The estimated parameters accuracy of poly-phase induction motors is crucial for effective performance prediction and/or control in various manufacturing applications.This study investigates hybrid algorithm between pa...The estimated parameters accuracy of poly-phase induction motors is crucial for effective performance prediction and/or control in various manufacturing applications.This study investigates hybrid algorithm between particle swarm optimization and Jaya optimization algorithms for finding the optimal parameters estimation of poly-phase induction motors.It is carried out using the manufacturer’s operation characteristics on two poly-phase induction motors.Numerical results show the capability of the proposed hybrid optimization algorithm.The proposed algorithm has competitive performance compared with conventional algorithms as well as with differ-ential evolution and genetic algorithms.Experimental verifications are carried out on three-phase and six-phase induction motors.Also,it emulates the closeness between experimental and estimated parameters with fast con-vergence compared to other algorithms.Also,the results reflect the high robustness of the proposed algorithm compared with other algorithms for varied iteration numbers,population size and convergence.展开更多
The principle of uniform DFT filter bank is presented. Exploiting poly-phase structure, radar jamming system samples the intercepted wideband radar signals through analysis filter bank by different channels and linear...The principle of uniform DFT filter bank is presented. Exploiting poly-phase structure, radar jamming system samples the intercepted wideband radar signals through analysis filter bank by different channels and linearly modulates the intercepted radar signal according to the theory of signal and system, then synthesizes the jamming signal through the synthesis filter hank. The method merely requires lower sample frequency, reduces the computational complexity and the data quantity to be processed. The un-ideal filter＇s influence to the result of signals processing is analyzed by simulating the match filter in radar jamming system.展开更多
文摘The estimated parameters accuracy of poly-phase induction motors is crucial for effective performance prediction and/or control in various manufacturing applications.This study investigates hybrid algorithm between particle swarm optimization and Jaya optimization algorithms for finding the optimal parameters estimation of poly-phase induction motors.It is carried out using the manufacturer’s operation characteristics on two poly-phase induction motors.Numerical results show the capability of the proposed hybrid optimization algorithm.The proposed algorithm has competitive performance compared with conventional algorithms as well as with differ-ential evolution and genetic algorithms.Experimental verifications are carried out on three-phase and six-phase induction motors.Also,it emulates the closeness between experimental and estimated parameters with fast con-vergence compared to other algorithms.Also,the results reflect the high robustness of the proposed algorithm compared with other algorithms for varied iteration numbers,population size and convergence.
文摘The principle of uniform DFT filter bank is presented. Exploiting poly-phase structure, radar jamming system samples the intercepted wideband radar signals through analysis filter bank by different channels and linearly modulates the intercepted radar signal according to the theory of signal and system, then synthesizes the jamming signal through the synthesis filter hank. The method merely requires lower sample frequency, reduces the computational complexity and the data quantity to be processed. The un-ideal filter＇s influence to the result of signals processing is analyzed by simulating the match filter in radar jamming system.
