Robust model-following controller design for LTI systems affected by parametric uncertainties: a design example for aircraft motion

This article addresses the design problem of a robust model-following controller (MFC) which minimises the error between plant controlled output and model output for a linear time-invariant (LTI) plant system affected by parametric uncertainties and an LTI target model. To design such an MFC, a previously proposed MFC scheme, whose applicability has already been demonstrated with flight controller design, is adopted in this article. Our design procedure is as follows: first, a basic MFC is designed using the nominal LTI plant model and the LTI target model while a structured free matrix in the MFC is not assigned; second, model-following performance of the MFC for appropriately defined disturbance input and model input for the parametric uncertain plant model and the LTI target model is minimised using the structured free matrix; and finally, a robust MFC is obtained using the basic MFC and the optimal structured matrix. In the second step, an iterative design method for robust H 2 controllers for LTI parameter-dependent (LTIPD) systems using parameter-dependent Lyapunov functions (PDLFs), which is also proposed in this article, is applied. Two MFCs for the lateral-directional (L/D) motions of a research aircraft, which has been developed for an in-flight simulator, for two different real aircraft models, i.e. a Boeing 747 model and a Lockheed Jetstar model, are designed and their performance is confirmed via numerical simulations and flight tests.

[1]  Masayuki Sato Design method of gain-scheduled controllers not depending on derivatives of parameters , 2008, Int. J. Control.

[2]  W. D. Morse,et al.  Model following reconfigurable flight control system for the AFTI/F-16 , 1990 .

[3]  K. Masui Development of a New In-Flight Simulator MuPAL-α, AIAA-2000-4574 , 2000 .

[4]  Y. Ebihara,et al.  Robust controller synthesis with parameter-dependent Lyapunov variables: a dilated LMI approach , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[5]  Kazuya Masui,et al.  Development of a new in-flight simulator MuPAL-alpha , 2000 .

[6]  Frank L. Lewis,et al.  Aircraft Control and Simulation , 1992 .

[7]  John Broussard,et al.  Feedforward control to track the output of a forced model , 1978, 1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes.

[8]  Christopher Edwards,et al.  Sliding mode control : theory and applications , 1998 .

[9]  E. Feron,et al.  Analysis and synthesis of robust control systems via parameter-dependent Lyapunov functions , 1996, IEEE Trans. Autom. Control..

[10]  Takashi Shimomura,et al.  Strictly Positive Real H Controller Synthesis via Iterative Algorithms for Convex Optimization , 2002 .

[11]  Takatsugu Ono,et al.  VSRA In-Flight Simulator-Its Evaluation and Applications , 1988 .

[12]  N. Kawahata,et al.  Model-Following System with Assignable Error Dynamics and Its Application to Aircraft , 1980 .

[13]  Norman C. Weingarten History of In-Flight Simulation at General Dynamics , 2005 .

[14]  Philip A. Reynolds,et al.  Theory and Flight Verification of the TIFS Model-Following System , 1972 .

[15]  Anuradha M. Annaswamy,et al.  Stable Adaptive Systems , 1989 .

[16]  P. Khargonekar,et al.  State-space solutions to standard H/sub 2/ and H/sub infinity / control problems , 1989 .

[17]  L. Silverman,et al.  Model matching by state feedback and dynamic compensation , 1972 .

[18]  M. Sato Robust H/sub 2/ problem for LPV systems and its application to model-following controller design for aircraft motions , 2004, Proceedings of the 2004 IEEE International Conference on Control Applications, 2004..

[19]  Fen Wu,et al.  Induced L2‐norm control for LPV systems with bounded parameter variation rates , 1996 .

[20]  Takashi Shimomura,et al.  Multiobjective control via successive over‐bounding of quadratic terms , 2005 .

[21]  P. Gahinet,et al.  Affine parameter-dependent Lyapunov functions and real parametric uncertainty , 1996, IEEE Trans. Autom. Control..

[22]  J. Geromel,et al.  Extended H 2 and H norm characterizations and controller parametrizations for discrete-time systems , 2002 .

[23]  Minyue Fu,et al.  Model Following Robust Control of Linear Time-Varying Uncertain Systems , 1992 .

[24]  Anthony J. Calise,et al.  Development of a Reconfigurable Flight Control Law for Tailless Aircraft , 2001 .

[25]  Bijnan Bandyopadhyay,et al.  Variable structure model following controller using non-dynamic multirate output feedback , 2003 .

[26]  M. C. D. Oliveiraa,et al.  A new discrete-time robust stability condition ( , 1999 .

[27]  Mario Sznaier Receding horizon: an easy way to improve performance in LPV systems , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

[28]  W. F. Jewell,et al.  Aircraft handling qualities data , 1972 .

[29]  C. Scherer Mixed H2/H∞ control for time‐varying and linear parametrically‐varying systems , 1996 .

[30]  P. Khargonekar,et al.  State-space solutions to standard H2 and H∞ control problems , 1988, 1988 American Control Conference.

[31]  Fan Wang,et al.  Improved stability analysis and gain-scheduled controller synthesis for parameter-dependent systems , 2002, IEEE Trans. Autom. Control..

[32]  Pierre Apkarian,et al.  Advanced gain-scheduling techniques for uncertain systems , 1998, IEEE Trans. Control. Syst. Technol..

[33]  Ross J. Gadient,et al.  Adaptive / Reconfigurable Flight Control Augmentation Design Applied to High -Winged Transport Aircraft , 2004 .

[34]  W. von Grünhagen,et al.  A High Bandwidth Control System for a Helicopter In-Flight Simulator. , 1994 .