An Eigenstructure Assignment approach (1)

Faleiro, Lester; Pratt, R.W.

doi:10.1007/bfb0113861

Cited by 4 publications

(2 citation statements)

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“…Eigenstructure assignment (EA) has previously been used to develop flight control systems in theoretical exercises such as an F-16 [2], a VSTOL aircraft [3] and the RCAM itself [4], and has also been implemented in the lateral control systems of the NASA high alpha research vehicle [5] and of some Airbus aircraft [6]. The somewhat simpler methodology that was used for the RCAM design described in this chapter is primarily concerned with controller design for controllable and observable linear, time-invariant MIMO aircraft systems of the form:…”

Section: Eigenstructure Analysis and Assignmentmentioning

confidence: 99%

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Eigenstructure assignment applied to the design of an autopilot function for a civil aircraft

2000

Flight Control Systems

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One of the earliest stages in the design of a flight control system (FCS) for a civil aircraft is based on the use of linear aircraft models to produce an initial controller structure. This is because linear models, usually based on small perturbations of the full nonlinear aircraft model at a point in the aircraft flight envelope, are easier and quicker to analyse mathematically. Both traditional single-input single-output (SISO) methods and most modern methods depend on this linear-synthesis stage to produce the basis for a controller. For this reason, much effort has been put into developing linearcontrol system design techniques which serve to produce a better controller for these linear aircraft models.It is often found, however, that the resulting controller does not perform well when tested in a more realistic aircraft environment, where considerations such as a much wider flight envelope, varying aircraft configuration, system nonlinearities and model uncertainties come into being. The traditional industrial approach to solving this problem is to adjust the controller iteratively until the system is satisfactory. This process results in an enormous amount of time and money being spent on tuning the controller using nonanalytical procedures. Because of the time involved in adjusting the controller in this way, linear synthesis may constitute very little of the total design effort. In the finished software, this is further diluted by the fact that the original linear-model-based control algorithms may constitute as little as five to ten per cent of the whole controller.It follows that it would be advantageous to be able to improve the initial linear synthesis to the point where much less tuning is required during subsequent design stages. This in turn would lead to a quicker and cheaper, and possibly better, design process.Naturally, this would require the development of more flexible and intuitive design tools. Modern methods have attempted to address this by Downloaded by PURDUE UNIVERSITY on July 19, 2015 | http://arc.aiaa.org |

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Section: Eigenstructure Analysis and Assignmentmentioning

confidence: 99%

“…The following solution to the RCAM design challenge problem has been documented in greater detail in Reference [4]; the design specifications have been described in Section 8.2. As part of the overall controller design process, these must be transformed into a controller structure and a controller synthesis.…”

Section: The Eigenstructure Assignment Design Cyclementioning

confidence: 99%