• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>American journal of applied sciences >Thermal Control of a Greenhouse by Variation in Ventilation Rate using a Fuzzy Parallel Distributed Compensation Controller with an RST Regulator in Each Rule
【24h】

Thermal Control of a Greenhouse by Variation in Ventilation Rate using a Fuzzy Parallel Distributed Compensation Controller with an RST Regulator in Each Rule

机译：在每个规则中使用带有RST调节器的模糊并行分布补偿控制器，通过通风率的变化对温室进行热控制

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Problem statement: The greenhouse has uncontrollable inputs that affect its climate, which arises the difficulty to regulate its inside temperature. The solution can be found using a multi-system approach like the Takagi-Sugeno System from which a design of a Parallel Distributed Compensation (PDC) controller is performed. However, a stability problem arises and was negotiatesd in general based on a Lyapunov criterion. The latter isn't appropriate in our case because of the great number of rules describing the greenhouse. Approach: An alternative solution is proposed using a PDC controller with a local RST regulator in each rule. The synthesis of each one is determined using pole placement avoiding the cross-coupling (that may cause instability) between the local regulators and the sub-models related to differents rules. Results: The proposed fuzzy controller was applied to an experimental greenhouse and was able to lead the inside temperature to the desired value despite the externals perturbations. Conclusion: The presented study offer a simple solution to the stability problem when using PDC controller and so can be mush more implementable than the others stabilization methods presented in the literature. In the agriculture field, it can replace the on-off control action that is widely used in the greenhouses because of the processus complexity.
机译：问题陈述：温室中有不可控制的投入物会影响其气候，从而难以调节其内部温度。可以使用多系统方法（例如Takagi-Sugeno系统）找到该解决方案，从中可以执行并行分布式补偿（PDC）控制器的设计。但是，出现了稳定性问题，并且通常根据Lyapunov标准进行协商。后者不适用于我们的情况，因为有大量描述温室的规则。方法：提出了另一种解决方案，即在每个规则中使用带有本地RST调节器的PDC控制器。使用极点布置确定每个模型的综合，避免局部调节器和与差异规则相关的子模型之间的交叉耦合（可能导致不稳定）。结果：所提出的模糊控制器被应用于实验温室，尽管外界有扰动，却能够将内部温度引导至所需值。结论：提出的研究为使用PDC控制器时的稳定性问题提供了一种简单的解决方案，因此与文献中提出的其他稳定方法相比，可以实现更高的可实现性。在农业领域，由于过程复杂，它可以代替在温室中广泛使用的开关控制动作。

著录项

  • 来源
    《American journal of applied sciences》 |2012年第7期|p.979-987|共9页
  • 作者

    Elyes Feki; Amine Chouchaine; Abdelkader Mami;

  • 作者单位

    Department of Electric Engineering, Laboratory of Analysis Conception and Control of Systems, National School of Engineering of Tunis, Tunisia;

    Department of Electric Engineering, Laboratory of Analysis Conception and Control of Systems, National School of Engineering of Tunis, Tunisia;

    Department of Electric Engineering, Laboratory of Analysis Conception and Control of Systems, National School of Engineering of Tunis, Tunisia;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    TS fuzzy models; PDC controller; greenhouse; lyapunov function;

    机译：TS模糊模型;PDC控制器;温室;lyapunov函数;

相似文献

  • 外文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号