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首页> 外文期刊>American journal of applied sciences >Optimum Setting of Controller using Soft Computing Techniques for a Chemical System
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Optimum Setting of Controller using Soft Computing Techniques for a Chemical System

机译：使用软计算技术的化学系统控制器的最佳设置

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Problem statement: The aim of this study is to present an intelligent tuning technique for PID controller that are simple and still result in good closed loop behavior. The idea is to start with a tuned conventional PID controller, replace it with an equivalent intelligent controllers like Fuzzy, ANN, Genetic and PSO techniques implies fine tuned nonlinear PID controller which is most suitable for nonlinear process like Continuous stirred tank reactor. The performance of various optimization techniques and intelligent techniques are compared. Approach: In this study we present soft computing techniques to design and tune the PID controller. The objective wss tominimise the steady state error and to obtain the optimum response. Results: The comparisons amoung the Conventional PID, Fuzzy Sliding PID, Simulated Anneling PID and PSO tuned PID controllers PSO PID implies better result for the nonlinear chemical process. Conclusion: With the nonlinear model of CSTR process the PSO tuned PID controller implies the optimum response for both setpoint and load variations.
机译：问题陈述：这项研究的目的是提出一种PID控制器的智能调节技术，该技术很简单，并且仍具有良好的闭环性能。这个想法是从调整后的常规PID控制器开始，用等效的智能控制器（例如Fuzzy，ANN，遗传和PSO技术）代替，这意味着微调的非线性PID控制器最适合于连续搅拌釜反应器等非线性过程。比较了各种优化技术和智能技术的性能。方法：在这项研究中，我们提出了软计算技术来设计和调整PID控制器。目标wss最小化稳态误差并获得最佳响应。结果：常规PID，模糊滑移PID，模拟退火PID和PSO调整PID控制器之间的比较PSO PID对非线性化学过程而言意味着更好的结果。结论：对于CSTR过程的非线性模型，PSO调整的PID控制器暗示了设定值和负载变化的最佳响应。

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