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Hardware Implementation of Evolutionary Algorithm Assisted Digital PID Controllers for DC-DC Converters

机译:DC-DC转换器的进化算法辅助数字PID控制器的硬件实现

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Tuning PID controller parameters using Evolutionary algorithm for an asynchronous Buck converter is presented in this paper. PID controller is one of the solutions for controlling a Buck converter during transient conditions. There are straight forward ways for calculating the parameters for the PID controller in the literature and evolutionary algorithm based approach with a proper fitness function gives superior performance when compared to other methods. Ziegler Nicholas method, Hurwitz polynomial method and Genetic Algorithm based method are compared. It is found that Genetic Algorithm based method yields better result. The hardware implementation of Genetic Algorithm assisted PID controller with low cost is desired and such an implementation is taken in this paper. A low cost microcontroller with built-in PWM modules is implemented and the performance is compared with simulations.
机译:本文提出了一种基于Evolutionary算法的异步Buck变换器的PID控制器参数整定方法。 PID控制器是在瞬态条件下控制Buck转换器的解决方案之一。文献中有直接计算PID控制器参数的方法,与其他方法相比,具有适当适应性的基于进化算法的方法具有出色的性能。比较了Ziegler Nicholas方法,Hurwitz多项式方法和基于遗传算法的方法。发现基于遗传算法的方法效果更好。需要低成本的遗传算法辅助PID控制器的硬件实现,本文采用这种实现。实现了带有内置PWM模块的低成本微控制器,并将其性能与仿真进行了比较。

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