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Optimal design of PID controllers for time delay systems using genetic algorithm and simulated annealing

机译:使用遗传算法和模拟退火的时间延迟系统PID控制器的最佳设计

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In this paper, optimal design of PID controllers has been proposed for time delay systems using various soft computing algorithms. Time delay systems exist in several real world applications, and the delay is generally caused by the time taken by the sensor to sense the parameter, communication delay etc. Hence such characteristics lead to instabilities and make it difficult to control the system. Classical control theory methods fail for designing stable controller time delay systems. So, in order to address this problem, in this paper, the design of PID controller has been posed as an optimization problem and solved using genetic algorithm and simulated annealing. As per the obtained results, the designed controllers offer a stable response.
机译:本文已经提出了使用各种软计算算法的时间延迟系统的PID控制器的最佳设计。时间延迟系统存在于几个真实世界中,并且延迟通常是由传感器感测参数,通信延迟等所花费的延迟引起的。因此,这种特性导致不稳定性并使难以控制系统。古典控制理论方法失败设计稳定的控制器时间延迟系统。因此,为了解决这个问题,在本文中,PID控制器的设计已被作为优化问题,并使用遗传算法和模拟退火解决。根据所获得的结果,设计的控制器提供稳定的响应。

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