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Nonlinear Double Control Strategy Research with Fuzzy Internal Model Control and PID Control Based on Fuzzy Modeling

机译:基于模糊建模的模糊内模控制和PID控制的非线性双控制策略研究

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Considering the difficulty of getting accurate forward and inverse models of object in the majority of practical plants with IMC, A modeling technique based on C-R fuzzy step model for nonlinear systems is introduced. On that basis, nonlinear fuzzy internal model control (FIMC) design based on C-R fuzzy step model is studied. Because there is the model mismatch problem between the identified forward and inverse models of the plant based on the input-output data of plant, it will make the system controllable quality lessened in the control system based on C-R fuzzy step Model. To improve the performance of the control system, PID control is connected parallel to the fuzzy internal model control structure, then the double control strategy with nonlinear fuzzy internal model control and PID control based on C-R fuzzy step model (CRFIMC-PID) is proposed. The simulation results show that the proposed control strategy is effective, feasible, and has good control performance.
机译:考虑到在大多数实际工厂中使用IMC很难获得精确的对象正反模型,提出了一种基于C-R模糊步长模型的非线性系统建模技术。在此基础上,研究了基于C-R模糊阶跃模型的非线性模糊内模控制(FIMC)设计。由于基于工厂的输入输出数据在确定的工厂正向和反向模型之间存在模型不匹配的问题,这会使基于C-R模糊步长模型的控制系统的系统可控质量降低。为了提高控制系统的性能,将PID控制与模糊内模控制结构并联,然后提出了基于C-R模糊阶跃模型(CRFIMC-PID)的非线性模糊内模控制和PID控制的双重控制策略。仿真结果表明,所提出的控制策略是有效,可行的,并且具有良好的控制性能。

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