@article { author = {Ghaderi, R. and Ranjbar, Abolfazl and taleshian, tahereh}, title = {Using Modified IPSO-SQP Algorithm to Solve Nonlinear Time Optimal Bang-Bang Control Problem}, journal = {International Journal of Engineering}, volume = {26}, number = {11}, pages = {1307-1322}, year = {2013}, publisher = {Materials and Energy Research Center}, issn = {1025-2495}, eissn = {1735-9244}, doi = {}, abstract = {In this paper, an intelligent-gradient based algorithm is proposed to solve time optimal bang-bang control problem. The proposed algorithm is a combination of an intelligent algorithm called improved particle swarm optimization algorithm (IPSO) in the first stage of optimization process together with a gradient-based algorithm called successive quadratic programming method (SQP) in the second stage of the process. The proposed algorithm is called MIPSO-SQP algorithm which in essence is a modification of the previous IPSO-SQP algorithm (PIPSO-SQP). New steps in optimization process of the proposed MIPSO-SQP algorithm causes the algorithm to reach to global optimal solution regardless of any guess of the initial control input and/or the number of switching. Validity of results is verified through adding some arcs to present arcs. The proposed algorithm is successfully applied in time optimal bang-bang control of the Van Der Pol equations, Rayleigh system and F8 aircraft model. A comparison study is also performed to assess the performance of MIPSO-SQP with respect of PIPSO-SQP. It is shown that MIPSO-SQP algorithm is more effective than PIPSO-SQP algorithm due to ability to find global optimum solution in less iteration and in a more systematic way.}, keywords = {MIPSO,SQP Algorithm,Time Optimal Bang,Bang Control,Nonlinear systems,Intelligent algorithm,Gradients,Based Algorithm}, url = {https://www.ije.ir/article_72201.html}, eprint = {https://www.ije.ir/article_72201_c4c333ac573fc51c80b0a1c1de248ee3.pdf} }