In the optimal design of electromagnetic devices,the traditional optimization algorithm is inefficient,low accuracy and more calculation time.Especially,most of the optimization variables and objectives are nonlinear and many local optimal,the convergence speed and accuracy of traditional optimization are difficult to meet the requirements.On the other hand,for the existed optimal design,the global optimization of the objective function is often taken as the target.However,in practice,there are always inevitable uncertainties,such as environmental noise,manufacturing process and so on.Therefore,in the case of uncertain disturbances,fast robust optimal design has become a new hot research direction of the optimization of electromagnetic devices at home and abroad.This thesis proposes a fast robust optimal design based on high precision Kriging model and the main work is given as follows.Firstly,the principle of Kriging model is introduced.Based on this,a novel high-precision Kriging model is improved,and its accuracy is verified.Secondly,in the view of the low optimal efficiency and considering the actual interference,this thesis proposes a fast robust optimal design based on high-precision Kriging model to optimize the anti-interference optimal design of electromagnetic equipment.The Kriging model is improved to increase the original predicted accuracy.Furthermore,the intelligent selection of sampling points and adaptive adding point criterion are proposed to give the more predicted accuracy of Kriging model.In order to solve the practical disturbance problem,the principle of robust optimal design and the common methods of robust optimal design are deeply analyzed,probabilistic method and non probabilistic method,and the their optimal analysis is carried out.Finally,the program of the proposed algorithm is made by the MATLAB platform,and several analytical test functions are used to verify the proposed algorithm combining the highprecision Kriging model and robust algorithm under different disturbances.Meanwhile,it is applied to the optimal design of an interior permanent magnet motor,the aim to combine the optimization theory with the practice. |