CN102538150A - Method for controlling multiple air conditioners through variable-parameter intelligent PID linkage - Google Patents
Method for controlling multiple air conditioners through variable-parameter intelligent PID linkage Download PDFInfo
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Abstract
本发明公开了一种变参数智能PID联动控制多台空调机的方法,根据各个区域中的各个传感器的检测数据进行加权平均计算,得到各个区域内温、湿度误差,通过本发明提出的PID参数与设定值的偏差关系式,实时调整PID参数,从而联动调整该区域周围的空调系统运行参数,使输出变量与偏差达到最好的结合,保证系统工况最接近于设定值。消除传统大空间空调系统由于局部负荷波动而产生的冷热对立工况的出现,满足大空间高精度恒温恒湿要求。The invention discloses a method for variable parameter intelligent PID linkage control of multiple air conditioners. Weighted average calculation is performed according to the detection data of each sensor in each area to obtain the temperature and humidity errors in each area. The PID parameters proposed by the invention The deviation relationship with the set value adjusts the PID parameters in real time, so as to jointly adjust the operating parameters of the air conditioning system around the area, so that the output variable and deviation can achieve the best combination, and ensure that the system working condition is closest to the set value. Eliminate the occurrence of cold and hot opposite working conditions caused by local load fluctuations in traditional large-space air-conditioning systems, and meet the requirements of high-precision constant temperature and humidity in large spaces.
Description
技术领域 technical field
本发明属于自动化控制技术领域,具体涉及一种变参数智能PID联动控制多台空调机的控制方法,尤其是对于大空间厂房建筑的高节能性、高稳定性及恒温恒湿高精度的控制方法。The invention belongs to the technical field of automation control, and in particular relates to a control method for variable parameter intelligent PID linkage control of multiple air conditioners, especially a control method for high energy saving, high stability, constant temperature and humidity, and high precision for large-space factory buildings .
背景技术 Background technique
传统大空间一般采用一个空调系统,当局部负荷发生较大波动时,空调系统无法针对局部负荷变化进行调节,造成局部空气参数不满足工艺要求,甚至出现某些区域可能在制冷降温,而邻近的区域可能因旁边的冷空气影响或设备负荷分布的差异造成降温过多而需要加温,形成对立工况。而且目前的空调系统的控制一般以常规PID控制为主,这种控制方式当被控变量的反馈值过大时,会导致输入过多的控制量,导致系统超调,甚至发散,因此在控制动态、大延时性的系统中,常规PID调节具有一定的弊端。在一些空间,如烟厂的卷包车间,其负荷的分布随时间和空间发生变化,而且空气测点反映局部负荷的变化有一定的延迟,属于动态、大延时系统,如果按照常规的PID进行调节,将会使得室内的温湿度满足不了生产要求,造成生产损失。Traditional large spaces generally use an air-conditioning system. When the local load fluctuates greatly, the air-conditioning system cannot adjust to the local load change, resulting in local air parameters that do not meet the process requirements, and even some areas may be cooling down, while the adjacent The area may need to be heated due to the influence of cold air next to it or the difference in equipment load distribution, resulting in an opposing working condition. Moreover, the control of the current air-conditioning system is generally based on conventional PID control. When the feedback value of the controlled variable is too large in this control method, it will cause too much input of the control amount, resulting in system overshoot or even divergence. Therefore, in the control In a dynamic and long-delay system, conventional PID regulation has certain disadvantages. In some spaces, such as the packing workshop of a cigarette factory, the load distribution changes with time and space, and there is a certain delay in reflecting the change of local load at the air measuring point, which belongs to a dynamic and long-delay system. If according to the conventional PID Adjustment will make the indoor temperature and humidity unable to meet the production requirements, resulting in production loss.
发明内容 Contents of the invention
本发明的目的在于针对现有技术的不足,提供一种变参数智能PID联动控制多台空调机的方法,消除传统大空间空调系统由于局部负荷波动而产生的冷热对立工况的出现,满足大空间高精度恒温恒湿要求。The purpose of the present invention is to address the deficiencies of the prior art, to provide a method for variable parameter intelligent PID linkage control of multiple air conditioners, to eliminate the occurrence of cold and hot opposite working conditions caused by local load fluctuations in traditional large space air conditioning systems, and to meet the High-precision constant temperature and humidity requirements in large spaces.
本发明的目的通过以下技术方案来实现。The object of the present invention is achieved through the following technical solutions.
一种变参数智能PID联动控制多台空调机的方法,其特征在于:包括PID参数与设定值的偏差关系式,PID参数可根据空调工况的变化进行实时的调整,使输出变量与偏差达到最好的结合,保证系统工况最接近于设定值。A method for variable-parameter intelligent PID linkage control of multiple air conditioners, characterized in that it includes a deviation relational expression between PID parameters and set values, and the PID parameters can be adjusted in real time according to changes in air-conditioning conditions, so that the output variable and the deviation To achieve the best combination, to ensure that the system operating conditions are closest to the set value.
对于局部区域的空调负荷波动,可通过变参数PID控制方法联动调节该区域周围的空调系统运行参数,使空气射流至该区域时,抵消负荷波动,有效消除对立工况。For air conditioning load fluctuations in local areas, the variable parameter PID control method can be used to jointly adjust the operating parameters of the air conditioning system around the area, so that when the air jet flows to the area, it can offset the load fluctuations and effectively eliminate the opposite working conditions.
具体实施方式 Detailed ways
下面结合附图和实施例对本发明作进一步地详细说明,但附图和实施例并不是对本发明技术方案的限定。The present invention will be described in further detail below in conjunction with the drawings and examples, but the drawings and examples are not intended to limit the technical solution of the present invention.
实施例1Example 1
空间较大建筑的空气调节由多个独立空调系统组成,每个空调系统只负责一定的区域,且每个空调系统可进行单独调节。在每个空调系统所负责区域安置温、湿度传感器,PLC控制器将根据区域中的各个传感器的检测数据进行加权平均计算,得到区域温、湿度误差,对于局部的负荷波动,通过变参数PID调节该区域周围的空调系统运行参数,使空气射流至该区域时,抵消负荷波动,有效消除对立工况。通过对多台空调系统的联动控制,调节不同空调系统的送风参数,使建筑空间的温、湿度达到工艺精度要求。The air conditioning of a building with a large space consists of multiple independent air conditioning systems, each of which is only responsible for a certain area, and each air conditioning system can be adjusted individually. Place temperature and humidity sensors in the area responsible for each air-conditioning system, and the PLC controller will perform weighted average calculations based on the detection data of each sensor in the area to obtain regional temperature and humidity errors. For local load fluctuations, adjust through variable parameters PID The operating parameters of the air conditioning system around this area make the air jet flow to this area to offset the load fluctuation and effectively eliminate the opposite working conditions. Through the linkage control of multiple air-conditioning systems, the air supply parameters of different air-conditioning systems are adjusted to make the temperature and humidity of the building space meet the process precision requirements.
图1为变参数PID调节原理图:Figure 1 is a schematic diagram of variable parameter PID adjustment:
其中,T为采样周期,必须使T足够小,才能保证系统有一定的精度;e(k)是第k次采样时的偏差值;e(k-1)是第(k-1)次采样时的偏差值;k为采样序号;u(k)是第k次采样调节器的输出。Among them, T is the sampling period, and T must be small enough to ensure a certain accuracy of the system; e(k) is the deviation value of the kth sampling; e(k-1) is the (k-1)th sampling The deviation value at time; k is the sampling sequence number; u(k) is the output of the kth sampling regulator.
本发明所采用的变参数PID调节解决方案是:The variable parameter PID adjustment solution that the present invention adopts is:
Kp、Ti和Td可根据空调系统工况的变化进行实时的调整,使输出变量与偏差达到最好的结合,保证系统工况最接近于设定值。PID参数与设定值的偏差关系为:K p , T i and T d can be adjusted in real time according to the change of the working condition of the air conditioning system, so as to achieve the best combination of output variable and deviation, and ensure that the working condition of the system is closest to the set value. The deviation relationship between PID parameters and the set value is:
其中,Kp0、Ki0、Kd0分别为初始比例系数、积分系数和微分系数;e为偏差;Kp1、Ki1、Ki2、Kd1为待定系数,由系统结构确定。根据式(1)~(3)来确定PID参数。Among them, K p0 , K i0 , K d0 are the initial proportional coefficient, integral coefficient and differential coefficient; e is the deviation; K p1 , K i1 , K i2 , K d1 are undetermined coefficients, which are determined by the system structure. According to the formula (1) ~ (3) to determine the PID parameters.
尽管以上对本发明的优选实施例进行了描述,但本发明不限于上述具体实施方式,本领域的普通技术人员在本发明的启示下,在不违背本发明宗旨及权利要求的前提下,可以作出多种类似的表示,这样的变换均落入本发明的保护范围之内。Although the preferred embodiments of the present invention have been described above, the present invention is not limited to the above-mentioned specific implementation, those of ordinary skill in the art can make Various similar representations and such transformations all fall within the protection scope of the present invention.
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
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CN103453625A (en) * | 2013-08-19 | 2013-12-18 | 苏州康华净化系统工程有限公司 | Workshop constant temperature and humidity system and control method thereof |
CN104019526A (en) * | 2014-06-24 | 2014-09-03 | 河海大学常州校区 | Fussily self-adaptive PID temperature and humidity control system and method based on improved PSO (Particle Swarm Optimization) algorithm |
CN105423503A (en) * | 2015-11-07 | 2016-03-23 | 中用环保科技有限公司 | Central air-conditioning energy-saving control method and system based on video human flow density map |
CN106843227A (en) * | 2017-03-09 | 2017-06-13 | 杭州电子科技大学 | A kind of method of the autonomous tracking path planning of intelligent automobile |
CN109269027A (en) * | 2018-06-20 | 2019-01-25 | 广东海悟科技有限公司 | A kind of air conditioner refrigerating control method, system and the device of automatic optimal |
CN115167578A (en) * | 2022-06-22 | 2022-10-11 | 浙江中烟工业有限责任公司 | Dynamic threshold value adjusting method for temperature-changing humidity control interval |
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CN102032640A (en) * | 2009-09-25 | 2011-04-27 | 西安西翼智能科技有限公司 | Fuzzy proportion integration differentiation (PID) control method and device for industrial environment high-precision air conditioner |
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CN102032640A (en) * | 2009-09-25 | 2011-04-27 | 西安西翼智能科技有限公司 | Fuzzy proportion integration differentiation (PID) control method and device for industrial environment high-precision air conditioner |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
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CN103453625A (en) * | 2013-08-19 | 2013-12-18 | 苏州康华净化系统工程有限公司 | Workshop constant temperature and humidity system and control method thereof |
CN104019526A (en) * | 2014-06-24 | 2014-09-03 | 河海大学常州校区 | Fussily self-adaptive PID temperature and humidity control system and method based on improved PSO (Particle Swarm Optimization) algorithm |
CN104019526B (en) * | 2014-06-24 | 2016-08-17 | 河海大学常州校区 | Improve PSO algorithm Fuzzy Adaptive PID temperature and humidity control system and method |
CN105423503A (en) * | 2015-11-07 | 2016-03-23 | 中用环保科技有限公司 | Central air-conditioning energy-saving control method and system based on video human flow density map |
CN106843227A (en) * | 2017-03-09 | 2017-06-13 | 杭州电子科技大学 | A kind of method of the autonomous tracking path planning of intelligent automobile |
CN109269027A (en) * | 2018-06-20 | 2019-01-25 | 广东海悟科技有限公司 | A kind of air conditioner refrigerating control method, system and the device of automatic optimal |
CN109269027B (en) * | 2018-06-20 | 2023-04-07 | 广东海悟科技有限公司 | Automatic optimization air conditioner refrigeration control method, system and device |
CN115167578A (en) * | 2022-06-22 | 2022-10-11 | 浙江中烟工业有限责任公司 | Dynamic threshold value adjusting method for temperature-changing humidity control interval |
CN115167578B (en) * | 2022-06-22 | 2024-02-02 | 浙江中烟工业有限责任公司 | A dynamic threshold adjustment method for variable temperature and humidity control intervals |
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