WO2015006966A1 - 基于Monte Carlo理论的温度控制方法及其冰箱 - Google Patents

基于Monte Carlo理论的温度控制方法及其冰箱 Download PDF

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Publication number
WO2015006966A1
WO2015006966A1 PCT/CN2013/079667 CN2013079667W WO2015006966A1 WO 2015006966 A1 WO2015006966 A1 WO 2015006966A1 CN 2013079667 W CN2013079667 W CN 2013079667W WO 2015006966 A1 WO2015006966 A1 WO 2015006966A1
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temperature
fan
compressor
time interval
temperature control
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PCT/CN2013/079667
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English (en)
French (fr)
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孔冬
潘坚
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海信容声(广东)冰箱有限公司
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Priority to PCT/CN2013/079667 priority Critical patent/WO2015006966A1/zh
Publication of WO2015006966A1 publication Critical patent/WO2015006966A1/zh

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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25DREFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D29/00Arrangement or mounting of control or safety devices
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25DREFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D2700/00Means for sensing or measuring; Sensors therefor
    • F25D2700/12Sensors measuring the inside temperature

Definitions

  • the present invention relates to a temperature control method based on Monte Carlo theory and a refrigerator thereof, and the temperature control method can also be applied to a freezer, a wine cooler, an ice maker, a refrigerator, a freezer, and the like.
  • the existing refrigerator temperature control such as the Chinese patent, the application number is 201110335037.6, the compartment temperature control method named refrigerator, which comprises the following steps: receiving the first temperature signal detected by the temperature sensor in the compartment of the refrigerator, determining the first temperature Whether the signal is in the first temperature interval; if the first temperature signal is in the first temperature interval, determining that the temperature sensor is in a normal state, and controlling the compressor to be turned on or off according to a predetermined manner according to the first temperature signal; When it is judged that the first temperature signal is not in the first temperature interval, it is determined that the temperature sensor is malfunctioning, and the compressor is controlled to be started and turned off according to a predetermined time ratio of closing/starting. In the event of a temperature sensor failure, the compressor can be normally controlled to prevent excessive temperature fluctuations in the compartment and to avoid malfunction of the compartment.
  • the name is a refrigerator and a method for temperature control in the refrigerator, which includes a storage compartment for cooling the articles and a control device for introducing cold air from the refrigerator into the refrigerator when there is a control signal, and preventing A defrosting heating element formed by condensate and/or ice due to the flow of cold air supplied to the refrigerating compartment.
  • the timing element whereby the heating element remains operating for a predetermined period of time after the cooling signal is generated, is associated with or connected to the heating element.
  • the application number is 03145767.3
  • the temperature is a method for controlling the temperature of the refrigerator, the inlet having the refrigerant, the first outlet of the refrigerant, and the second outlet; and the valve body for controlling the opening and closing of the outlet and the outlet
  • the valve body is disposed in the valve device in the sealed space and the refrigerator of the stepping motor that drives the valve body, and when the refrigerator is turned on, the temperature of the first chamber that supplies the refrigerant from the first outlet and the second outlet are While the temperature of the second chamber to which the refrigerant is supplied reaches the set temperature, the motor is controlled to be opened at the first outlet.
  • the second outlet is alternately opened and closed on the open-close mode side in which the first outlet is closed, and the closed-open mode side in which the second outlet is open.
  • a temperature control method capable of setting substantially the same cooling rate in each chamber after the power is turned on in the refrigerator in which the refrigerant is distributed to the plurality of indoor cooling structures.
  • the above several patents mainly control the opening and closing of the compressor according to the temperature controller's signal according to the temperature range of the pick-up temperature, and are a deterministic control method.
  • the present invention introduces a random control based on the Monte Carlo method for the first time in the temperature control process of the refrigerator, that is, each work step is based on the control of the random process, and the entire control process It is also deterministic.
  • the technical problem to be solved by the present invention is to provide a temperature control method based on Monte Carlo theory and a refrigerator thereof which can effectively improve control accuracy and stability.
  • a temperature control method based on Monte Carlo theory which comprises the following steps:
  • S6 Make a logical judgment: If ⁇ , go directly to S2, start a new cycle; if ⁇ , terminate the cooling state, pass the time interval ⁇ , and to S2, start a new cycle.
  • the present invention also provides a temperature control method based on Monte Carlo theory, which comprises the following steps:
  • S4 Perform logical judgment: If !11 ⁇ (7,7) ⁇ 7 ⁇ stops the cooling state, turn off the compressor/fan, after maintaining the time interval ⁇ , go directly to S3 and start a new cycle; if min ⁇ r, continue Keep the cooling state/fan running, after maintaining the time interval ⁇ , go directly to S5; for the situation between the first two, such as 7; > >7 or 7 > ⁇ >7, turn off the compressor and keep the fan running After maintaining the time interval ⁇ , go directly to S3 and start a new cycle;
  • S6 Perform logical judgment: If ⁇ 111 ⁇ ( ⁇ 2 ), compressor operation, fan continues, time interval ⁇ , to S2; if ⁇ ( ⁇ 2 ), compressor stop, fan stop, time interval After ⁇ , to S3; if ⁇ 2 , the compressor continues, the fan stops, after the time interval ⁇ , to S3; if R 2 ⁇ R ⁇ , the compressor stops, the fan continues, after the time interval ⁇ , Go to S3.
  • the present invention also provides a refrigerator using the temperature control method, which comprises a cabinet room, a microprocessor, a compressor, a fan, a temperature sensor, and a human-machine interaction interface, and the microprocessor and the compressor respectively , fan, temperature sensor, human-computer interaction interface connection, human-computer interaction interface receives the set temperature parameter and transmits to the microprocessor, the temperature sensor is used to collect the temperature parameter of the cabinet room, and the microprocessor combines the temperature parameter with Monte The temperature control method of the Carlo theory controls the working state of the compressor and/or the fan.
  • the present invention introduces a random control based on the Monte Carlo method for the first time in the temperature control process, and has three main advantages:
  • Adaptive temperature control can be achieved according to different ambient temperatures or climate types.
  • Figure 1 shows the control diagram
  • 1 is human-computer interaction
  • 2 is the microprocessor
  • 3 temperature sensor 1 4 temperature sensor 2
  • 5 is the fan
  • 6 compressor 6 compressor
  • FIG. 1 shows the single temperature sensor control flow (ie only the temperature sensor).
  • Figure 3 shows the dual temperature sensor control flow (ie, with temperature sensor and T 2 ).
  • Figure 4 is a schematic diagram of the temperature operation curve.
  • the invention patent is directed to a single compartment and the number of temperature sensors is different, and is expressed by different embodiments, and is controlled by a single temperature (ie, only the temperature sensor T and the dual temperature control (ie, the temperature sensor and the 11 ⁇ 2) are controlled by the refrigerator. example.
  • the refrigerator of the present invention comprises a cabinet room, a microprocessor 2, a compressor 6, a fan or a corresponding damper 5, temperature sensors 3, 4 and a human-machine interface 1, respectively, and a microprocessor
  • the reducer, the fan, the temperature sensor, the human-machine interface, the human-machine interface receives the set temperature parameter and transmits it to the microprocessor, and the temperature sensor is used to collect the temperature parameter of the compartment, and the microprocessor according to the temperature parameter
  • the temperature control method combined with Monte Carlo theory controls the working state of the compressor and/or the fan.
  • This embodiment is directed to single temperature control, ie only temperature sensor T 1 ; as shown in Figure 2:
  • This embodiment is directed to dual temperature control, i.e., temperature sensors 7 ⁇ and 71 ⁇ 2, as shown in Figure 3:
  • min ⁇ r continue to maintain the cooling state / fan operation, after maintaining the time interval ⁇ , go directly to S5; for the case between the first two, such as 7; >> 2 or 7 > ⁇ > 7, then close the pressure Reduce the machine, keep the fan running, after maintaining the time interval ⁇ , go directly to S3 and start a new cycle;
  • the compressor If ⁇ 11 ⁇ ⁇ 2 ), the compressor is running, the fan continues, after the time interval ⁇ , to S2; if R ⁇ min, the compressor stops, the fan stops, after the time interval ⁇ , to S3; if ⁇ 2 , the compressor continues, the fan stops, after the time interval ⁇ , to S3; if R 2 ⁇ R ⁇ ⁇ , the compressor stops, the fan continues, after the time interval ⁇ , to S3.
  • the temperature of the refrigerator compartment will gradually approach the set temperature and will maintain good accuracy and stability at the set temperature attachment. Since this patent only deals with the imminent temperature of the measured temperature and the set temperature, the temperature control method based on Monte Carlo theory has strong adaptability to different environmental temperatures or climate types.
  • the patent can also be applied to the deterministic control method by referring to the calculated parameters.
  • Figure 4 shows the measured temperature versus time curve. The overall trend is gradually approaching the set temperature throughout the control work step, but the local work step may have a random fluctuation.
  • the present invention calculates the judgment parameters for the pickup temperature, and intelligently controls the temperature of the compartment between the refrigerators by comparison with the introduced random numbers.
  • the temperature control theory in the present invention facilitates the realization of the temperature control program and satisfies the requirements for precise temperature control.
  • the temperature control method based on Monte Carlo theory has strong adaptability to different environmental temperatures or climate types.
  • the present invention is different from the conventional deterministic control method.
  • the present invention introduces the Monte Carlo stochastic control theory in the refrigerator temperature control system; in the stochastic control, the calculated judgment parameter is compared with the random number R (between 0 and 1) as The basis of the process control, easy to implement the program, and applicable to the working conditions of the multi-temperature sensor; the judgment parameters calculated by the formula in the invention (such as the Ri of the single temperature sensor condition, the RBR 2 of the dual temperature sensor condition), describes The current temperature is close to the set temperature. For example, 1 means the same as the set temperature, 0 means infinity (ideal state) from the set temperature, and the closer to 1, the closer to the set temperature. Therefore, the judgment parameters can still be used in the deterministic control, and different control strategies are adopted according to the degree of imminence with the set temperature.

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  • Automation & Control Theory (AREA)
  • Evolutionary Computation (AREA)
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Abstract

本发明涉及一种基于Monte Carlo理论的温度控制方法及其冰箱,所述冰箱包括箱体间室、微处理器、压缩机、风机、温度传感器及人机交互界面,微处理器分别与压缩机、风机、温度传感器、人机交互界面连接,人机交互界面接收设定温度参数并传输至微处理器,温度传感器用于采集箱体间室的温度参数,微处理器根据温度参数并结合Monte Carlo理论的温度控制方法控制压缩机和/或风机的工作状态。本发明利用温度控制理论,便于温度控制程序实现及满足精确控制温度的要求,并且可以适应不同的环境温度或气候类型,做到自适应温度控制。

Description

基于 Monte Carlo理论的温度控制方法及其冰箱 技术领域
本发明涉及一种基于 Monte Carlo理论的温度控制方法及其冰箱, 所述温度 控制方法还可应用于冰柜、 酒柜、 制冰机、 冷藏箱、 冷冻箱等。
背景技术
随着生活水平的提高, 冰箱的使用范围和频率越来越高, 已经成为了居家生 活的必备电器。 由于温度控制对食物保鲜的重要影响, 人们对冰箱各间室精确控 制温度的要求也越来越高。以往的冰箱温度控制都是基于确定性的控制理论来实 现的, 即是基于设定温度与实测温度的直接对比。
现有的冰箱温度控制, 如中国专利, 申请号为 201110335037.6, 名称为冰箱 的间室温度控制方法, 其包括以下步骤: 接收冰箱的间室内的温度传感器检测的 第一温度信号, 判断第一温度信号是否处于第一温度区间内; 如果所述第一温度 信号位于第一温度区间内, 则判定温度传感器处于正常状态, 并根据第一温度信 号控制压縮机按照预定方式启动或关闭;以及如果判断第一温度信号不在第一温 度区间内, 则判定温度传感器发生故障, 并控制压縮机按照预定的关闭 /启动的 时间比进行启动和关闭。其在温度传感器发生故障时, 能够正常控制压縮机开停 机以防止间室温度波动过大, 避免间室功能失效。
又如申请号为 200980151510.6,名称为冰箱以及用于在冰箱中进行温度控制 的方法,其包括用于冷却物品的储藏室和当存在控制信号时冷空气由其导入冷藏 室内的控制装置, 以及防止冷凝物和 /或冰由于供给入冷藏室的冷空气流的缘故 而形成的除霜加热元件。由此加热元件在冷却信号产生之后保持在预定的时间间 隔内操作的定时元件是与加热元件相联系或连接。
再如申请号为 03145767.3, 名称为冰箱的温度控制方法, 其在具有制冷剂的 流入口、制冷剂的第 1流出口、第 2流出口; 控制流出口和流出口开闭动作的阀 体、将阀体配置在密封空间内的阀装置及驱动阀体的步进电机的冰箱中, 当打开 冰箱电源后,在从第 1流出口供给制冷剂的第 1室内的温度和从第 2流出口供给 制冷剂的第 2室内的温度达到设定温度的期间,上述电机控制在第 1流出口为开、 第 2流出口为闭状态的开-闭模式侧与第 1流出口为闭、 第 2流出口为开状态的 闭-开模式侧往复交替地工作。 可提供一种在将制冷剂分配到多个室内冷却用结 构的冰箱中打开电源后各室内可设定大体相同的冷却速度的温度控制方法。
上述几个专利主要通过对拾取温度所处温度范围的比较,根据温控器的信号 并依据设定的既定程序控制压縮机的开停, 均是一种确定性的控制方法。
为了便于温度控制程序实现及满足精确控制温度的要求,本发明首次在冰箱 温度控制流程中引入基于 Monte Carlo方法的随机控制, 即每一个工作步都是基 于随机过程的控制, 而对整个控制过程又是确定性的。
发明内容
本发明所要解决的技术问题是,提供一种有效提高控制精确度和稳定性的基 于 Monte Carlo理论的温度控制方法及其冰箱。
为解决上述技术问题, 本发明采用的技术方案是: 一种基于 Monte Carlo理 论的温度控制方法, 其包括以下步骤:
S1 : 通过人机交互界面设定温度;
S2: 压縮机 /风机同时运行 Δ ;
S3: 读取当前温度 7; ;
S4: 进行逻辑判断: 如果?;≤Γ, 停止制冷状态, 维持时间间隔 Δ后, 直接 到 S3, 开始新的循环; 如果 7 > Γ, 直接到 S5;
S5: 根据公式计算判断参数 ,其中判断参数 为设定温度 Γ与当前温度 7; 的函数, = e , 用来描述当前温度 7;与设定温度 Γ的迫近程度, 例如 = Γ 时 =1, 7 ≠ 时 0< <1; 由微处理器生成 0-1之间的随机数 R ;
S6: 进行逻辑判断: 如果 ^≥ , 直接到 S2, 开始新的循环; 如果 < , 终止制冷状态, 经过时间间隔 Δ , 并到 S2, 开始新的循环。
同时, 本发明还提供一种基于 Monte Carlo理论的温度控制方法, 其包括以 下步骤:
S1 : 通过人机交互界面设定温度 Γ (本实施例设定温度 r=5。C);
S2: 压縮机 /风机同时运行 Δ ; S3: 读取当前温度 7;和 Γ2 ;
S4:进行逻辑判断: 如果 !11^(7 ,7 )≤7\停止制冷状态, 关闭压縮机 /风机, 维持时间间隔 Δ后, 直接到 S3, 开始新的循环; 如果 min ^ r, 继续保持 制冷状态 /风扇运行, 维持时间间隔 Δ后, 直接到 S5; 对于介于前两者之间的情 况,如 7; > >7 或7 >Γ>7,则关闭压縮机,保持风机运行,维持时间间隔 Δ 后, 直接到 S3, 开始新的循环;
S5: 根据公式计算判断参数 和 , 其中 = ^_和 =^」 , 用 来描述当前平均温度 ϋ与设定温度 Γ的迫近程度, H =Τ时 =1说明平
2 2 均温度达到设定温度,否则 0<^<1; 用来描述同一间室温度的均匀程度, τ1=τ2 时 =1说明本间室温度均匀性好, ≠7 贝1」0<^2<1; 由微处理器生成 0-1之间 的随机数 R;
S6: 进行逻辑判断: 如果^≥ 111^( ^2), 压縮机运行、 风机继续, 时间间 隔 Δ后, 到 S2; 如果 <ηώ ( ^2), 压縮机停机、 风机停机, 时间间隔 Δ后, 到 S3; 如果 <^<^2, 压縮机继续、 风机停机, 时间间隔 Δ后, 到 S3; 如果 R2<R<^, 压縮机停机、 风机继续, 时间间隔 Δ后, 到 S3。 另外, 本发明还提供一种利用所述温度控制方法的冰箱, 其包括箱体间室、 微处理器、压縮机、风机、温度传感器及人机交互界面,微处理器分别与压縮机、 风机、温度传感器、 人机交互界面连接, 人机交互界面接收设定温度参数并传输 至微处理器,温度传感器用于采集箱体间室的温度参数, 微处理器根据温度参数 并结合 Monte Carlo理论的温度控制方法控制压縮机和 /或风机的工作状态。
本发明首次在温控流程中引入基于 Monte Carlo方法的随机控制, 主要具有 三方面的优势:
(1) 可以方便快捷实现冰箱温度控制设计;
(2) 可以提升冰箱温度控制的精确度; (3) 可以根据不同环境温度或气候类型, 做到自适应温度控制。
附图说明
图 1为控制示意图, ①为人机交互, ②为微处理器, ③温度传感器 1, ④温 度传感器 2, ⑤为风机, ⑥压縮机。
图 2为单温度传感器控制流程 (即仅有温度传感器 )。
图 3为双温度传感器控制流程 (即有温度传感器 和 T2)。
图 4为温度运行曲线示意图。
具体实施方式
下面结合具体实施例对本发明作进一步的说明。
本发明专利针对单间室而温度传感器数目不同的工况,由不同的实施方案来 表达, 以单温度控制 (即仅有温度传感器 T 和双温度控制 (即有温度传感器 和1½) 的冰箱控制为例。
实施例 1
如图 1所示, 本发明的冰箱包括箱体间室、 微处理器②、 压縮机⑥、 风机或 相应风门⑤、 温度传感器③、 ④及人机交互界面①, 微处理器分别与压縮机、风 机、温度传感器、 人机交互界面连接, 人机交互界面接收设定温度参数并传输至 微处理器,温度传感器用于采集箱体间室的温度参数, 微处理器根据温度参数并 结合 Monte Carlo理论的温度控制方法控制压縮机和 /或风机的工作状态。
本实施例针对单温度控制, 即仅有温度传感器 T1 ; 如图 2所示:
S1 : 通过人机交互界面设定温度;
S2: 压縮机 /风机同时运行 Δ (在本专利中, A e (5min,20min) ); S3: 读取当前温度 7; ; S4: 进行逻辑判断:
如果 7≤Γ, 停止制冷状态, 维持时间间隔 Δ后, 直接到 S3, 开始新的循 环;
如果 7 > 7 直接到 S5;
S5: 根据公式计算判断参数 ,其中判断参数 为设定温度 Γ与当前温度 7; 的函数, R1 =e τ , 用来描述当前温度 7;与设定温度 Γ的迫近程度, 例如 =Γ 时 =1, 7 ≠ 时 0< <1; 由微处理器生成 0-1之间的随机数 R; S6: 进行逻辑判断:
如果 ≥^, 直接到 S2, 开始新的循环; 如果 < , 终止制冷状态, 经过时间间隔 Δ , 并到 S2, 开始新的循环。 经过多个流程的循环, 冰箱间室温度会逐渐向设定温度接近, 并会在设定温 度附近保持良好的精确度和稳定性。
实施例 2
本实施例针对双温度控制, 即有温度传感器 7^和7½, 如图 3所示:
S1: 通过人机交互界面设定温度 Γ (本实施例设定温度 r=5。C);
S2: 压縮机 /风机同时运行 Δ ;
S3: 读取当前温度 7;和 Γ2 ; S4: 进行逻辑判断:
如果 ma^T^rj r,停止制冷状态,关闭压縮机 /风机,维持时间间隔 Δ后, 直接到 S3, 开始新的循环;
如果 min ^ r, 继续保持制冷状态 /风扇运行, 维持时间间隔 Δ后,直 接到 S5; 对于介于前两者之间的情况, 如 7; > > 2或7 >Γ>7 , 则关闭压縮机, 保持风机运行, 维持时间间隔 Δ后, 直接到 S3, 开始新的循环;
S5: 根据公式计算判断参数 和 , 其中 =6 τ 和 R2 =e τ , 用 来描述当前平均温度 ϋ与设定温度 Γ的迫近程度,
2 H =Τ时 =1说明平
2 1 均温度达到设定温度,否则 0<^<1; 用来描述同一间室温度的均匀程度, τ1=τ2 时 说明本间室温度均匀性好, Τγ≠Τ则 0<i?2<l。 由微处理器生成 0-1之间 的随机数 R; S6: 进行逻辑判断:
如果 ≥ 11^ ^2), 压縮机运行、 风机继续, 时间间隔 Δ后, 到 S2; 如果 R< min 压縮机停机、 风机停机, 时间间隔 Δ后, 到 S3 ; 如果 <^<^2, 压縮机继续、 风机停机, 时间间隔 Δ后, 到 S3 ; 如果 R2<R<^, 压縮机停机、 风机继续, 时间间隔 Δ后, 到 S3。 经过多个流程的循环, 冰箱间室温度会逐渐向设定温度接近, 并会在设定温 度附件保持良好的精确度和稳定性。由于本专利仅涉及到实测温度与设定温度的 迫近程度, 因此, 针对于不同环境温度或气候类型, 基于 Monte Carlo理论的温 度控制方法都有很强的适应性。
在两个实施方式中,由于引入了判断参数可以描述冰箱间室温度控制与设定 温度的迫近程度, 因此, 本专利也可以借鉴计算出的参数应用于确定性的控制方 式中。 图 4为实测温度随时间变化的曲线, 在整个控制工作步中整体趋势是与设 定温度逐渐迫近的, 但局部工作步则有可能出现具有一定随机性的波动。
本发明对拾取温度计算判断参数, 通过与引入的随机数进行的比较, 来对冰 箱间室温度进行智能控制。本发明中的温度控制理论, 便于温度控制程序实现及 满足精确控制温度的要求, 针对于不同环境温度或气候类型, 基于 Monte Carlo 理论的温度控制方法都有很强的适应性。
本发明与以往确定性控制方法不同,本发明在冰箱温度控制系统引入 Monte Carlo随机控制理论; 在随机控制中, 将由计算得到的判断参数与随机数 R (介 于 0和 1之间) 比较作为流程控制的依据, 易于程序实现, 并适用于多温度传感 器的工况; 由发明中公式计算得到的判断参数 (如单温度传感器工况的 Ri, 双 温度传感器工况的 R B R2), 描述了当前温度与设定温度的迫近程度, 如 1代 表与设定温度相同, 0代表与设定温度相距无限远 (理想状态), 越接近 1越表 明与设定温度相近。 因此, 本判断参数仍然可以用于确定性控制中, 根据与设定 温度的迫近程度, 采取不同的控制策略。

Claims

权 利 要 求 书
1. 一种基于 Monte Carlo理论的温度控制方法,其特征在于,包括以下步骤: S1: 通过人机交互界面设定温度;
S2: 压縮机 /风机同时运行 Δ ;
S3: 读取当前温度 7; ;
S4: 进行逻辑判断:
如果 7 ≤Γ, 停止制冷状态, 维持时间间隔 Δ后, 直接到 S3, 开始新的循 环;
如果 7 >7\ 直接到 S5; S5: 根据公式计算判断参数 ,其中判断参数 为设定温度 Γ与当前温度 7; 的函数, = e , 用来描述当前温度 7;与设定温度 Γ的迫近程度, 例如 =Γ 时 =1, 7 ≠ 时 0< <1; 由微处理器生成 0-1之间的随机数 R ; S6: 进行逻辑判断:
如果 ≥^, 直接到 S2, 开始新的循环; 如果 < , 终止制冷状态, 经过时间间隔 Δ , 并到 S2, 开始新的循环。
2. 根据权利要求 1所述的基于 Monte Carlo理论的温度控制方法,其特征在 于, At e (5 min,20 min)。
3. 一种基于 Monte Carlo理论的温度控制方法,其特征在于,包括以下步骤: S1: 通过人机交互界面设定温度 Γ (本实施例设定温度 r=5。C);
S2: 压縮机 /风机同时运行 Δ ;
S3: 读取当前温度 7;和 Γ2 ; S4: 进行逻辑判断:
如果 ma^? ,:^) < T,停止制冷状态,关闭压縮机 /风机,维持时间间隔 Δ后, 直接到 S3, 开始新的循环;
如果 min ^ r, 继续保持制冷状态 /风扇运行, 维持时间间隔 Δ后,直 接到 S5; 对于介于前两者之间的情况, 如 7; > >7 或7 >Γ >7 , 则关闭压縮机, 保持风机运行, 维持时间间隔 Δ后, 直接到 S3, 开始新的循环;
S5: 根据公式计算判断参数 和 , 其中 = ^_和 =^」 , 用 来描述当前平均温度 ϋ与设定温度 Γ的迫近程度, 11^=7^时 =1说明平
2 2 均温度达到设定温度,否则 0<^<1; 用来描述同一间室温度的均匀程度, τ1=τ2 时 说明本间室温度均匀性好, ≠Γ2则 0<i?2<l; 由微处理器生成 0-1之间 的随机数 R;
S6: 进行逻辑判断:
如果^≥ 11^ ^2), 压縮机运行、 风机继续, 时间间隔 Δ后, 到 S2; 如果 R<min 压縮机停机、 风机停机, 时间间隔 Δ后, 到 S3; 如果 <^<^2, 压縮机继续、 风机停机, 时间间隔 Δ后, 到 S3; 如果 R2<R<^, 压縮机停机、 风机继续, 时间间隔 Δ后, 到 S3。
4. 根据权利要求 3所述的基于 Monte Carlo理论的温度控制方法,其特征在 于, 温度 T=5°C。
5. 一种根据权利要求 1至 4任一项所述温度控制方法的冰箱, 其包括箱体 间室、 微处理器、 压縮机、 风机、 温度传感器及人机交互界面, 微处理器分别与 压縮机、 风机、温度传感器、 人机交互界面连接, 人机交互界面接收设定温度参 数并传输至微处理器,温度传感器用于采集箱体间室的温度参数, 微处理器根据 温度参数并结合 Monte Carlo理论的温度控制方法控制压縮机和 /或风机的工作状 态。
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