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Design and development of a microcontroller based neuro fuzzy temperature controller

机译:基于微控制器的神经模糊温度控制器的设计与开发

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The temperature control in plastic extrusion system is a crucial process, which is an important factor to produce high quality plastic products. The plastic extrusion model is a first order non linear system has multiple stages coupled with each other and comprises a long delay time, large time constant and undesirable overshoot. To acquire a solution to the problem of difficulty to control temperature in process industries, a new adaptive control strategy, embedded based neuro fuzzy controller is proposed. The software incorporates Matlab simulink and real time control algorithm has been developed using PIC 16F877A microcontroller. The proposed method hardware test results are compared with that of the simulated results. The results obtained conclude that the use of proposed controller improve the process in terms of time domain specification, set point tracking and rejection of disturbances more effectively and rapidly with optimum stability for the temperature control in plastic extrusion system.
机译:塑料挤出系统中的温度控制是至关重要的过程,这是生产高质量塑料产品的重要因素。塑性挤压模型是一阶非线性系统,具有相互耦合的多个阶段,并且具有较长的延迟时间,较大的时间常数和不希望的过冲。为了解决过程工业温度难以控制的问题,提出了一种新的基于嵌入式神经模糊控制器的自适应控制策略。该软件集成了Matlab simulink,并已使用PIC 16F877A微控制器开发了实时控制算法。将该方法的硬件测试结果与仿真结果进行了比较。获得的结果表明,使用所建议的控制器可以在时域规范,设定点跟踪和干扰消除方面更有效,更快速地改善过程,并具有最佳稳定性,可实现塑料挤出系统的温度控制。

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