Integrated flight/propulsion optimal control for DPC aircraft based on the BO-PSO algorithm

Xu, Yiqiang; Zhang, Jing; Yang, Lingyu; Yang, Xin

doi:10.23919/chicc.2017.8029185

Cited by 1 publication

(1 citation statement)

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“…Nezhadhosein et al [44] integrated DE and MHGA solving numerous NOCPs, including Temperature Control for Consecutive Reaction (TCCR) problem. Similarly, Xu et al [45] recommended a novel hybrid scheme for Bayesian Optimization (BO) based on the hybridization of BO and PSO (BO-PSO), solving some complex optimization problems tremendously, for instance, Distributed Propulsion Configuration (DPC) aircraft having integrated flight/propulsion optimum control. Chiu et al [46] proposed a hybrid approach of VOLUME 10, 2022 the Sine Cosine Algorithm (SCA) and FDO (SCA-FDO) and proved its efficiency by applying it to several optimization problems.…”

Section: Introductionmentioning

confidence: 99%

A Numerical Approach for Solving Nonlinear Optimal Control Problems Using the Hybrid Scheme of Fitness Dependent Optimizer and Bernstein Polynomials

et al. 2022

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In this paper, a heuristic scheme based on the hybridization of Bernstein Polynomials (BPs) and nature-inspired optimization techniques is presented to achieve the numerical solution of Nonlinear Optimal Control Problems (NOCPs) efficiently. The solution of NOCP is approximated by the linear combination of BPs with unknown coefficients. The unknown coefficients are estimated by transforming the NOCP into an error minimization problem and formulating the objective function. The Genetic Algorithm (GA) and Fitness Dependent Optimizer (FDO) are used for solving the objective function and obtaining the optimum values of the unknown coefficients. The findings and statistical results indicate the represented hybrid scheme offers encouraging results and outperforms the most recent and popular methods proposed in the literature, which ultimately validates the efficacy and productivity of the recommended approach. Furthermore, statistical analysis is incorporated to examine the reliability and stability of the suggested technique. Consequently, the remarkable difference is evident in simplicity, flexibility, and effectiveness compared to the other methods considered.INDEX TERMS Optimal control problems, optimization problem, Bernstein polynomials, fitness dependent optimizer, genetic algorithm.

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Section: Introductionmentioning

confidence: 99%