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

机译:基于遗传算法和模拟退火算法的时滞系统PID控制器的优化设计。

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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:在本文中,针对使用各种软计算算法的时滞系统,提出了PID控制器的优化设计。时延系统存在于一些实际应用中,而时延通常是由传感器感测参数所花费的时间,通信时延等引起的。因此,此类特性会导致系统不稳定并难以控制系统。经典的控制理论方法无法设计稳定的控制器延时系统。因此,为解决这一问题,本文将PID控制器的设计作为一个优化问题,并采用遗传算法和模拟退火算法进行求解。根据获得的结果,设计的控制器可提供稳定的响应。

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