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首页> 外文期刊>International Journal of Recent Contributions from Engineering, Science & IT >Genetic Algorithm Optimisation of PID Controllers for a Multivariable Process
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Genetic Algorithm Optimisation of PID Controllers for a Multivariable Process

机译：多变量PID控制器的遗传算法优化

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This project is about the design of PID controllers and the improvement of outputs in multivariable processes. The optimisation of PID controller for the Shell oil process is presented in this paper, using Genetic Algorithms (GAs). Genetic Algorithms (GAs) are used to automatically tune PID controllers according to given specifications. They use an objective function, which is specially formulated and measures the performance of controller in terms of time-domain bounds on the responses of closed-loop process.A specific objective function is suggested that allows the designer for a single-input, single-output (SISO) process to explicitly specify the process performance specifications associated with the given problem in terms of time-domain bounds, then experimentally evaluate the closed-loop responses. This is investigated using a simple two-term parametric PID controller tuning problem. The results are then analysed and compared with those obtained using a number of popular conventional controller tuning methods. The intention is to demonstrate that the proposed objective function is inherently capable of accurately quantifying complex performance specifications in the time domain. This is something that cannot normally be employed in conventional controller design or tuning methods.Finally, the recommended objective function will be used to examine the control problems of Multi-Input-Multi-Output (MIMO) processes, and the results will be presented in order to determine the efficiency of the suggested control system.
机译：该项目涉及PID控制器的设计以及多变量过程中输出的改进。本文利用遗传算法（GA）对壳牌石油工艺中的PID控制器进行了优化。遗传算法（GA）用于根据给定的规范自动调整PID控制器。他们使用专门设计的目标函数，并根据闭环过程响应的时域界限来衡量控制器的性能。建议使用特定的目标函数，使设计人员能够进行单输入，单输入，输出（SISO）过程，以时域界限明确指定与给定问题相关的过程性能规格，然后通过实验评估闭环响应。使用简单的两项参数PID PID控制器调整问题对此进行了研究。然后分析结果并将其与使用许多流行的常规控制器调整方法获得的结果进行比较。目的是证明所提出的目标函数固有地能够在时域中准确地量化复杂的性能规格。这是常规控制器设计或调整方法通常无法采用的方法。最后，推荐的目标函数将用于检查多输入多输出（MIMO）过程的控制问题，并在为了确定建议的控制系统的效率。

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