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A GODFIP Control Algorithm for an IRC Grain Dryer

机译：IRC谷物干燥机的GODFIP控制算法

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摘要

Drying is an energy intensive and complex nonlinear process and it is difficult to control and make the traditional control meet the challenges. In order to effectively control the output grain moisture content of a combined infrared radiation and convection (IRC) grain dryer, taking into account the superiority of the fuzzy control method in dealing with complex systems, in this article, a genetic optimization dual fuzzy immune PID (Proportional-Integral-Derivative) (GODFIP) controller was proposed from the aspects of energy savings, stability, accuracy, and rapidity. The structure of the GODFIP controller consists of two fuzzy controllers, a PID controller, an immune algorithm, and a genetic optimization algorithm. In addition, a NARX model which can give relatively good predictive output information of the IRC dryer was established and used to represent the actual drying process to verify the control performance in the control simulation and anti-interference tests. The effectiveness of this controller was demonstrated by computer simulations, and the anti-interference performance comparative study with the other controllers further confirmed the superiority of the proposed grain drying controller which has the least value of performance objective function, the shortest rising time, and the best anti-interference ability compared to the other three compared controllers.
机译：干燥是一个耗能大且复杂的非线性过程，难以控制并使传统控制迎接挑战。考虑到模糊控制方法在处理复杂系统中的优越性，为了有效地控制红外辐射和对流联合干燥机的输出谷物水分含量，本文采用遗传优化双模糊免疫PID从节能，稳定性，准确性和快速性方面提出了（比例积分微分）（GODFIP）控制器。 GODFIP控制器的结构由两个模糊控制器，PID控制器，免疫算法和遗传优化算法组成。此外，建立了可以提供IRC干燥机相对较好的预测输出信息的NARX模型，并将其用于表示实际干燥过程，以在控制仿真和抗干扰测试中验证控制性能。通过计算机仿真证明了该控制器的有效性，与其他控制器的抗干扰性能比较研究进一步证实了所提出的谷物干燥控制器的优越性，该谷物干燥控制器的性能目标函数值最小，上升时间最短，并且具有与其他三个比较控制器相比，具有最佳的抗干扰能力。

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  • 来源
    《Mathematical Problems in Engineering》 |2017年第9期|1406292.1-1406292.14|共14页
  • 作者

    Dai Aini; Zhou Xiaoguang; Liu Xiangdong;

  • 作者单位

    Beijing Univ Posts & Telecommun, Sch Automat, Beijing 100876, Peoples R China;

    Beijing Univ Posts & Telecommun, Sch Automat, Beijing 100876, Peoples R China;

    China Agr Univ, Coll Engn, Beijing 100083, Peoples R China;

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