Discrete Proportional Plus Integral (PI) Multivariable Control Laws for the Control Reconfigurable Combat Aircraft (CRCA).

Discrete Proportional Plus Integral (PI) Multivariable Control Laws for the Control Reconfigurable Combat Aircraft (CRCA).

Author:

Publisher:

Published: 1989

Total Pages: 158

ISBN-13:

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Multivariable control laws developed by Dr. Brian Porter of the University of Salford, England are used to successfully perform maneuvering tracking tasks with the NASA/Grumman Control Reconfigurable Combat Aircraft (CRCA). Porter's method is used to design discrete Proportional plus Integral (PI) control laws. Output and selected state rate feedback are used. The results in three no failure flight conditions show robust tracking control of the CRCA for five selected maneuvers. Single failures are introduced to test the ability of the fixed-gain designs to successfully control the aircraft and perform the maneuvers. The time responses show that discrete PI control law can make the CRCA successfully perform all five maneuvers for two of the three control surface failures investigated in two of the three point designs. The step response PI control law results in stable control for only one of three failure situations. Keywords: Control theory; Flight control systems; Multivariable control; Adaptive control systems. (jes).


Multivariable Control Law Design for the Control Reconfigurable Combat Aircraft (CRCA).

Multivariable Control Law Design for the Control Reconfigurable Combat Aircraft (CRCA).

Author: Daryl Hammond

Publisher:

Published: 1988

Total Pages: 422

ISBN-13:

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Typically, control law analysis and design for an aircraft include separating the longitudinal and lateral equations of motion and designing control laws for each separate motion. The simplifying assumptions are often valid and do not adversely affect the analysis and design when aerodynamic cross-coupling is minimal. The Control Reconfigurable Combat Aircraft (CRCA) design includes an all-flying canard with 30 degrees of dihedral angle which prevents the normal separation of lateral and longitudinal equations because of high aerodynamic cross-coupling. The multivariable control law design used in this thesis incorporates the high gain error actuated Proportional plus Integral (PI) controller developed by Professor Brian Porter of the University of Salford, England. Control law development and simulation are preformed using the computer aided design program called mat. Two successful fixed gain controller design methods and an adaptive controller design are demonstrated. The three control surfaces on each wing are operated together, so they are treated in this thesis as one control effector. Thus, the five CRCA control inputs for this design consist of two canards, left trailing edge flaperon, right trailing edge flaperon, and rudder. An adaptive controller design, using a recursive least squares (RLS) parameter estimation algorithm, is developed for a self-tuning control system. Theses. (SDW).