期刊文献+

风机盘管室温PI~λD~μ控制器基于IACOA的参数整定及其控制性能分析 被引量:2

Numerical Study on Tuning the Parameters of an Indoor Temperature PI~λD~μ Controller for FCU Based on IACOA and its Performance Analysis
下载PDF
导出
摘要 由于机型体积小,安装、操作方便和分散控制等特点,风机盘管(Fan Coil Unit,FCU)空调系统在办公楼、宾馆和公寓等建筑场所得到了广泛应用。然而,其主要设备-FCU具有惯性和较大时间滞后等动态特性,传统控制方式,如整数阶PID方式会导致室温稳态误差和超调量较大,调节时间长等问题。鉴于此,提出FCU的室温分数阶PID(PIλDμ)控制器参数整定新算法及其控制系统构建的设计思路。首先,结合空调工艺的相关要求和分数阶控制技术,分别对FCU作用下的室内温度对象、室温测量变送器、FCU的送风单元、冷却/加热单元和室温PIλDμ控制器(Indoor Temperature Fractional Order Proportional Integral Derivative Controller,IT-FOPIDC)进行建模。其次,基于改进的蚁群优化算法(Improved Ant Colony Optimization Algorithm,IACOA)对该IT-FOPIDC的5个控制参数进行整定,获取其最佳值。最后,借助Matlab工具,对FCU作用下的空调房间室温PIλDμ调节系统进行组态和数值模拟其控制效果。结果表明,该室温PIλDμ调节系统在理论上是可行的,且室温控制效果明显优于Ziegler-Nichols(Z-N)整定法和ACOA算法的室温整数阶PID控制系统。 The air conditioning system adopting fan coil units(FCUs)has been widely used in the buildings including offices,hotels and apartments because of the characteristics of its compact size,easy installation,convenient operation and decentralized control,etc.However,the main equipment-FCU has the dynamic characteristics of inertia and large time delay.So the traditional control methods,such as the integer order PID manner can lead to the problems of larger steady state error and overshoot of indoor temperature and the longer adjustment time,etc.In view of this,this paper puts forward the design ideas of a new algorithm for tuning parameters of an indoor temperature fractional order proportional integral derivative controller(IT-FOPIDC)and the corresponding control system construction for FCU in an air-conditioning room.First,combining the relevant requirements of air-conditioning process and fractional order control technology,the indoor temperature plant,indoor temperature measuring transmitter,IT-FOPIDC,air supply unit,cooling and heating unit of FCU are modeled,respectively.Secondly,the parameters of this IT-FOPIDC are tuned by a new algorithm,called IACOA,and five optimal values are obtained.Finally,this indoor temperature PIλDμcontrol system is configured and the related control effects are numerically simulated by mans of MATLAB tool.The results show that this indoor temperature PIλDμcontrol system is feasible in theory,and the indoor temperature control effect is more superior to that of the ziegler-nichols(Z-N)tuning method and the ACOA algorithm for the integer order PID control system for the same FCU in an air-conditioning room.
作者 魏先宏 李绍勇 吴宗礼 李海林 Wei Xianhong;Li Shaoyong;Wu Zongli;Li Hailin(School of civil engineering,Lanzhou university of technology,Lanzhou,730050)
出处 《制冷与空调(四川)》 2019年第5期570-576,共7页 Refrigeration and Air Conditioning
基金 甘肃省自然科学基金(编号:1508RJZA109) 兰州理工大学博士研究基金项目(编号:B04-237)兰州理工大学建工七七基金项目(编号:TM-QK-1301)
关键词 空调风机盘管 室温PIλDμ控制器 改进蚁群优化算法 控制器参数整定 数值仿真 Air-conditioning fan coil unit(FCU) indoor temperature PIλDμcontroller(IT-FOPIDC) improved ant colony optimization algorithm(IACOA) tuning parameters of controller numerical simulation
  • 相关文献

参考文献5

二级参考文献23

  • 1Russell K. Negotiation Theory and Strategy [ M ]. New York : Aspen Publishers, 2002 : 12-32.
  • 2Huang S H, Nelson R M. Rule Development and Adjustment Strategy of a Fuzzy Logic Controller for a HVAC System [ J ]. ASHRAE Transaction, 1994, 100 (1) :841-850.
  • 3李玉云,李绍勇,王秋庭.自动控制原理与CAI教程[M].北京:机械工业出版社,2010:255-256.
  • 4李英顺,赵春娜,陆涛.分数阶先进控制系统研究与应用[M].北京:北京师范大学出版社,2012.
  • 5Podlubny I.Fractional-order systems and controllers[J].IEEE Transactions on Automatic Control,1999,44(1):208-214.
  • 6Archana Thosara,Amit Patraa,Souvik Bhattacharyyab.Feedback linearization based control of a variable air volume air conditioning system for cooling applications[J].ISA Transactions,2008,47:339-349.
  • 7Petras I,Dorcak L,Kostial I.Control quality enhancement by fractional order controllers[J].ActaMontanistica Slovaca,1998,3(2):143-148.
  • 8BURSHTEIN D,GANNOT S. Speech enhancement using a mixture-maximum model[J].Speech and Audio Processing IEEE,2002,(06):341-351.doi:10.1109/TSA.2002.803420.
  • 9DING Guohong,HUANG Taiyi,XU Bo. Suppression of additive noise using a power spectral density MMSE estimator[J].Signal Processing Letters IEEE,2004,(06):585-588.
  • 10EZZAIDI H,ROUAT J. Pitch and MFCC dependem GMM models for speaker identification systems[J].Electrical and Computer Engineering,2004,(01):43-46.

共引文献25

同被引文献8

引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部