Dynamic-inversion is an effective alternative control structure when compared to a conventional proportional-derivative structure for the nonlinear dynamics of a flight motion simulator. Results indicate the dynamic-inversion controller significantly reduced the lag and motion errors in system response while accommodating a larger bandwidth of motion. Perturbations affected the dynamic-inversion performance, however, dynamic-inversion is recommended over the conventional proportional-derivative controller.
Aiming at dealing with the existing noise of triaxial flight simulation turntable, the paper design digital filter low-pass transmitters and generalized minimum variance control filter to process signal for random disturbance, and have test study based on outside box control system of triaxial flight simulation turntable. The test results show that we can get better control effect by adopting generalized minimum variance control rates to denoise for measured signal on triaxial flight simulation turntable, and that is much helpful to improve the noise control accuracy.
L 1 adaptive control has emerged as a powerful technique for enabling a posteriori control action given a bounded level of uncertainty and disturbance, while adhering to the appropriate bandwidth of the vehicle actuation system. In this paper, we present our recent approach to leverage the benefits of L 1 with a minimally invasive approach to an existing flight control system with an input output feedback linearization method, otherwise known as dynamic inversion. We detail the design steps and the augmented equations for integrating the adaptation via two candidate methodologies, and present simulation results on a multi-input multi-output linear time invariant model of a tailless fighter. Finally, we outline observations and comparisons and conclude with planned research ahead.