Robust Optimization of Integrated Aircraft-Propulsion System Control to Meet Takeoff Noise Requirements of Supersonic Business Jet

Abstract

The integrated aircraft-propulsion system control is considered from the point of view of the probability of meeting stringent market takeoff noise requirements to supersonic business jet (SSBJ). The probability of meeting requirements to the SSBJ cumulative noise level was considered, by taking into account the accuracy of SSBJ noise prediction models and real-life accuracy of optimal control realization. The robust optimization of integrated aircraft-propulsion system control was used to achieve maximum probability of meeting SSBJ takeoff noise requirements. For robust optimization the IOSO technology (new generation multidimensional nonlinear optimization technology) was used. The results of this paper show the Pareto set probability statement, which allows us to find the set of compromise control laws for different levels of preset probabilities. The paper presents the comparison of conventional deterministic and stochastic approaches to assess maximum probability of meeting of market noise requirements. The proposed stochastic approach to noise reduction allows us to considerably decrease the risk level in meeting future stringent noise requirements.