Application of multiobjective optimization in aircraft control systems design

Tabak, Daniel; Schy, A. A.; Giesy, Daniel P.; Johnson, Kevin R.

doi:10.1016/0005-1098(79)90007-4

Cited by 41 publications

(17 citation statements)

References 6 publications

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“…Furthermore, two more important parameters describe the behavior of an airplane in flying conditions. The first is the sideslip angle β that is the rotation angle of the nose of the airplane due to the relative wind, see [63]. The second one is the bank angle φ , that is a metric related to the speed (and performance) of the airplane and is measured in (aperiodic) degrees, see [21] for details.…”

Section: Preference Articulation In the Design Of A Fighter Vehicle Cmentioning

confidence: 99%

Progressive preference articulation for decision making in multi-objective optimisation problems

Rostami

Neri

Epitropakis

2017

ICA

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Abstract.This paper proposes a novel algorithm for addressing multi-objective optimisation problems, by employing a progressive preference articulation approach to decision making. This enables the interactive incorporation of problem knowledge and decision maker preferences during the optimisation process. A novel progressive preference articulation mechanism, derived from a statistical technique, is herein proposed and implemented within a multi-objective framework based on evolution strategy search and hypervolume indicator selection. The proposed algorithm is named the Weighted Z-score Covariance Matrix Adaptation Pareto Archived Evolution Strategy with Hypervolume-sorted Adaptive Grid Algorithm (WZ-HAGA).WZ-HAGA is based on a framework that makes use of evolution strategy logic with covariance matrix adaptation to perturb the solutions, and a hypervolume indicator driven algorithm to select successful solutions for the subsequent generation. In order to guide the search towards interesting regions, a preference articulation procedure composed of four phases and based on the weighted z-score approach is employed. The latter procedure cascades into the hypervolume driven algorithm to perform the selection of the solutions at each generation.Numerical results against five modern algorithms representing the state-of-the-art in multi-objective optimisation demonstrate that the proposed WZ-HAGA outperforms its competitors in terms of both the hypervolume indicator and pertinence to the regions of interest.

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Section: Preference Articulation In the Design Of A Fighter Vehicle Cmentioning

confidence: 99%

Progressive preference articulation for decision making in multi-objective optimisation problems

Rostami

Neri

Epitropakis

2017

ICA

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“…In this work, only the lateral/ directional motion control is considered. A state equation representing the dynamic motion of an aircraft is expressed as follows [57][58][59][60] where x = { , , , } , is the sideslip, a velocity in direction, is the yaw rate, rate of change of rotation about the -axis, is the roll rate, rate of change of rotation about the -axis, is the bank angle, rotation about the -axis, A is the kinetic energy matrix, B is Coriolis matrix, u = { } is the control vector, is the aileron deflection, and is the rudder deflection.…”

Section: Flight Dynamic Control Optimisation Problemmentioning

confidence: 99%

“…More details about this aircraft dynamic model can be found in [58][59][60]. To handle the constraints, the penalty function which was presented in [61] is used.…”

Section: Flight Dynamic Control Optimisation Problemmentioning

confidence: 99%

Estimation of Distribution Algorithm Using Correlation between Binary Elements: A New Binary-Code Metaheuristic

Pholdee

Bureerat

2017

Mathematical Problems in Engineering

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A new metaheuristic called estimation of distribution algorithm using correlation between binary elements (EDACE) is proposed. The method searches for optima using a binary string to represent a design solution. A matrix for correlation between binary elements of a design solution is used to represent a binary population. Optimisation search is achieved by iteratively updating such a matrix. The performance assessment is conducted by comparing the new algorithm with existing binary-code metaheuristics including a genetic algorithm, a univariate marginal distribution algorithm, population-based incremental learning, binary particle swarm optimisation, and binary simulated annealing by using the test problems of CEC2015 competition and one real-world application which is an optimal flight control problem. The comparative results show that the new algorithm is competitive with other established binary-code metaheuristics.

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“…Previous applications of multiple-objective decision making in the analysis of engineering systems included the choice of location for an underground power plant and the design of an aircraft lateral control system. In (24] the authors point out that multiple-objective analysis provides the designer with a high level of flexibility in choosing between various design options. This has been demonstrated in the design of lateral control systems for a heavy re-entry vehicle and a fighter aircraft [24].…”

mentioning

confidence: 99%

“…In (24] the authors point out that multiple-objective analysis provides the designer with a high level of flexibility in choosing between various design options. This has been demonstrated in the design of lateral control systems for a heavy re-entry vehicle and a fighter aircraft [24].…”

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confidence: 99%

Multiple-objective decision analysis applied to chemical engineering

Grauer

Lewandowski

Wierzbicki

1984

Computers & Chemical Engineering

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FOREWORDThe Interactive Decision Analysis Project at IIASA is studying both the theoretical basis of interactive decision support systems and their applications in a number of different fields. Such systems are of most use when decisions have to be made against a background of multiple and conflicting objectives, and they are therefore largely based on the theory of multiobjective decision analysis.This paper looks at the uses of multiobjective decision analysis in the chemical engineering industry. This is a particularly interesting area from the point of view of multiobjective decision making because recent developments have forced chemical plants to give increased weight to noneconomic criteria such as environmental quality and safety at the expense of economic criteria such as profit, capital investment, and operating costs. In addition, it is more necessary than ever for the industry to be able to adapt its production strategy to take into account changes in the economic situation (changing prices, patterns of demand, etc.). The complexity of this system is such that it is now no longer possible to determine the best course of action without some formal analysis.The techniques of multiobjective decision analysis can usefully be employed to help the plant manager find the best solution to these problems. Specific applications in process design, plant control, and production planning are described. Special emphasis is given to the reference-point approach to multiobjective decision making, and to an interactive software package (DIDASS) based on this approach which has been developed at IIASA. ANDRZEJ WIERZBICKI

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Application of multiobjective optimization in aircraft control systems design

Cited by 41 publications

References 6 publications

Progressive preference articulation for decision making in multi-objective optimisation problems

Progressive preference articulation for decision making in multi-objective optimisation problems

Estimation of Distribution Algorithm Using Correlation between Binary Elements: A New Binary-Code Metaheuristic

Multiple-objective decision analysis applied to chemical engineering

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