Voltage transformation control method of electronic transformer for microwave oven

Abstract

The invention discloses a transformation control method of an electronic transformer for a microwave oven, and belongs to the technical field of transformation control of electronic transformers, the method comprises the following steps: continuously collecting voltage data points through a sensor, carrying out time division according to a voltage range, and continuously obtaining use state data of an electric appliance; establishing a voltage-time relation model, fitting daily periodic fluctuation, and generating a predicted voltage fluctuation curve; before the microwave oven is used, the use time point is aligned with the voltage fluctuation curve, the predicted voltage is compared with the actual voltage of the current electric appliance use state, the voltage deviation is obtained, the obtained voltage deviation is used for correcting the preset heating power parameter, and the corrected parameter is used for rapidly switching the element to drive the electronic transformer. According to the method, the electronic transformer can adapt to power grid fluctuation in advance, the power deviation caused by voltage jump is effectively reduced by pre-judging the power grid state and adjusting the switch time sequence parameters in advance, and the control logic in different voltage scenes is optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of voltage transformation control of electronic transformers, and in particular to a voltage transformation control method of an electronic transformer for a microwave oven. Background Art

[0002] In modern life, microwave ovens have become common appliances in homes and commercial kitchens due to their efficiency and convenience. However, during microwave oven operation, the stability of the voltage environment has a crucial impact on their performance and lifespan. When the grid voltage fluctuates or has significant deviations, not only can the microwave oven's heating efficiency decrease and cooking results become poor, but it can also cause electronic components to age faster due to the abnormal voltage, and even cause equipment failure. In addition, when the grid voltage fluctuates frequently, the electronic transformer needs to frequently adjust its power parameters. The resulting thermal stress can significantly shorten its service life and increase equipment maintenance costs. Currently, traditional microwave oven electronic transformer voltage transformation control methods mostly rely on real-time voltage feedback regulation, lack the ability to predict voltage fluctuations in advance, and are difficult to adapt to complex and changing grid environments. When faced with periodic voltage fluctuations or sudden voltage changes caused by the start-up and shutdown of high-power appliances, existing control methods are unable to adjust the operating parameters of the electronic transformer in a timely manner, resulting in poor microwave oven operation stability. Therefore, a voltage transformation control method that can accurately predict voltage states and optimize control logic is urgently needed to improve the performance and reliability of microwave ovens in different voltage scenarios.

[0003] Currently, no effective solutions have been proposed for the problems in related technologies. Summary of the Invention

[0004] In response to the problems in the related art, the present invention proposes a voltage transformation control method for an electronic transformer for a microwave oven, so as to improve the performance of the microwave oven when operating under different voltage scenarios.

[0005] To this end, the specific technical solutions adopted in the present invention are as follows:

[0006] A method for controlling voltage conversion of an electronic transformer for a microwave oven, the method comprising the following steps:

[0007] S1. Continuously collect voltage data points through sensors, divide them into time periods according to the voltage range, and continuously obtain appliance usage status data;

[0008] S2. Establish a voltage-time relationship model and fit the daily cycle fluctuation to generate a predicted voltage fluctuation curve;

[0009] S3. Before using the microwave oven, align the usage time point with the voltage fluctuation curve, compare the predicted voltage with the actual voltage under the current usage status of the appliance, and obtain a voltage deviation. Use the obtained voltage deviation to correct the preset heating power parameters, and use the corrected parameters to quickly switch the element to drive the electronic transformer;

[0010] S4. Detect the output voltage through sensors and resistors, compare the signal differences, and adjust the switching time ratio to stabilize the voltage.

[0011] As a preferred embodiment, the method of continuously collecting voltage data points through sensors, dividing the data into time periods according to the voltage range, and continuously obtaining the usage status data of all electrical appliances includes the following steps:

[0012] S11. Continuously collect voltage data from the circuit environment using a voltage sensor and set voltage thresholds to divide time periods into four categories: a steady-state high-voltage period, a standard fluctuation period, a low-voltage risk period, and a recovery transition period. Within each voltage range, the time periods are further subdivided based on the frequency and amplitude of load power mutations.

[0013] S12. Obtain the usage status of all electrical appliances through the intelligent switch, including the on / off status and standby status of the electrical appliances.

[0014] As a preferred embodiment, the establishment of a voltage-time relationship model and fitting of daily cycle fluctuations to generate a predicted voltage fluctuation curve includes the following steps:

[0015] S21. Set the window width to 5 minutes and use a sliding window to calculate the smoothed baseline voltage of the collected voltage data to eliminate short-term fluctuations including sudden loads on electrical appliances and retain the long-term trend of the power grid.

[0016] S22. Perform Fourier analysis on the voltage residual after detrending to extract the daily cycle and its harmonic components. Use the least squares method to fit the harmonic amplitude and phase to ensure that the fitting curve covers more than 95% of the voltage fluctuation energy and ignore high-frequency noise.

[0017] S23, adding an exponential decay correction term to the baseline voltage based on the start and stop times of the appliance recorded by the intelligent switch;

[0018] S24. Set the interval to 5 minutes and the window length to 1 hour, use the sliding time window to recalculate the baseline and harmonic parameters, and refresh the correction items according to the latest appliance start and stop events, and finally generate a continuous and differentiable prediction curve as the voltage reference for microwave oven power control.

[0019] As a preferred embodiment, the interval is set to 5 minutes, the window length is 1 hour, and the baseline and harmonic parameters are recalculated using a sliding time window. At the same time, the correction term is updated according to the latest appliance start and stop event, and finally a continuous and differentiable prediction curve is generated as the voltage reference for microwave oven power control. The formula of the prediction curve is:

[0020]

[0021] Among them, V P is the predicted voltage value, V b is the baseline voltage component, which is calculated by moving average of 5-minute sliding window. k is the amplitude of the kth harmonic, φ k is the phase of the kth harmonic, and the harmonic amplitude and harmonic phase are determined by least square fitting, T is the daily cycle, and the daily cycle is fixed at 24h, β m is the voltage offset amplitude of the mth load mutation, which is calculated by the measured voltage deviation when the appliance starts and stops, γ m is the decay rate of the mth mutation, obtained through historical event statistics, τ m is the moment when the mth load mutation occurs, is the attenuation correction term for historical load mutation events.

[0022] As a preferred embodiment, before using the microwave oven, aligning the usage time point with the voltage fluctuation curve, comparing the predicted voltage with the actual voltage of the appliance in the current usage state, obtaining a voltage deviation, using the obtained voltage deviation to correct the preset heating power parameter, and using the corrected parameter to quickly switch the element to drive the electronic transformer includes the following steps:

[0023] S31. Before using the microwave oven, obtain the time point of using the microwave oven, align it with the time axis of the predicted voltage fluctuation curve, and read the predicted voltage value at that moment;

[0024] S32, receiving the intelligent switch to obtain the current usage status of all electrical appliances, extracting the power data of the electrical appliances, and calculating the current total load power increment;

[0025] S33. Compare the current electrical appliance status with the historical benchmark period, identify newly added load devices, and record their start-up time and power;

[0026] S34. Based on the relationship between load power and voltage, dynamically add a correction term to the prediction model to obtain a corrected predicted voltage. Based on the deviation between the corrected predicted voltage and the original preset voltage, calculate a power correction amount according to a proportional coefficient to update the target power of the microwave oven.

[0027] S35. Convert the microwave oven target power into driving parameters of the electronic transformer and write the parameters into the cache area of ​​the controller to ensure that the parameters take effect immediately when the microwave oven is started.

[0028] As a preferred embodiment, the method of dynamically superimposing a correction term in the prediction model based on the influence relationship between load power and voltage to obtain a corrected predicted voltage, calculating a power correction amount according to a proportional coefficient based on the deviation between the corrected predicted voltage and the original preset voltage, and updating the microwave oven target power includes the following steps:

[0029] S341. Calculate the voltage offset β of the newly added load based on the relationship between load power and voltage m' , and set the decay rate γ based on the device type m' Get the correction items caused by the newly added electrical appliance status This correction term is dynamically added to the original model and the predicted voltage is calculated;

[0030] S342. Take the corrected predicted voltage at the current moment, compare it with the original preset voltage, calculate the deviation, and convert the voltage deviation into a power correction amount according to the proportional coefficient.

[0031] As a preferred embodiment, the method of detecting the output voltage by using a sensor and a resistor, and adjusting the switching time ratio after comparing the signal difference to stabilize the voltage includes the following steps:

[0032] S41, collecting the output voltage of the electronic transformer, removing high-frequency noise through a filter circuit, and converting the signal into a voltage value readable by the controller;

[0033] S42, comparing the detected actual voltage with the preset target voltage, calculating the difference between the two as an error signal, and proportionally adjusting the on and off times of the switching element according to the magnitude, duration, and change rate of the error signal;

[0034] S43. Send the adjusted switch timing parameters to the electronic transformer through the drive circuit, and continuously detect the output voltage and repeat the above steps to form a real-time closed-loop control to ensure that the voltage fluctuation is stable within the allowable range.

[0035] The beneficial effects of the present invention are:

[0036] 1. This invention achieves advanced prediction of the voltage state in the microwave oven operating environment by constructing a high-precision voltage-time relationship model that integrates grid fluctuation patterns with appliance load characteristics. The constructed prediction curve can cover more than 95% of the voltage fluctuation energy, significantly improving the reliability of voltage prediction. This dual-layer modeling mechanism of trend and cycle enables the prediction results to reflect the long-term evolution of the voltage environment and predict the peak value of periodic voltage fluctuations, providing a high-confidence reference voltage for feedforward control of microwave oven power parameters.

[0037] 2. The present invention compares the predicted voltage with the actual load state, superimposes the exponential decay correction term caused by the start and stop of the appliance in real time, dynamically adjusts the heating power parameters, and forms a feedforward compensation mechanism. The synergistic effect of this prediction and correction enables the electronic transformer to adapt to grid fluctuations in advance, further correct the predicted voltage environment, and optimize the control logic under different voltage scenarios. This allows the electronic transformer to predict the grid state before the microwave oven is started, adjust the switching timing parameters in advance, reduce the power deviation caused by voltage mutations, and reduce the thermal stress of electronic components caused by frequent adjustments, while also extending the service life of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0039] Figure 1 The present invention is a flowchart of a method for controlling voltage transformation of an electronic transformer for a microwave oven according to an embodiment of the present invention. DETAILED DESCRIPTION

[0040] To further illustrate each embodiment, the present invention provides drawings, which are part of the disclosure of the present invention. They are mainly used to illustrate the embodiments and can be used in conjunction with the relevant descriptions in the specification to explain the operating principles of the embodiments. By referring to these contents, ordinary technicians in this field should be able to understand other possible implementation methods and advantages of the present invention. The components in the figures are not drawn to scale, and similar component symbols are generally used to represent similar components.

[0041] According to an embodiment of the present invention, a voltage transformation control method for an electronic transformer for a microwave oven is provided.

[0042] The present invention will now be further described with reference to the accompanying drawings and specific embodiments. Figure 1 As shown, a voltage transformation control method for an electronic transformer for a microwave oven according to an embodiment of the present invention comprises the following steps:

[0043] S1. Continuously collect voltage data points through sensors, divide them into time periods according to the voltage range, and continuously obtain appliance usage status data;

[0044] Furthermore, continuously collecting voltage data points through sensors, dividing them into time periods according to voltage ranges, and continuously obtaining usage status data of all electrical appliances includes the following steps:

[0045] S11. Continuously collect voltage data from the circuit environment using a voltage sensor and set voltage thresholds to divide time periods into four categories: a steady-state high-voltage period, a standard fluctuation period, a low-voltage risk period, and a recovery transition period. Within each voltage range, the time periods are further subdivided based on the frequency and amplitude of load power mutations.

[0046] It should be noted that the voltage during the steady-state high-voltage period is 232V±5V, the voltage during the standard fluctuation period is 218V±8V, the voltage during the low-voltage risk period is 195V±12V, and the voltage during the recovery transition period is 208V±10V;

[0047] During the steady-state high-voltage period, if the load power mutation frequency is ≤2 times / minute and the amplitude is ≤15%, it is marked as a "high-voltage stable period"; if the frequency is >5 times / minute or the amplitude is >25%, it is marked as a "high-voltage disturbance period"; during the standard fluctuation period, the amplitude is 10% and the frequency is 3 times / minute as the threshold. If it is lower than the threshold, it is a "regular fluctuation period", otherwise it is an "abnormal fluctuation period"; during the low-voltage risk period, if the power mutation amplitude is ≥20% or the frequency is ≥4 times / minute, it is marked as a "low-voltage alarm period", otherwise it is a "low-voltage buffer period"; during the recovery transition period, if the amplitude is <15% and the frequency is ≤3 times / minute, it is regarded as a "recovery stable period", and if the amplitude suddenly increases by more than 20%, it is marked as an "abnormal recovery period".

[0048] S12. Obtain the usage status of all electrical appliances through smart switches, including the switch status and standby status of the appliances

[0049] S2. Establish a voltage-time relationship model and fit the daily cycle fluctuation to generate a predicted voltage fluctuation curve;

[0050] Furthermore, establishing a voltage-time relationship model and fitting the daily cycle fluctuation to generate a predicted voltage fluctuation curve includes the following steps:

[0051] S21. Set the window width to 5 minutes and use a sliding window to calculate the smoothed baseline voltage of the collected voltage data to eliminate short-term fluctuations including sudden loads on electrical appliances and retain the long-term trend of the power grid.

[0052] S22. Perform Fourier analysis on the voltage residual after detrending to extract the daily cycle and its harmonic components. Use the least squares method to fit the harmonic amplitude and phase to ensure that the fitting curve covers more than 95% of the voltage fluctuation energy and ignore high-frequency noise.

[0053] S23, adding an exponential decay correction term to the baseline voltage based on the start and stop times of the appliance recorded by the intelligent switch;

[0054] S24. Set the interval to 5 minutes and the window length to 1 hour, use the sliding time window to recalculate the baseline and harmonic parameters, and refresh the correction items according to the latest appliance start and stop events, and finally generate a continuous and differentiable prediction curve as the voltage reference for microwave oven power control.

[0055] It should be noted that establishing a voltage-time relationship model and fitting daily cycle fluctuations to generate a predicted voltage fluctuation curve can effectively filter out short-term interference in voltage data, accurately capture the long-term change trend and daily cycle law of the power grid, and ensure that the curve highly fits the actual voltage fluctuations. At the same time, it can also dynamically adjust the prediction results in combination with the start and stop of electrical appliances.

[0056] Furthermore, a 5-minute interval and a 1-hour window length are set, and a sliding time window is used to recalculate the baseline and harmonic parameters. At the same time, the correction items are updated according to the latest appliance start and stop events. Finally, a continuously differentiable prediction curve is generated as the voltage reference for microwave oven power control. The formula of the prediction curve is:

[0057]

[0058] Among them, V P is the predicted voltage value, V b is the baseline voltage component, which is calculated by moving average of 5-minute sliding window. k is the amplitude of the kth harmonic, φ k is the phase of the kth harmonic, and the harmonic amplitude and harmonic phase are determined by least square fitting, T is the daily cycle, and the daily cycle is fixed at 24h, β m is the voltage offset amplitude of the mth load mutation, which is calculated by the measured voltage deviation when the appliance starts and stops, γ m is the decay rate of the mth mutation, obtained through historical event statistics, τ m is the moment when the mth load mutation occurs, is the attenuation correction term for historical load mutation events.

[0059] S3. Before using the microwave oven, align the usage time point with the voltage fluctuation curve, compare the predicted voltage with the actual voltage under the current usage status of the appliance, and obtain a voltage deviation. Use the obtained voltage deviation to correct the preset heating power parameters, and use the corrected parameters to quickly switch the element to drive the electronic transformer;

[0060] Furthermore, before using the microwave oven, aligning the usage time point with the voltage fluctuation curve, comparing the predicted voltage with the actual voltage of the appliance in the current usage state, obtaining a voltage deviation, using the obtained voltage deviation to correct the preset heating power parameters, and using the corrected parameters to quickly switch the element to drive the electronic transformer includes the following steps:

[0061] S31. Before using the microwave oven, obtain the time point of using the microwave oven, align it with the time axis of the predicted voltage fluctuation curve, and read the predicted voltage value at that moment;

[0062] S32, receiving the intelligent switch to obtain the current usage status of all electrical appliances, extracting the power data of the electrical appliances, and calculating the current total load power increment;

[0063] S33. Compare the current electrical appliance status with the historical benchmark period, identify newly added load devices, and record their start-up time and power;

[0064] S34. Based on the relationship between load power and voltage, dynamically add a correction term to the prediction model to obtain a corrected predicted voltage. Based on the deviation between the corrected predicted voltage and the original preset voltage, calculate a power correction amount according to a proportional coefficient to update the target power of the microwave oven.

[0065] Furthermore, based on the relationship between load power and voltage, a correction term is dynamically added to the prediction model to obtain a corrected predicted voltage. Based on the deviation between the corrected predicted voltage and the original preset voltage, a power correction amount is calculated according to a proportional coefficient. Updating the microwave oven target power includes the following steps:

[0066] S341. Calculate the voltage offset β of the newly added load based on the relationship between load power and voltage m' , and set the decay rate γ based on the device type m' Get the correction items caused by the newly added electrical appliance status This correction term is dynamically added to the original model and the predicted voltage is calculated;

[0067] S342. Take the corrected predicted voltage at the current moment, compare it with the original preset voltage, calculate the deviation, and convert the voltage deviation into a power correction amount according to the proportional coefficient.

[0068] It should be noted that the proportional coefficient is the conversion factor between voltage deviation and power correction, which represents the power adjustment corresponding to unit voltage deviation, and its unit is (W / V). Its core function is to establish a quantitative relationship between voltage fluctuation and power control, and to realize feedforward compensation control. The proportional coefficient is derived based on the physical relationship between voltage and power.

[0069] S35, convert the microwave oven target power into the driving parameters of the electronic transformer and write it into the controller's cache area to ensure that it takes effect immediately when the microwave oven is started

[0070] S4. Detect the output voltage through sensors and resistors, compare the signal differences, and adjust the switching time ratio to stabilize the voltage.

[0071] Furthermore, detecting the output voltage through a sensor and a resistor, comparing the signal difference, and adjusting the switching time ratio to stabilize the voltage include the following steps:

[0072] S41, collecting the output voltage of the electronic transformer, removing high-frequency noise through a filter circuit, and converting the signal into a voltage value readable by the controller;

[0073] S42, comparing the detected actual voltage with the preset target voltage, calculating the difference between the two as an error signal, and proportionally adjusting the on and off times of the switching element according to the magnitude, duration, and change rate of the error signal;

[0074] S43, the adjusted switch timing parameters are sent to the electronic transformer through the drive circuit, and the output voltage is continuously detected and the above steps are repeated to form a real-time closed-loop control to ensure that the voltage fluctuation is stable within the allowable range.

[0075] In summary, the present invention achieves advanced prediction of the voltage state of the microwave oven operating environment by constructing a high-precision voltage-time relationship model and integrating grid fluctuation patterns with appliance load characteristics. The constructed prediction curve can cover more than 95% of the voltage fluctuation energy, thereby significantly improving the reliability of voltage prediction. This dual-layer modeling mechanism of trend and cycle enables the prediction results to not only reflect the long-term evolution of the voltage environment but also predict the peak of periodic voltage fluctuations, providing a high-confidence reference voltage for the feedforward control of microwave oven power parameters. The present invention compares the predicted voltage with the actual load state, superimposes the exponential decay correction term caused by appliance startup and shutdown in real time, and dynamically adjusts the heating power parameters to form a feedforward compensation mechanism. This synergistic effect of prediction and correction enables the electronic transformer to adapt to grid fluctuations in advance, further corrects the predicted voltage environment, and optimizes the control logic under different voltage scenarios. This allows the electronic transformer to predict the grid state before the microwave oven is started and adjust the switching timing parameters in advance, reducing power deviation caused by voltage mutations, while also reducing the thermal stress of electronic components caused by frequent adjustments, and also extending the service life of the equipment.

[0076] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for controlling voltage conversion of an electronic transformer for a microwave oven, characterized in that: The method comprises the following steps: S1. Continuously collect voltage data points through sensors, divide them into time periods according to the voltage range, and continuously obtain appliance usage status data; S2. Establish a voltage-time relationship model and fit the daily cycle fluctuation to generate a predicted voltage fluctuation curve; S3. Before using the microwave oven, align the usage time point with the voltage fluctuation curve, compare the predicted voltage with the actual voltage under the current usage status of the appliance, and obtain a voltage deviation. Use the obtained voltage deviation to correct the preset heating power parameters, and use the corrected parameters to quickly switch the element to drive the electronic transformer; S4. Detect the output voltage through sensors and resistors, compare the signal differences, and adjust the switching time ratio to stabilize the voltage.

2. The voltage transformation control method of an electronic transformer for a microwave oven according to claim 1, characterized in that: The method of continuously collecting voltage data points through sensors, dividing the data into time periods according to the voltage range, and continuously obtaining the usage status data of all electrical appliances includes the following steps: S11. Continuously collect voltage data from the circuit environment using a voltage sensor and set voltage thresholds to divide time periods into four categories: a steady-state high-voltage period, a standard fluctuation period, a low-voltage risk period, and a recovery transition period. Within each voltage range, the time periods are further subdivided based on the frequency and amplitude of load power mutations. S12. Obtain the usage status of all electrical appliances through the intelligent switch, including the on / off status and standby status of the electrical appliances.

3. The voltage transformation control method of an electronic transformer for a microwave oven according to claim 1, characterized in that: The establishment of the voltage-time relationship model and the fitting of the daily cycle fluctuation to generate the predicted voltage fluctuation curve include the following steps: S21. Set the window width to 5 minutes and use a sliding window to calculate the smoothed baseline voltage of the collected voltage data to eliminate short-term fluctuations including sudden loads on electrical appliances and retain the long-term trend of the power grid. S22. Perform Fourier analysis on the voltage residual after detrending to extract the daily cycle and its harmonic components. Use the least squares method to fit the harmonic amplitude and phase to ensure that the fitting curve covers more than 95% of the voltage fluctuation energy and ignore high-frequency noise. S23, adding an exponential decay correction term to the baseline voltage based on the start and stop times of the appliance recorded by the intelligent switch; S24. Set the interval to 5 minutes and the window length to 1 hour, use the sliding time window to recalculate the baseline and harmonic parameters, and refresh the correction items according to the latest appliance start and stop events, and finally generate a continuous and differentiable prediction curve as the voltage reference for microwave oven power control.

4. The voltage transformation control method of an electronic transformer for a microwave oven according to claim 3, characterized in that: The interval is set to 5 minutes, the window length is 1 hour, and the baseline and harmonic parameters are recalculated using a sliding time window. At the same time, the correction items are refreshed according to the latest appliance start and stop events, and finally a continuous and differentiable prediction curve is generated as the voltage reference for microwave oven power control. The formula of the prediction curve is: Among them, V P is the predicted voltage value, V b is the baseline voltage component, which is calculated by moving average of 5-minute sliding window. k is the amplitude of the kth harmonic, φ k is the phase of the kth harmonic, and the harmonic amplitude and harmonic phase are determined by least square fitting, T is the daily cycle, and the daily cycle is fixed at 24h, β m is the voltage offset amplitude of the mth load mutation, which is calculated by the measured voltage deviation when the appliance starts and stops, γ m is the decay rate of the mth mutation, obtained through historical event statistics, τ m is the moment when the mth load mutation occurs, is the attenuation correction term for historical load mutation events.

5. The voltage transformation control method of an electronic transformer for a microwave oven according to claim 1, characterized in that: Before using the microwave oven, aligning the usage time point with the voltage fluctuation curve, comparing the predicted voltage with the actual voltage of the appliance in the current usage state to obtain a voltage deviation, using the obtained voltage deviation to correct a preset heating power parameter, and using the corrected parameter to quickly switch the element to drive the electronic transformer includes the following steps: S31. Before using the microwave oven, obtain the time point of using the microwave oven, align it with the time axis of the predicted voltage fluctuation curve, and read the predicted voltage value at that moment; S32, receiving the intelligent switch to obtain the current usage status of all electrical appliances, extracting the power data of the electrical appliances, and calculating the current total load power increment; S33. Compare the current electrical appliance status with the historical benchmark period, identify newly added load devices, and record their start-up time and power; S34. Based on the relationship between load power and voltage, dynamically add a correction term to the prediction model to obtain a corrected predicted voltage. Based on the deviation between the corrected predicted voltage and the original preset voltage, calculate a power correction amount according to a proportional coefficient to update the target power of the microwave oven. S35. Convert the microwave oven target power into driving parameters of the electronic transformer and write the parameters into the cache area of ​​the controller to ensure that the parameters take effect immediately when the microwave oven is started.

6. The voltage transformation control method of an electronic transformer for a microwave oven according to claim 5, characterized in that: The method of dynamically adding a correction term to the prediction model based on the relationship between load power and voltage to obtain a corrected predicted voltage, calculating a power correction amount based on a proportional coefficient according to the deviation between the corrected predicted voltage and the original preset voltage, and updating the microwave oven target power includes the following steps: S341. Calculate the voltage offset β of the newly added load based on the relationship between load power and voltage m' , and set the decay rate γ based on the device type m' Get the correction items caused by the newly added electrical appliance status This correction term is dynamically added to the original model and the predicted voltage is calculated; S342. Take the corrected predicted voltage at the current moment, compare it with the original preset voltage, calculate the deviation, and convert the voltage deviation into a power correction amount according to the proportional coefficient.

7. The voltage transformation control method of an electronic transformer for a microwave oven according to claim 1, characterized in that: The method of detecting the output voltage by using a sensor and a resistor, and adjusting the switching time ratio after comparing the signal difference to stabilize the voltage includes the following steps: S41, collecting the output voltage of the electronic transformer, removing high-frequency noise through a filter circuit, and converting the signal into a voltage value readable by the controller; S42, comparing the detected actual voltage with the preset target voltage, calculating the difference between the two as an error signal, and proportionally adjusting the on and off times of the switching element according to the magnitude, duration, and change rate of the error signal; S43. Send the adjusted switch timing parameters to the electronic transformer through the drive circuit, and continuously detect the output voltage and repeat the above steps to form a real-time closed-loop control to ensure that the voltage fluctuation is stable within the allowable range.

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