This study aims to propose technique for reducing overall design cost of traction motor for two-post lift (2PL) application, by altering the geometry of the motor. This process is efficiently fit for improving the overall performance of the motor, by diminishing the unwanted cogging torque and ripple torque.
This work presents a mutualism-based novel metaheuristic algorithm for solving real-world motor design optimization problem. To simplify the formulation of complex problem of motor design, surrogate modeling technique (SRT) is implemented. The SRT helps for obtaining the mathematical modeling of output response in terms of input design parameters.
The analysis process helps in finding out the optimal design parameters of motor model, at which the motor has improved performance and geometry of motor has reduced cost.
The proposed study presents a panoramic view of solving motor-model design (MMD) problem from scratch design to reach out to optimized design, using the metaheuristic algorithm. The study has the limitations of inclusiveness of the electrical constraints due to 2PL application in designing the problem.
The new surface inset type permanent magnet synchronous motor model geometry can be used to further analyze the dynamic behavior as well as vibration analysis impact over the 2PL performance.
The originality of this study lies in the authorized optimization algorithm. Also, the implementation of proposed algorithm is to solve complex MMD problem, which efficiently explores as well as exploits the design parameters under a specified range.
