Direct Data Driven Model Reference Control for Flight Simulation Table

Abstract

We present a direct data driven model reference control framework for flight simulation table from both the theoretical analysis and engineering application. Sate of the art direct driven model reference control designs the unknown controller based on the input-output data and guarantees the actual model converge to the reference model, under a case of no any priori knowledge for the unknown plant. We improve this direct data driven model reference control strategy by considering its stability validation and synthesis analysis for nonlinear controller. The resulting direct data driven model reference control scheme can be implemented to ensure flight simulation table rotate accuracy, resulting in improved performance index. As the main technical contribution, we show that the proposed direct data driven model reference control framework also ensures closed loop stability and suitable extension for nonlinear controller.INDEX TERMS Model reference control, direct data driven, flight simulation table, synthesis analysis. RICARDO A. RAMIREZ-MENDOZA received the Ph.D. degree from INPG, France, in 1997. He is currently a Professor in mechatronicsmechanics and the Dean of Research with the School of Engineering and Science, Tecnologico de Monterrey. He is the coauthor of three books, more than 80 papers in top journals and more than 200 international conference papers and more than 1,000 citations. He has worked as an Expert consulting for different industries. He is also a Certified Reviewer for Regional Development Projects. His research interest includes applications of advanced control to automotive systems.

On Online Adaptive Direct Data Driven Control

“…The following derivation result is used in equation (27). (27) again, construct its Lagrange function to be that.…”

“…For that quadratic programming optimization problem (27) with one quadratic cost function and one inequality constrain condition, for convenience to show the online subgradient descent algorithm, we combine (u, λ) as one unknown variable v, i.e.…”

“…The parameter adjustment law is modified to satisfy Lyapunov stability. Then paper [27] combines model predictive control and direct data driven control to form our proposed direct data driven model reference control. Furthermore, some control performances are studied in that paper, such as stability validation, synthesis analysis and application engineering for flight simulation table, etc.…”

Nonlinear Direct Data-Driven Control for UAV Formation Flight System

“…More specifically, stability analysis was given for nonlinear closedloop systems with nonlinear systems and nonlinear controllers simultaneously [14]. A novel direct data-driven strategy was proposed for linear parameter-varying closed-loop systems in [15], where system identification, numerical optimization, power spectral, and optimal input design were all combined within the proposed general framework. In [16], this direct data-driven model reference control framework was presented for the flight simulation table, and its corresponding synthesis analysis was seen in [17], such as persistent excitation, optimal state feedback controller, output predictor, and stability.…”

Direct Data Driven Scheme for UAV Flight Control

“…For example, two special cases of direct data direct control are studied,i.e. iterative correlation tuning control [19] and virtual reference feedback tuning control [20]. From our previous contributions, we introduce lots of interesting topics from system identification into direct data driven control strategy.…”