Analysis and Parametric Optimization by Evolutionary Methods of a Turn of a Meander Microstrip Line, Taking into Account Temperature
The results of analysis and optimization by evolutionary methods of a turn of a meander microstrip line are presented, taking into account the influence of ambient temperature in the range from minus 50 to 150 °C. A simple temperature model of a linear change in the turn parameters is used. As a result of the analysis, it was revealed that a change in temperature over the entire range leads to a decrease in the linear delays of the even and odd coil modes to 3.23 and 2.42%, respectively, and a decrease in the maximum amplitude of the pulse signal at the line output to 0.17%, but an increase the geometric mean impedance of the even and odd line modes up to 3%. The possibility of parametric one- and two-criteria optimization of the coil cross-section, taking into account the influence of temperature, is demonstrated using two optimization methods: genetic algorithms and evolutionary strategies. A good agreement between the optimization results by two methods was revealed, but with close sets of optimal parameters, the time of optimization by evolutionary strategies turned out to be 7 times less.