Abstract
This paper presents a novel and efficient method for autopilot design by integrating the Particle Swarm Optimization (PSO) algorithm with the Sequential Quadratic Programming (SQP) technique. In the proposed hybrid PSO-SQP algorithm, PSO algorithm is the basic optimizer and the SQP technique is used to reduce computation time and to improve convergence performance. Also, the proposed hybrid PSO-SQP algorithm is applied to autopilot design for a transport aircraft and an air-to-air missile. In view of autopilot design, we note that the proposed design method has further flexibility and control performance than classical method.
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Min, BM., Ryu, H., Sang, D., Tahk, MJ., Shim, D.H. (2007). Autopilot Design Using Hybrid PSO-SQP Algorithm. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2007. Communications in Computer and Information Science, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74282-1_67
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DOI: https://doi.org/10.1007/978-3-540-74282-1_67
Publisher Name: Springer, Berlin, Heidelberg
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