [2] summarized the robust flight control system of hypersonic vehicle (HV). ere are several kinds of control approaches proposed in HV attitude control, including the robust control, adaptive control, sliding mode control, and active disturbance rejection control (ADRC)

  • When applied to the attitude angle control of HV, the classical second-order single-loop ADRC ignores a large number of uncertainties, and the disturbance observed by the extended state observer (ESO) is too complex, resulting in undesirable large chattering in the control output

  • The influence of the uncertainties is illustrated. en, the stochastic robust optimization result, i.e., the optimal parameter d∗, is adopted, and the ADRC simulation is performed without uncertainties, namely, case (c)

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Summary

Introduction

Wang and Stengel [2] summarized the robust flight control system of HVs. ere are several kinds of control approaches proposed in HV attitude control, including the robust control, adaptive control, sliding mode control, and active disturbance rejection control (ADRC). Shtessel et al [4] proposed a double-loop SMC with satisfied robust performance, in which the angular velocity and attitude angular are tracked in inner loop and outer loop, respectively In presence of both uncertainties and external disturbances, stabilized velocity and altitude tracking was achieved by the adaptive terminal sliding mode control (SMC) of HV, where disturbances were estimated and compensated with a nonlinear disturbance observer (DOB) [5, 6]. Especially HV control, it remains an open problem to choose proper parameters to guarantee the system stability and further dynamic performances It is worth studying introducing the optimization technologies to improve the ADRC performances for flight control [19]. The involvement of nonlinearity, MIMO, fast time variation, and strong coupling in the controlled system incurs a very complicated optimization problem, where the effectiveness of conventional mathematical programming approaches is limited

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