CUCKOO OPTIMIZATION ALGORITHM BASED DESIGN FOR LOW-SPEED LINEAR INDUCTION MOTOR
Abstract. In these years, linear induction machines (LIMs) are widely used in rapid transportation applications and these machines achieve thrust directly without gear device, link or axial mechanism system. Furthermore LIMs have numerous other benefits such as not complex body and easy repairing. Unfortunately LMIs have big disadvantage: not good efficiency and weak power factor. These disadvantages cause high energy loss and a rise in input current value, and occupy transmission line capacity. In this research article, a multiobjective optimization system based on cuckoo optimization algorithm (COA) to enhance both efficiency and power factor is introduced, concurrently. The suggested intelligent system is established on capability of nature-based optimization algorithms in selecting the optimal solution. One benchmark and standard example is applied to show the operation of the design method and optimization system. The advantage features of the COA is due to its capability to concurrently refine a local search, as searching globally solution in search space. Furthermore, computer simulation results demonstrate that proposed method have a low dependency on oscillation of the variables. Also, the applied optimization technique was very speedy, requiring a low time to discover the optimum result in search space.
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