Neuro-fuzzy control of exothermic chemical reactor
Neuro-fuzzy control of exothermic chemical reactor
复制标题
放热化学反应器的神经模糊控制
DOI：
10.1109/pc.2013.6581403
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
J. Dvoran
中科院分区：
文献类型：
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作者：
Jana Kmeťová;A. Vasickaninova;J. Dvoran
研究了非线性被控系统的神经模糊控制器设计问题。所设计的神经模糊控制器是Takagi-Sugeno型的，对于每个考虑的输入具有两个高斯隶属函数。基准系统代表具有环氧丙烷水解的一级放热化学反应的连续搅拌釜式反应器（CSTR）。反应器的处理受到各种不确定性的影响，例如测量噪声、变化的参数、干扰，并且常规控制可能不会导致令人满意的控制性能。控制性能进行了研究，通过仿真控制。将所设计的神经模糊控制器与经典PI控制器所产生的控制轨迹进行了比较。仿真结果表明，改进后的控制器在设定值跟踪和扰动抑制方面都有很好的效果。
The paper deals with the neuro-fuzzy controller design for nonlinear controlled system. The designed neuro-fuzzy controller was Takagi-Sugeno type with two Gaussian membership functions for each considered input. The benchmark system represents Continuous Stirred Tank Reactor (CSTR) with first order exothermic chemical reaction of propylene oxide hydrolyses. Processing of the reactor is influenced by various uncertainties as e.g. measurement noise, varying parameters, disturbances, and conventional control may not lead to satisfying control performance. The control performance was investigated using simulation of control. The control trajectory ensured by the designed neuro-fuzzy controller was compare with the ones generated by the classical PI controller. The simulation results confirmed improved the control performance of the both, the set-point tracking and the disturbance rejection.