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...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。展开更多
Livelocks, like deadlocks, can result in serious results in running process of flexible manufacturing systems(FMSs). Current deadlock control policies(DCPs) based on mixed integer programming(MIP) cannot detect siphon...Livelocks, like deadlocks, can result in serious results in running process of flexible manufacturing systems(FMSs). Current deadlock control policies(DCPs) based on mixed integer programming(MIP) cannot detect siphons that cause and cope with livelocks in Petri nets. This study proposes a revised mixed integer programming(RMIP) method to directly solve the new smart siphons(NSSs) associated with livelocks in a system of sequential systems with shared resources(S^4 R), a typical subclass of generalized Petri net models. Accordingly,the solved NSSs are max'-controlled by adding the corresponding control places(CPs). As a result, an original S^4 R system with livelocks can be converted into the live controlled Petri net system. The related theoretical analysis and an example are given to demonstrate the proposed RMIP and the corresponding control algorithm(CA).展开更多
文摘由于机型体积小,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。
基金the National Natural Science Foundation of China(No.61364004)the Chinese Visiting Scholars to Study Overseas Program supported by China Scholarship Council Foundation(No.[2014]5049,201408625045)+1 种基金the Doctoral Research Funds of Lanzhou University of Technology(No.04-237)the Alumni Foundation of Civil Engineering 77,Lanzhou University of Technology(No.TM-QK-1301)
文摘Livelocks, like deadlocks, can result in serious results in running process of flexible manufacturing systems(FMSs). Current deadlock control policies(DCPs) based on mixed integer programming(MIP) cannot detect siphons that cause and cope with livelocks in Petri nets. This study proposes a revised mixed integer programming(RMIP) method to directly solve the new smart siphons(NSSs) associated with livelocks in a system of sequential systems with shared resources(S^4 R), a typical subclass of generalized Petri net models. Accordingly,the solved NSSs are max'-controlled by adding the corresponding control places(CPs). As a result, an original S^4 R system with livelocks can be converted into the live controlled Petri net system. The related theoretical analysis and an example are given to demonstrate the proposed RMIP and the corresponding control algorithm(CA).
