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首页> 外文期刊>American journal of applied sciences >Tuning of a Proportional-Integral-Derivative Controller using Multi-Objective Non Dominated Sorting Particle Swarm Optimization Applied to pH Control in Continuous Stirred Tank Reactor
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Tuning of a Proportional-Integral-Derivative Controller using Multi-Objective Non Dominated Sorting Particle Swarm Optimization Applied to pH Control in Continuous Stirred Tank Reactor

机译：基于多目标非支配排序粒子群算法的比例积分微分控制器优化，用于连续搅拌釜反应器的pH控制

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Problem statement: Most of the control engineering problems are characterized by several, contradicting, conflicting objectives, which have to be satisfied simultaneously. Two widely used methods for finding the optimal solution to such problems are aggregating to a single criterion and using Pareto-optimal solutions. Approach: Non-Dominated Sorting Particle Swarm Optimization algorithm (NSPSO) based approach is used in the design of multiobjective PID controller to find the constant proportional-integral-derivative gains for a chemical neutralization plant. The plant considered in this study is highly non-linear and with varying time delay, provides a challenging test bed for nonlinear control problems. Results: Experimental results confirm that a multi-objective, Paretobased GA search gives a better performance than a single objective GA. Conclusion: Finally, the results for single objective and multiobjective optimization using NSPSO for the neutralization plant are compared. Gain scheduled PID controllers are designed from Pareto front obtained with NSPSO which exhibit good disturbance rejection capability.
机译：问题陈述：大多数控制工程问题的特点是有几个相互矛盾的目标，这些目标必须同时满足。为找到此类问题的最佳解决方案而广泛使用的两种方法是将其汇总为一个准则，并使用帕累托最优解。方法：在多目标PID控制器的设计中，使用基于非支配排序粒子群优化算法（NSPSO）的方法来查找化学中和厂的恒定比例-积分-微分增益。本研究中考虑的工厂是高度非线性的，并且具有变化的时间延迟，为非线性控制问题提供了具有挑战性的测试平台。结果：实验结果证实，基于多目标Pareto的GA搜索比单一目标GA的性能更好。结论：最后，比较了使用NSPSO对中和厂进行单目标和多目标优化的结果。增益调度的PID控制器是从Pareto前端使用NSPSO设计的，具有良好的抗干扰能力。

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