LPV model reference control method for hypersonic vehicle control system

Author(s):  
Yang Zhao ◽  
Guang-Bin Cai ◽  
Sheng-Xiu Zhang
1989 ◽  
Vol 111 (2) ◽  
pp. 292-298 ◽  
Author(s):  
N. Hori ◽  
A. S. Pannala ◽  
P. R. Ukrainetz ◽  
P. N. Nikiforuk

A new model reference control method is presented for a linear, time-invariant system which may have multiple inputs and outputs. The design method is described in the discrete-time form using the Euler operator, which approaches the Laplace operator as the sampling interval aproaches zero. This method is applied to the positioning control of an electrohydraulic servo actuator and implemented using a personal computer in real time. The experimental results show that the plant response is significantly improved using the proposed method over the conventional output feedback method. The proposed method has potential applications to robots and other servomechanisms.


2020 ◽  
Vol 10 (1) ◽  
pp. 5186-5190
Author(s):  
B. Bourouba ◽  
S. Ladaci

In this study, a new non-integer indirect adaptive control method with reference model is suggested for the class of non-integer order systems. The objective of model reference control is to include the output of the given reference fractional model in tracking the output of a controlled plant by using the concept of on-line goal adaptation. The stability of the closed-loop system is analyzed via the Lyapunov method. Finally, Matlab simulation results are presented to illustrate the effectiveness of the proposed method of indirect fractional model reference adaptive control.


Author(s):  
Fan Wang ◽  
Hongjun Li ◽  
Hongyang Xu ◽  
Jie Yan ◽  
Jin Zhang

A large-scale change in the aerodynamic characteristics of the aircraft caused by the inlet unstart of the air-breathing hypersonic vehicle causes a large oscillation of the response or even a control system instability. A model reference adaptive control method considering the influence of inlet unstart is proposed. Firstly, the attitude control system is designed based on LQR-PI method for the model of inlet start, which is used as the reference model. When the inlet unstart, the model reference adaptive control is added on the basis of LQR-PI controller to improve the robustness of the system to the uncertainties caused by the inlet unstart. The method can quickly stabilize the attitude when the inlet unstart, and provides conditions for the inlet restart. Finally, the present method is verified by the simulation results. The simulation results show that when the inlet unstart, the system can re-track quickly the control command, and the steady-state error tends to zero, which verifies the effectiveness of the present method.


AIAA Journal ◽  
1971 ◽  
Vol 9 (5) ◽  
pp. 950-952 ◽  
Author(s):  
D. J. G. JAMES

2016 ◽  
Vol 13 (6) ◽  
pp. 172988141667813 ◽  
Author(s):  
Bingbing Liang ◽  
Ziyang Zhen ◽  
Ju Jiang

This article addresses the flight control problem of air-breathing hypersonic vehicles and proposes a novel intelligent algorithm optimized control method. To achieve the climbing, cruising and descending flight control of the air-breathing hypersonic vehicle, an engineering-oriented flight control system based on a Proportional Integral Derivative (PID) method is designed for the hypersonic vehicle, which including the height loop, the pitch angle loop and the velocity loop. Moreover, as a variant of nature-inspired algorithm, modified shuffled frog leaping algorithm is presented to optimize the flight control parameters and is characterized by better exploration and exploitation than the standard shuffled frog leaping algorithm. A nonlinear model of air-breathing hypersonic vehicle is used to verify the dynamic characteristics achieved by the intelligent flight control system. Simulation results demonstrate that the proposed swarm intelligence optimized PID controllers are effective in achieving better flight trajectory and velocity control performance than the traditional controllers.


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