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A second generation current conveyor based PID controller optimized using a crossover improved genetic algorithm
Microsystem Technologies ( IF 1.6 ) Pub Date : 2019-11-05 , DOI: 10.1007/s00542-019-04677-9
Vijay Kumar Verma , Rajeev Kumar Ranjan , V. Lekshmi , Ankit Kumar Azad , Bhargav Appasani , Vijay Nath

This article presents a second generation current conveyor (CCII) based PID controller that has been optimally designed using a crossover improved genetic algorithm (CIGA). PID controller is widely adopted in practical industrial applications and the current conveyors are being favored because of their enhanced characteristics. Thus, designing a PID controller using the current conveyors would augment its performance. Another unique aspect of the reported research work is the utilization of a crossover improved genetic algorithm for finding the controller’s transfer function. The controller has been optimally designed taking into consideration the unit step response characteristics. Subsequently, AD844 IC was used for practical implementation of the controller and the experimental observations are reported, which are found to be in good agreement with simulation as well as theoretical results.



中文翻译:

使用交叉改进遗传算法优化的基于第二代电流传送器的PID控制器

本文介绍了基于第二代电流传送器(CCII)的PID控制器,该控制器已使用交叉改进的遗传算法(CIGA)进行了优化设计。PID控制器在实际工业应用中被广泛采用,并且由于其性能增强,目前的输送机受到青睐。因此,使用当前传送带设计PID控制器将提高其性能。已报道的研究工作的另一个独特方面是利用交叉改进的遗传算法来查找控制器的传递函数。控制器的优化设计考虑了单位阶跃响应特性。随后,AD844 IC被用于控制器的实际实现,并报告了实验观察结果,

更新日期:2019-11-05
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