An improved particle swarm algorithm based on the D-Tent chaotic model is put forward aiming at the standard particle swarm algorithm. The convergence rate of the late of proposed algorithm is improved by revising the...An improved particle swarm algorithm based on the D-Tent chaotic model is put forward aiming at the standard particle swarm algorithm. The convergence rate of the late of proposed algorithm is improved by revising the inertia weight of global optimal particles and the introduction of D-Tent chaotic sequence. Through the test of typical function and the autotuning test of proportionalintegral-derivative （PID） parameter, finally a simulation is made to the servo control system of a permanent magnet synchronous motor （PMSM） under double-loop control of rotating speed and current by utilizing the chaotic particle swarm algorithm. Studies show that the proposed algorithm can reduce the iterative times and improve the convergence rate under the condition that the global optimal solution can be got.展开更多
Existing solutions for collaborative trajectory planning using multiple UAVs suffer from issues such as low accuracy,instability,and slow convergence.To address the aforementioned issues,this paper introduces a new me...Existing solutions for collaborative trajectory planning using multiple UAVs suffer from issues such as low accuracy,instability,and slow convergence.To address the aforementioned issues,this paper introduces a new method for multiple unmanned aerial vehicle(UAV)3D terrain cooperative trajectory planning based on the cuck0o search golden jackal optimization(CS-GJO)algorithm.A model for single UAV trajectory planning and a model for multi-UAV collaborative trajectory planning have been developed,and the problem of solving the models is restructured into an optimization problem.Building upon the original golden jackal optimization,the use of tent chaotic mapping aids in the generation of the golden jackal's inital population,thereby promoting population diversity.Subsequently,the position update strategy of the cuckoo search algorithm is combined for purpose of update the position information of individual golden jackals,effectively preventing the algorithm from getting stuck in local minima.Finally,the corresponding nonlinear control parameter were developed.The new parameters expedite the decrease in the convergence factor during the pre-exploration stage,resulting in an improved overall search speed of the algorithm.Moreover,they attenuate the decrease in the convergence factor during the post-exploration stage,thereby enhancing the algorithm's global search.The experimental results demonstrate that the CS-GJO algorithm efficiently and accurately accomplishes multi-UAV cooperative trajectory planning in a 3D environment.Compared with other comparative algorithms,the CS-GJO algorithm also has better stability,higher optimization accuracy,and faster convergence speed.展开更多
Common perceptions of recent tensions between Iran and the GCC states are couched in terms of a longstanding and historically rooted Shia-Sunni conflict between two major regional powers:Iran and Saudi Arabia.This pap...Common perceptions of recent tensions between Iran and the GCC states are couched in terms of a longstanding and historically rooted Shia-Sunni conflict between two major regional powers:Iran and Saudi Arabia.This paper argues that this perspective is simplistic since it ignores the major political drivers of the conflict at regional and international levels.From the perspective of the Regional Security Complex(RSC),the Persian Gulf region has been a typical security sub-complex since the 1970s.After the Iran-Iraq war,Iran adopted a detente policy towards the GCC states taking advantage of a domestic consensus to improve relations with her neighbouring states.The drive gained momentum after the arrival in office of President Hassan Rouhani in 2013.However,his GCC policy has faced multiple challenges.The GCC countries have increasingly been suspicious and critical of Iran’s growing strength and regional influence.The intensification of the proxy games with Saudi Arabia have increased the insecurity of GCC states.Internationally too,the USA’s tough stance under President Trump and the return of the economic sanctions regime against Iran has raised regional temperatures,making it even harder for Iran and the GCC to improve their relations.We argue that to understand the proxy wars between Iran and Saudi Arabia in particular,a more nuanced approach is needed that goes beyond religious strife and rivalry.展开更多
基金supported by the National Natural Science Foundation of China(61301011)the Fundamental Research Funds for the Central Universities(HIT.NSRIF.2012010)+1 种基金the China Postdoctoral Science Foundation(2013M540279)the Heilongjiang Postdoctoral Financial Assistance(LBH-Z11157)
文摘An improved particle swarm algorithm based on the D-Tent chaotic model is put forward aiming at the standard particle swarm algorithm. The convergence rate of the late of proposed algorithm is improved by revising the inertia weight of global optimal particles and the introduction of D-Tent chaotic sequence. Through the test of typical function and the autotuning test of proportionalintegral-derivative （PID） parameter, finally a simulation is made to the servo control system of a permanent magnet synchronous motor （PMSM） under double-loop control of rotating speed and current by utilizing the chaotic particle swarm algorithm. Studies show that the proposed algorithm can reduce the iterative times and improve the convergence rate under the condition that the global optimal solution can be got.
基金supported by the Key Research and Development Program of Henan Province (No.241111222900)Natural Science Foundation of Henan (No.242300421716)+2 种基金Key Science and Technology Program of Henan Province (Nos.242102220044 and 242102210034)National Natural Science Foundation of China (No.62103379)Maker Space Incubation Project (No.2023ZCKJ102).
文摘Existing solutions for collaborative trajectory planning using multiple UAVs suffer from issues such as low accuracy,instability,and slow convergence.To address the aforementioned issues,this paper introduces a new method for multiple unmanned aerial vehicle(UAV)3D terrain cooperative trajectory planning based on the cuck0o search golden jackal optimization(CS-GJO)algorithm.A model for single UAV trajectory planning and a model for multi-UAV collaborative trajectory planning have been developed,and the problem of solving the models is restructured into an optimization problem.Building upon the original golden jackal optimization,the use of tent chaotic mapping aids in the generation of the golden jackal's inital population,thereby promoting population diversity.Subsequently,the position update strategy of the cuckoo search algorithm is combined for purpose of update the position information of individual golden jackals,effectively preventing the algorithm from getting stuck in local minima.Finally,the corresponding nonlinear control parameter were developed.The new parameters expedite the decrease in the convergence factor during the pre-exploration stage,resulting in an improved overall search speed of the algorithm.Moreover,they attenuate the decrease in the convergence factor during the post-exploration stage,thereby enhancing the algorithm's global search.The experimental results demonstrate that the CS-GJO algorithm efficiently and accurately accomplishes multi-UAV cooperative trajectory planning in a 3D environment.Compared with other comparative algorithms,the CS-GJO algorithm also has better stability,higher optimization accuracy,and faster convergence speed.
文摘Common perceptions of recent tensions between Iran and the GCC states are couched in terms of a longstanding and historically rooted Shia-Sunni conflict between two major regional powers:Iran and Saudi Arabia.This paper argues that this perspective is simplistic since it ignores the major political drivers of the conflict at regional and international levels.From the perspective of the Regional Security Complex(RSC),the Persian Gulf region has been a typical security sub-complex since the 1970s.After the Iran-Iraq war,Iran adopted a detente policy towards the GCC states taking advantage of a domestic consensus to improve relations with her neighbouring states.The drive gained momentum after the arrival in office of President Hassan Rouhani in 2013.However,his GCC policy has faced multiple challenges.The GCC countries have increasingly been suspicious and critical of Iran’s growing strength and regional influence.The intensification of the proxy games with Saudi Arabia have increased the insecurity of GCC states.Internationally too,the USA’s tough stance under President Trump and the return of the economic sanctions regime against Iran has raised regional temperatures,making it even harder for Iran and the GCC to improve their relations.We argue that to understand the proxy wars between Iran and Saudi Arabia in particular,a more nuanced approach is needed that goes beyond religious strife and rivalry.
