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Tuning of Analog Controllers for Superheated Steam Temperature System using Simulated Annealing Algorithm

机译:基于模拟退火算法的过热蒸汽温度系统模拟控制器的整定

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This paper explains the tuning of Proportional Integral controller (PI) for Superheated SteamTemperature System using Simulated Annealing Algorithm (SA) based on Integral Square Error (ISE) as the objective function. The analog controllers have a wide range of applications in Industrial Automation and Control. The controller parameters need to be tuned well to achieve desired response. The fifth order model of Superheated SteamTemperature System is taken for study. Most of the tuning algorithms are based on First Order plusTime Delay models which is given by G(s) = Ke ~(-τs)/(Ts+1). If the plant is not approximated well to FOPTD model, good controllers may not be designed using existing algorithms. SA is a numerical optimization technique based on the principles of thermodynamics. To tune the PI controller using SA, it does not require any FOPTD model. Hence the analog PI controller is tuned using SA algorithm for superheated steam temperature system and the Integral Square Error is compared with the PI controller tuned using Genetic Algorithm (GA) for Servo and Regulatory problem.
机译:本文以基于积分平方误差(ISE)为目标函数的模拟退火算法(SA)来说明过热蒸汽温度系统的比例积分控制器(PI)的调节。模拟量控制器在工业自动化和控制中具有广泛的应用。控制器参数需要很好地调整以获得所需的响应。研究了过热蒸汽温度系统的五阶模型。大多数调整算法基于一阶加时间延迟模型,该模型由G(s)= Ke〜(-τs)/(Ts + 1)给出。如果工厂不能很好地近似于FOPTD模型,则可能无法使用现有算法来设计好的控制器。 SA是一种基于热力学原理的数值优化技术。要使用SA调整PI控制器,它不需要任何FOPTD模型。因此,对于过热蒸汽温度系统,使用SA算法对模拟PI控制器进行了调整,并将积分平方误差与使用遗传算法(GA)对伺服和调节问题进行了调整的PI控制器进行了比较。

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