CN118605644A - Electronic constant temperature controller and control method - Google Patents
Electronic constant temperature controller and control method Download PDFInfo
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- CN118605644A CN118605644A CN202410844823.6A CN202410844823A CN118605644A CN 118605644 A CN118605644 A CN 118605644A CN 202410844823 A CN202410844823 A CN 202410844823A CN 118605644 A CN118605644 A CN 118605644A
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Abstract
The invention discloses an electronic constant temperature controller and a control method, wherein the electronic constant temperature controller comprises a temperature sensor, a control unit and a control unit, wherein the temperature sensor is used for sensing the temperature of fluid in real time; the signal processing circuit is used for receiving and processing the electric signal from the temperature sensor and filtering the electric signal; the control algorithm module calculates a control signal according to the processed temperature signal; the electric actuator receives the control signal and adjusts the valve opening of the fluid channel, and the flow of the fluid is adjusted by adjusting the valve opening. Compared with the traditional mechanical thermostatic valve, the invention has obvious energy-saving and environment-friendly advantages, and firstly, the waste of energy sources can be avoided by accurately controlling the flow of fluid; and secondly, the electronic thermostatic valve adopts an advanced control technology, can quickly respond to temperature change, reduces energy consumption, has the characteristics of low noise, low emission and the like, and is beneficial to environmental protection.
Description
Technical Field
The invention relates to the technical field of fluid control, in particular to an electronic constant temperature controller and a control method.
Background
With advances in technology and increased levels of industrial automation, electronic thermostats have played an important role in various industrial and laboratory applications, and controllers ensure consistent system operation and product quality by precisely regulating the temperature of the fluid.
At present, the requirements of fluid control technology are higher and higher, and particularly in the aspect of temperature control, the traditional thermostatic valve has the problems of low precision, slow response, environmental protection and the like, and cannot meet the requirements of modern society. Therefore, the invention provides an electronic constant temperature controller and a control method thereof to solve the defects in the prior art.
Disclosure of Invention
The present invention is directed to an electronic thermostat controller and a control method thereof, so as to solve the problems set forth in the background art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
an electronic thermostat controller comprising
A temperature sensor for sensing the temperature of the fluid in real time;
the signal processing circuit is used for receiving and processing the electric signal from the temperature sensor and filtering the electric signal;
The control algorithm module calculates a control signal according to the processed temperature signal;
The electric actuator receives the control signal and adjusts the valve opening of the fluid channel, and the flow of the fluid is adjusted by adjusting the valve opening;
And the feedback mechanism is used for monitoring and feeding back the adjusted fluid temperature in real time, and the system carries out further adjustment according to the feedback adjusted fluid temperature.
Further, the control algorithm module adopts a PID control algorithm;
PID control algorithm formula:
[u(t)＝K_pe(t)+K_i\int_{0}^{t}e(\tau),d\tau+K_d\frac{de(t)}{dt}]
Where, (u (t)) is the control signal, (e (t)) is the temperature deviation, (k_p, k_i, k_d) are the proportional, integral and differential gains, respectively.
Further, the signal processing circuit further comprises a digital filter for removing noise and interference in the temperature signal;
the digital low-pass filter is used for removing high-frequency noise, and the function formula is as follows:
[y[n]＝(1-\alpha)\cdoty[n-1]+\alpha\cdotx[n]]
where (x n) is the input signal, (y n) is the output signal and "(\alpha) is the filter coefficient.
Further, the electric actuator is an electric valve actuator, and the electric valve actuator is used for controlling the sectional area of the fluid channel.
Further, the feedback module further comprises an abnormal temperature alarm unit, and the abnormal temperature alarm unit is used for detecting and alarming abnormal temperature states.
Further, the feedback module further includes a sensor fault detection unit for detecting and reporting a fault condition of the temperature sensor.
Further, also include
The safety power-off module is used for safely stopping control under the abnormal condition of the power supply;
and the temperature setting module can set a required target temperature value in a required mode.
Further, the system comprises a communication interface, wherein the communication interface is used for carrying out data interaction and remote control with an external monitoring system.
Further, the control algorithm module further comprises an adaptive control algorithm, wherein the adaptive control algorithm is used for dynamically adjusting control parameters according to environmental changes and system responses;
the self-adaptive control algorithm adjusts control parameters according to the system response, and the function formula is expressed as follows:
[K_p(t+1)＝K_p(t)+\Delta K_p(t)]
where (K_p (t)) is the current proportional gain and (DeltaK_p (t)) is the gain variation adjusted according to the systematic error.
A control method of an electronic thermostat controller, comprising the steps of:
step S1, sensing the temperature of fluid in real time through a temperature sensor, and converting a temperature signal into an electric signal;
step S2, receiving and filtering the electric signal from the temperature sensor through a signal processing circuit to remove noise and interference;
Step S3, calculating a control signal according to the processed temperature signal, and calculating a control signal required for adjusting the opening of the valve by using a PID control algorithm;
Step S4, transmitting a control signal to the electric actuator, and adjusting the opening of the valve to adjust the flow of the fluid;
And S5, monitoring and feeding back the temperature of the fluid after adjustment in real time, and recalculating the control signal if the temperature deviation is excessive until the temperature of the fluid is stabilized within a preset target range.
Compared with the prior art, the invention has the beneficial effects that:
Compared with the traditional mechanical thermostatic valve, the invention has obvious energy-saving and environment-friendly advantages, and firstly, the waste of energy sources can be avoided by accurately controlling the flow of fluid; and secondly, the electronic thermostatic valve adopts an advanced control technology, can quickly respond to temperature change, reduces energy consumption, has the characteristics of low noise, low emission and the like, and is beneficial to environmental protection.
In a word, the electronic thermostatic valve has the advantages of high precision, quick response, energy conservation, environmental protection, safety, reliability and the like in the aspect of temperature control, can meet the requirements of intelligent life in the modern society, and has high practical value and market prospect.
Drawings
Fig. 1 is a flow chart of a control method of an electronic thermostat of the present invention.
Fig. 2 is a schematic diagram of the overall connection of an electronic thermostat controller according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 2, the present invention provides a technical solution:
an electronic thermostat controller comprising
The temperature sensor is used for sensing the temperature of the fluid in real time;
The signal processing circuit is used for receiving and processing the electric signal from the temperature sensor and filtering the electric signal;
The control algorithm module calculates a control signal according to the processed temperature signal;
the electric actuator receives the control signal and adjusts the valve opening of the fluid channel, and the flow of the fluid is adjusted by adjusting the valve opening;
And the feedback module is used for monitoring and feeding back the temperature of the fluid after the adjustment in real time, and the system carries out further adjustment according to the temperature of the fluid after the adjustment.
In this embodiment, the control algorithm module adopts a PID control algorithm;
PID control algorithm formula:
[u(t)＝K_pe(t)+K_i\int_{0}^{t}e(\tau),d\tau+K_d\frac{de(t)}{dt}]
where, (u (t)) is the control signal, (e (t)) is the temperature deviation, (k_p, k_i, k_d) are the proportional, integral and differential gains, respectively;
Specifically, the PID control algorithm adjusts the control amount according to the current error, including a proportional term, an integral term, and a differential term.
Assume that the current target temperature is (t_ { _text { set }), the actual temperature is (T)), and the error is (e (T) =t_ { _text { set } } } } } } } -T (T)).
The proportional term (P (t)) is representative of being proportional to the current error for adjusting the current state of the system.
[P(t)＝K_p\cdot e(t)]
Where (k_p) is the proportional gain coefficient.
The integral term (I (t)) is an accumulated error for eliminating static errors and enhancing the stability of the system.
[I(t)＝K_i\int_{0}^{t}e(\tau),d\tau]
Where (k_i) is the integral gain coefficient.
The differential term (D (t)) represents the future trend of the prediction error for suppressing oscillations of the system.
[D(t)＝K_d\frac{de(t)}{dt}]
Where (k_d) is the differential gain coefficient.
The control amount (u (t)) is obtained comprehensively:
[u(t)＝P(t)+I(t)+D(t)]
That is, [ u (t) =k_ p e (t) +k_i\int\0 } { t } e (\tau), d\tau+k_d\frac { de (t) } { dt }.
The algorithm flow is as follows:
The actual temperature (T)) is measured by a temperature sensor.
Calculate error (e (T) =t_ { \text { set } } } } } -T (T)).
PID calculation:
Calculate the proportional term (P (t) =k_p\ cdot e (t)).
Calculating the integral term (I (t) =k_i\int\{ 0} { t } e (\tau), d\tau), requires integrating the error.
The differential term (D (t) =k_d\frac { de (t) } { dt }) is calculated from the rate of change of the current error.
The three terms are then added to obtain the control signal (u (t)).
And finally, transmitting a control signal (u (t)) to the electric actuator to adjust the opening of the valve.
It will be appreciated that the control technique is the most critical part of the thermostatic controller, and determines how the electric actuator responds to temperature changes, the invention employs a PID control algorithm, the PID control algorithm can quickly and accurately calculate how the electric actuator should adjust the opening of the valve according to the real-time temperature feedback signal so as to keep the temperature constant.
In this embodiment, the signal processing circuit further includes a digital filter, where the digital filter is used to remove noise and interference in the temperature signal;
the digital low-pass filter is used for removing high-frequency noise, and the function formula is as follows:
[y[n]＝(1-\alpha)\cdoty[n-1]+\alpha\cdotx[n]]
where (x n) is the input signal, (y n) is the output signal and "(\alpha) is the filter coefficient.
In this embodiment, the electric actuator is an electric valve actuator, and the electric valve actuator is used for controlling the cross-sectional area of the fluid channel.
In this embodiment, the feedback module further includes an abnormal temperature alarm unit, where the abnormal temperature alarm unit is used to detect and alarm an abnormal temperature state.
In this embodiment, the feedback module further includes a sensor fault detection unit, where the sensor fault detection unit is configured to detect and report a fault state of the temperature sensor.
In the embodiment, the method also comprises
The safety power-off module is used for safely stopping control under the abnormal condition of the power supply;
The temperature setting module can set a required target temperature value in a required mode.
In this embodiment, the system includes a communication interface, where the communication interface is used to perform data interaction and remote control with an external monitoring system.
In this embodiment, the control algorithm module further includes an adaptive control algorithm, where the adaptive control algorithm is configured to dynamically adjust control parameters according to environmental changes and system responses;
the self-adaptive control algorithm adjusts control parameters according to the system response, and the function formula is expressed as follows:
[K_p(t+1)＝K_p(t)+\Delta K_p(t)]
where (K_p (t)) is the current proportional gain, (\Delta K_p (t)) is the gain variation adjusted according to the system error;
Specifically, a continuous-time based linear system model:
[\dot{x}(t)＝A x(t)+B u(t)]
[y(t)＝C x(t)]
where (x (t) \in\ mathbb { R } n) is a state vector, (u (t) \in\ mathbb { R }) is an input control amount, and (y (t) \in\ mathbb { R }) is an output signal. The goal is to design a control law (u (t)) so that the system output (y (t)) can track a given reference model (y_m (t)). The control law can be expressed as:
[u(t)＝\theta^T(t)\phi(t)]
where "(\theta (t)) is the adaptive parameter vector" (\phi (t)) is some transformation of the state vectors (x (t)) and (u (t)). The update law of the adaptation parameters is generally of the form:
[\dot{\theta}(t)＝\Gamma\phi(t)e(t)]
Where, (\Gamma) is a positive definite matrix and (e (t) =y (t) -y_m (t)) is the tracking error.
The algorithm flow is as follows:
an initial state (x (0)) is set, an initial adaptation parameter (\theta (0)) and a reference model (y_m (t)).
The current state (x (t)) is obtained from the sensor measurements, and the output (y (t)) is calculated.
The desired output trajectory is determined using a predefined reference model (y_m (t)).
The tracking error (e (t) =y (t) -y_m (t)) is calculated.
Adjusting the adaptation parameters (\theta (t)) according to the adaptation parameter update law:
[\dot{\theta}(t)＝\Gamma\phi(t)e(t)]
calculating a control input (u (t)) from the adaptation parameter and the state vector:
[u(t)＝\theta^T(t)\phi(t)]
the calculated control input (u (t)) is applied to the system to adjust the system state.
And circularly executing the steps, and updating the adaptation parameters and the control input in real time to adapt to the change of the dynamic characteristics of the system.
As shown in fig. 1, a control method of an electronic thermostat controller includes the following steps:
step S1, sensing the temperature of fluid in real time through a temperature sensor, and converting a temperature signal into an electric signal;
step S2, receiving and filtering the electric signal from the temperature sensor through a signal processing circuit to remove noise and interference;
Step S3, calculating a control signal according to the processed temperature signal, and calculating a control signal required for adjusting the opening of the valve by using a PID control algorithm;
Step S4, transmitting a control signal to the electric actuator, and adjusting the opening of the valve to adjust the flow of the fluid;
And S5, monitoring and feeding back the temperature of the fluid after adjustment in real time, and recalculating the control signal if the temperature deviation is excessive until the temperature of the fluid is stabilized within a preset target range.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. An electronic thermostat controller, comprising
A temperature sensor for sensing the temperature of the fluid in real time;
the signal processing circuit is used for receiving and processing the electric signal from the temperature sensor and filtering the electric signal;
The control algorithm module calculates a control signal according to the processed temperature signal;
The electric actuator receives the control signal and adjusts the valve opening of the fluid channel, and the flow of the fluid is adjusted by adjusting the valve opening;
And the feedback mechanism is used for monitoring and feeding back the adjusted fluid temperature in real time, and the system carries out further adjustment according to the feedback adjusted fluid temperature.
2. An electronic thermostat controller according to claim 1 wherein: the control algorithm module adopts a PID control algorithm;
PID control algorithm formula:
[u(t)＝K_pe(t)+K_i\int_{0}^{t}e(\tau),d\tau+K_d\frac{de(t)}{dt}]
Where, (u (t)) is the control signal, (e (t)) is the temperature deviation, (k_p, k_i, k_d) are the proportional, integral and differential gains, respectively.
3. An electronic thermostat controller according to claim 1 wherein: the signal processing circuit further comprises a digital filter for removing noise and interference in the temperature signal;
the digital low-pass filter is used for removing high-frequency noise, and the function formula is as follows:
[y[n]＝(1-\alpha)\cdoty[n-1]+\alpha\cdotx[n]]
where (x n) is the input signal, (y n) is the output signal and "(\alpha) is the filter coefficient.
4. An electronic thermostat controller according to claim 1 wherein: the electric actuating mechanism is an electric valve actuating mechanism, and the electric valve actuating mechanism is used for controlling the sectional area of the fluid channel.
5. An electronic thermostat controller according to claim 1 wherein: the feedback module further comprises an abnormal temperature alarm unit, and the abnormal temperature alarm unit is used for detecting and alarming abnormal temperature states.
6. An electronic thermostat controller according to claim 1 wherein: the feedback module further includes a sensor fault detection unit for detecting and reporting a fault condition of the temperature sensor.
7. An electronic thermostat controller according to claim 1 wherein: and also comprises
The safety power-off module is used for safely stopping control under the abnormal condition of the power supply;
and the temperature setting module can set a required target temperature value in a required mode.
8. An electronic thermostat controller according to claim 1 wherein: the system further comprises a communication interface, wherein the communication interface is used for carrying out data interaction and remote control with an external monitoring system.
9. An electronic thermostat controller according to claim 2 wherein: the control algorithm module further comprises an adaptive control algorithm, wherein the adaptive control algorithm is used for dynamically adjusting control parameters according to environmental changes and system responses;
the self-adaptive control algorithm adjusts control parameters according to the system response, and the function formula is expressed as follows:
[K_p(t+1)＝K_p(t)+\Delta K_p(t)]
where (K_p (t)) is the current proportional gain and (DeltaK_p (t)) is the gain variation adjusted according to the systematic error.
10. A control method of an electronic thermostat controller according to claims 1-9, characterized in that: the method comprises the following steps:
step S1, sensing the temperature of fluid in real time through a temperature sensor, and converting a temperature signal into an electric signal;
step S2, receiving and filtering the electric signal from the temperature sensor through a signal processing circuit to remove noise and interference;
Step S3, calculating a control signal according to the processed temperature signal, and calculating a control signal required for adjusting the opening of the valve by using a PID control algorithm;
Step S4, transmitting a control signal to the electric actuator, and adjusting the opening of the valve to adjust the flow of the fluid;
And S5, monitoring and feeding back the temperature of the fluid after adjustment in real time, and recalculating the control signal if the temperature deviation is excessive until the temperature of the fluid is stabilized within a preset target range.
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