Optimisation approach to robust eigenstructure assignment

Konstantopoulos, Ioannis K.; Antsaklis, Panos J.

doi:10.1049/ip-cta:19990632

Cited by 9 publications

(1 citation statement)

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“…Active control technology (ACT) brings more and more benefits such as better control quality and more safety [1]. Modern flight control system is a multi-in-multi-out (MIMO) and cross-coupling system, traditional proportional-plus-integral strategy, with gain scheduling, optimizes parameters by linear feedback in one-loop-at-a-time and is hard to meet rigid requirements [2], however, modern control techniques such as eigenstructure assignment (EA) have been specifically developed to deal with MIMO systems and is now widely used in the design of modern flight control systems [3].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Optimization Approach of Eigenstructure Assignment Based Flight Control for Advanced Fighter

Yang

Zhu

Sun

2006

2006 Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing

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An intelligent optimization approach is proposed for eigenstructure assignment (EA) via neural network (NN) adjusting the components of output vector autonomously. The Basic idea is to minimize the L 2 norm of error between the desired vector and achievable vector using the designing freedom provided by EA technique. Besides adjusting the output vector parameters, the closed-loop eigenvalues are also optimized within desired regions on the left-half complex plane to ensure both closed-loop stability and dynamical performance. With the proposed approach, additional closed-loop specifications such as decoupling of different modes and robustness can also be easily achieved. As a demonstration, application of the proposed approach to the designing of flight control law for an advanced fighter is discussed. The results show good closed loop performance and validate the proposed intelligent optimization approach of EA technique.

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Section: Introductionmentioning

confidence: 99%