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                <term xml:lang="en"> Non-linear programming.</term>
                <term xml:lang="en"> SQP and TRSQP algorithms</term>
                <term xml:lang="en"> noise levels</term>
                <term xml:lang="en"> Commercial aircraft</term>
                <term xml:lang="en">Optimal control problem</term>
                <term xml:lang="fr">Bruit</term>
                <term xml:lang="fr">avions commerciaux</term>
                <term xml:lang="fr">trajectoire</term>
                <term xml:lang="fr">Algorithmes SQP et TRSQP</term>
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              <p>This contribution aims to develop an acoustic optimization model of flight paths minimizing two-aircraft perceived noise on the ground. It is about minimizing the noise taking into account all the constraints of flight without conflict. The flight dynamics associated with a cost function generate a non-linear optimal control problem governed by ordinary non-linear differential equations. To solve this problem, the theory of necessary conditions for optimal control problems with instantaneous constraints is well used. This characterizes the optimal solution as a local one when the newtonian approach has been used alongside the optimality conditions of Karush-Kuhn-Tucker and the trust region sequential quadratic programming. The SQP methods are suggested as an option by commercial KNITRO solver under AMPL programming language. Among several possible solution, it was shown that there is an optimal trajectory (for each aircraft) leading to a reduction of noise levels on the ground.</p>
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              <p>Cette contribution vise à développer un modèle mathématique d’optimisation acoustique des trajectoires de vol de deux avions en approche et sans conflit, en minimisant le bruit perçu au sol. Toutes les contraintes de vol des deux avions sont considérées. La dynamique de vol associée au coût génère un problème de contrôle optimal régis par des équations différentielles ordinaires non-linéaires. Pour résoudre ce problème, la théorie des conditions nécessaires d’optimalité pour des problèmes de commande optimale avec contraintes instanées est bien développée. Ceci se caractérise par une solution optimale locale lorsque l’approche newtonienne est utilisée en tenant compte des conditions d’optimalité de Karush-Kuhn-Tucker et la programmation quadratique séquentielle globalisée par région de confiance. Les méthodes SQP sont proposées comme option par KNITRO sous le langage de programmation AMPL. Parmi plusieurs solutions admissibles, il est retenu une trajectoire optimale menant à une réduction du niveau de bruit au sol.</p>
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