Power-oriented electric propulsion supply self-learning closed-loop control system and method

Abstract

The application provides a power-oriented electric propulsion gas supply self-learning closed-loop control system and method, which is composed of a storage and supply unit, a power processing unit, a control unit and an electric thruster; the working current of the electric thruster is monitored, if the current is lower than the lower limit, the valve is opened to supplement the gas for a certain time length, the current value of the electric thruster working maximum 3s sliding average within a certain time length is monitored after the gas supplement is completed, and the gas supplement time length is adjusted according to the maximum value with a certain step distance, and the step distance is corrected according to the number of adjustments. The application solves the working condition drift problem of the electric thruster caused by the state change of the spacecraft or the erosion of the thruster itself in the prior art by using the multi-stage self-learning adjustment mode, under the premise of limited on-orbit computing resources, and collects the working parameters for data accumulation and open-loop control of the fault mode.

Description

Technical Field

[0001] This invention relates to the field of space electric propulsion system technology, and more specifically, to a power-oriented electric propulsion gas supply self-learning closed-loop control system and method. Background Technology

[0002] Compared to chemical propulsion systems, electric propulsion systems accelerate particles using electrical energy and are not limited by propellant energy density, thus offering advantages such as high specific impulse, long lifespan, low thrust, and high control precision. However, after a period of accumulated ignition, particle erosion of the thruster walls causes channel deformation, affecting plasma distribution and altering the number of electrons reaching the thruster anode. This leads to thruster condition drift during operation, characterized by a slow, irreversible change in the thruster discharge current under the same operating conditions. After this drift, the thruster operates outside its rated conditions for an extended period, impacting its lifespan. Simultaneously, this change affects power, thrust, and specific impulse, impacting orbital control efficiency and even the spacecraft's lifespan.

[0003] Typical electric propulsion and energy storage systems employ closed-loop control schemes. However, traditional schemes rely on pressure sensors for closed-loop pressure control, using pressure as an intermediate variable to regulate thrust flow. This approach fails to directly control the thruster's operating conditions. With prolonged operation and shifts in operating conditions, the previously set closed-loop control pressure threshold may no longer meet the thruster's rated power requirements. This results in the thruster operating outside its rated condition for extended periods, impacting its lifespan and consequently affecting orbit control efficiency and even the spacecraft's lifespan. While similar problems on the ground can be solved with complex control algorithms (such as PID control), these algorithms typically involve floating-point calculations involving multiplication, division, differentiation, and integration. These algorithms cannot be implemented on satellites, where computing resources are often limited. Therefore, manual monitoring is necessary, requiring timely adjustments to the pressure threshold upon detecting operating condition drift, consuming significant manpower.

[0004] The electric propulsion flow control method proposed in patent application CN119987441A relies on a pressure sensor, and the system is heavy, making the pressure sensor prone to single-point failure. The electric propulsion flow control method proposed in patent application CN118466224A also relies on a pressure sensor. Patent application CN108279126A proposes a method for determining on-orbit electric propulsion flow based on ground flow test data, but this system relies on a pressure sensor and a temperature controller. Patent application CN114962198A proposes an anode current-propellant flow closed-loop control method, which uses upper and lower limits of the anode current for judgment. This method is only a backup scheme when the pressure sensor fails. Although it has a delayed judgment, it relies too heavily on the stable operation of the thruster, resulting in poor robustness. When the thruster oscillates during operation, the valve will repeatedly open and close multiple times in a very short period of time, even coupling with the thruster's own oscillation, leading to a significant increase in the overall system oscillation. Summary of the Invention

[0005] To address the shortcomings of existing technologies, the purpose of this invention is to provide a power-oriented electric propulsion air supply self-learning closed-loop control system and method.

[0006] The power-oriented electric propulsion gas supply self-learning closed-loop control system provided by the present invention includes: a storage and supply unit, a power processing unit, a control unit, an electric thruster, and a current sensor;

[0007] The storage and supply unit is connected to the electric thruster and is used to supply propellant to it; The power processing unit is connected to the electric thruster and is used to supply power to it; The control unit is connected to the storage and power supply unit and the power processing unit respectively, and is used to control the storage and power supply unit and the power processing unit and collect operating parameters. The current sensor is connected to the control unit; The storage and supply unit includes a propellant tank, a pressure regulating module, and a valve module connected in sequence. The pressure regulating module is used to regulate high-pressure propellant to low-pressure propellant, and it includes a self-locking valve and a pressure reducing valve. The valve module is used to supply low-pressure propellant to the electric thruster, and includes two solenoid valves connected in series and a buffer gas cylinder disposed between the two solenoid valves. The electric thruster is a Hall thruster, which includes a cathode and a thruster anode, and its air circuit is equipped with a built-in solenoid valve. The control unit is configured to: monitor the operating current of the electric thruster; when the operating current is lower than a set lower limit, control the solenoid valve in the valve module to open for air replenishment; when the actual opening time reaches the set opening time, control the solenoid valve to close to stop air replenishment; after stopping air replenishment, collect the operating current and record the maximum 3-second moving average current value within the set collection time; adjust the opening time with a set adaptive adjustment step size based on the comparison result of the maximum 3-second moving average current value with the set lower limit and upper limit of the current after air replenishment; and record the actual opening time and actual closing time of the valve module.

[0008] Preferably, the control unit is further configured to: record the continuous adjustment direction of the opening duration; if the continuous adjustment direction is the same and the cumulative number reaches the set upper limit of the number of adjustments, and the current adaptive adjustment step size is greater than the set step size correction scale, then the adaptive adjustment step size is reduced by the step size correction scale, and the cumulative number is cleared to zero.

[0009] Preferably, it also includes an open-loop control strategy for activation when the current sensor fails; The open-loop control strategy includes: controlling the valve's closing duration based on the average closing duration recorded in historical data, controlling the valve's opening duration based on the opening duration recorded in historical data, and adjusting the opening duration in an open loop according to the adjustment frequency and adjustment amount of the opening duration recorded in historical data.

[0010] Preferably, the current sensor is a sensor independently installed at the output or input end of the power processing unit, or a sensor built into the power processing unit for monitoring the bus input current or anode current.

[0011] Preferably, when the operating current is the anode current, the lower limit of the operating current is the lower limit of the anode current; when the operating current is the bus current, the lower limit of the operating current is the lower limit of the bus current.

[0012] Preferably, the system configuration supports multi-level self-learning, including at least one level of fine-tuning of the step size correction scale.

[0013] The power-oriented electric propulsion air supply self-learning closed-loop control method provided by the present invention includes: Step 1: Set parameters, including the lower limit of working current, the lower limit of current after gas replenishment, the upper limit of current after gas replenishment, the current acquisition time after gas replenishment, the valve opening time, the adaptive adjustment step size, the upper limit of adaptive adjustment times, and the step size correction scale. Step 2: Collect and record the operating current, actual valve opening time, actual valve closing time, and number of adaptive adjustments; Step 3: Continuously determine whether the operating current is lower than the lower limit of the operating current. When the operating current is lower than the lower limit of the operating current, open the valve to replenish gas. When the actual opening time reaches the valve opening time, close the valve to stop replenishing gas. Step 4: Collect the working current again, record the maximum 3-second moving average current value within the current collection time after gas replenishment, and compare and adjust it with the lower limit and upper limit of the current after gas replenishment. Step 5: Record the average value of the valve closing time over the most recent times, and record the adjustment frequency and adjustment amount of the valve opening time.

[0014] Preferably, if the maximum 3-second moving average current value is greater than or equal to the lower limit of the current after gas replenishment and less than or equal to the upper limit of the current after gas replenishment, the valve opening duration remains unchanged and the number of adaptive adjustments is reset to zero.

[0015] Preferably, if the maximum 3-second moving average current value is less than the lower limit of the current after gas replenishment, the valve opening duration is increased by the adaptive adjustment step; if the last adjustment of the valve opening duration was an increase, the adaptive adjustment count is incremented by one; then it is determined whether the adaptive adjustment count exceeds the upper limit of the adaptive adjustment count. If it does, and the adaptive adjustment step is greater than the step correction scale, the adaptive adjustment step is reduced by the step correction scale, and the adaptive adjustment count is reset to zero.

[0016] Preferably, if the maximum 3-second moving average current value is greater than the upper limit of the current after gas replenishment, the valve opening duration is reduced by the adaptive adjustment step; if the last adjustment of the valve opening duration was a reduction, the adaptive adjustment count is incremented by one; then it is determined whether the adaptive adjustment count exceeds the upper limit of the adaptive adjustment count. If it does, and the adaptive adjustment step is greater than the step correction scale, the adaptive adjustment step is reduced by the step correction scale, and the adaptive adjustment count is reset to zero.

[0017] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention has a self-learning function, which can promptly correct the electric propulsion condition drift caused by different overall satellite status (such as position) or thruster working erosion. (2) The air supply system is directly connected to the thruster power and can accurately and automatically adjust the air supply in real time to maintain the long-term stable operation of the thruster. (3) The system does not rely on the use of pressure sensors, which greatly reduces the weight of the system, reduces the launch cost, and improves the reliability of the system; (4) The control logic also has an open-loop control strategy as a backup, which improves the reliability of the system. If the current sensor is damaged, the current acquisition time after gas replenishment and the opening time of the BangBang valve obtained during the early learning process can be used. This time can ensure that the system can work stably for a certain period of time. Attached Figure Description

[0018] Other features, objects, and advantages of the present invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1 This is a system schematic diagram provided in Embodiment 1 of the present invention; Figure 2 A schematic diagram of the storage and supply unit provided in an embodiment of the present invention; Figure 3 This is a flowchart of the control strategy of the present invention; Figure 4 This is a system schematic diagram provided for Embodiment 2 of the present invention; Figure 5 This is a system schematic diagram provided in Embodiment 3 of the present invention; Figure 6 A flowchart of the control strategy provided in Embodiment 4 of the present invention. Detailed Implementation

[0019] The present invention will now be described in detail with reference to specific embodiments. These embodiments will help those skilled in the art to further understand the present invention, but do not limit the invention in any way. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all fall within the protection scope of the present invention.

[0020] Example 1 The hardware design of this embodiment is as follows: Figure 1 As shown, it consists of five parts: a power supply unit, a power processing unit, a control unit, an electric thruster, and a current sensor. The power supply unit is as follows: Figure 2 As shown, the system includes a xenon cylinder, a pressure regulating module, a Bang-Bang valve module, and a thruster module. The xenon cylinder in the storage and supply unit stores xenon gas. The pressure regulating module reduces the high-pressure xenon gas to low-pressure xenon gas. The Bang-Bang valve module converts the low-pressure xenon gas into a xenon gas flow of a specified flow rate, which is then supplied to the electric thruster. The power processing unit supplies power to the electric thruster. The control unit is connected to the storage and supply unit for control and power supply, and collects various operating parameters. A current sensor collects the anode power supply output current and transmits it to the control unit. The control unit is connected to the power processing unit for control and also collects various operating parameters. The control strategy of this invention is as follows: Figure 3 As shown: (1) Set parameters: lower limit of anode current IL, lower limit of current after gas replenishment IfillL, upper limit of current after gas replenishment IfillH, current acquisition time after gas replenishment Tcol, opening time of BangBang valve Topen, adaptive adjustment step size Tstep, upper limit of adaptive adjustment times NH, step size correction scale Dstep. (2) Collect and record the anode current, the actual opening time of the BangBang valve, the actual closing time of the BangBang valve, and the number of adaptive adjustments; (3) Procedure: Continuously check if the anode current is lower than IL. When the current is lower than IL, open the BangBang valve to replenish gas. When the actual opening time reaches Topen, close the BangBang valve to stop replenishing gas. Collect the output current or input current again, record the maximum 3s moving average current value in Tcol, and compare it with IfillL and IfillH: (a) If the maximum 3s moving average current value is greater than or equal to IL and less than or equal to IH, then Topen remains unchanged, the number of adaptive adjustments is reset to zero, and the initial judgment is entered. At the same time, the actual closing time of the BangBang valve is recorded. (b) If the maximum 3s moving average current value is less than IfillL, then Topen increases Tstep; if the last adjustment of Topen was an increase, then the number of adaptive adjustments is increased by 1; then it is determined whether the number of adaptive adjustments exceeds NH. If it exceeds NH and Tstep>Dstep, then Tstep decreases Dstep, the number of adaptive adjustments is cleared to zero, and the initial judgment is entered. At the same time, the actual closing time of the BangBang valve is recorded. (c) If the maximum 3s moving average current value is greater than IfillH, then Topen decreases Tstep; if the last adjustment of Topen was to decrease, then the number of adaptive adjustments is increased by 1; then it is determined whether the number of adaptive adjustments exceeds NH. If it exceeds NH and Tstep>Dstep, then Tstep decreases Dstep, the number of adaptive adjustments is cleared to zero, and the initial judgment is entered. At the same time, the actual closing time of the BangBang valve is recorded. (4) Record the average value of the BangBang valve closing time Tclose in recent times, and record the adjustment frequency and adjustment amount of Topen.

[0021] Example 2 The hardware design of this implementation use case is as follows: Figure 4 As shown, it consists of five parts: a power supply unit, a power processing unit, a control unit, an electric thruster, and a current sensor. The power supply unit is as follows: Figure 2As shown, the system includes a xenon cylinder, a pressure regulating module, a Bang-Bang valve module, and a thruster module. The xenon cylinder in the storage and supply unit stores xenon gas. The pressure regulating module reduces the high-pressure xenon gas to a low-pressure level. The Bang-Bang valve module converts the low-pressure xenon gas into a xenon gas flow of a specified flow rate, which is then supplied to the electric thruster. The power processing unit supplies power to the electric thruster. The control unit is connected to the storage and supply unit for control and power supply, and collects various operating parameters. A current sensor collects the bus input current and transmits it to the control unit. The control unit is connected to the power processing unit for control and also collects various operating parameters. The control strategy of this invention is as follows: Figure 3 As shown: (1) Set parameters: lower limit of bus current IL, lower limit of current after gas replenishment IfillL, upper limit of current after gas replenishment IfillH, current acquisition time after gas replenishment Tcol, opening time of BangBang valve Topen, adaptive adjustment step Tstep, upper limit of adaptive adjustment times NH, step correction scale Dstep. (2) Collect and record bus current, actual opening time of BangBang valve, actual closing time of BangBang valve, and number of adaptive adjustments; (3) Procedure: Continuously check whether the bus current is lower than IL. When the operating current is lower than IL, open the BangBang valve to replenish air. When the actual opening time reaches Topen, close the BangBang valve to stop replenishing air. Collect the output current or input current again, record the maximum 3s moving average current value in Tcol, and compare it with IfillL and IfillH: (a) If the maximum 3s moving average current value is greater than or equal to IL and less than or equal to IH, then Topen remains unchanged, the number of adaptive adjustments is reset to zero, and the initial judgment is entered. At the same time, the actual closing time of the BangBang valve is recorded. (b) If the maximum 3-second moving average current value is less than IfillL, then Topen is increased by Tstep. If the last adjustment of Topen was an increase, then the number of adaptive adjustments is incremented by 1. Then it is determined whether the number of adaptive adjustments exceeds NH. If it exceeds NH and Tstep > Dstep, then Tstep is decreased by Dstep, the number of adaptive adjustments is reset to zero, and the initial judgment is returned. At the same time, the actual closing time of the BangBang valve is recorded. (c) If the maximum 3-second moving average current value is greater than IfillH, then Topen decreases Tstep. If the last adjustment of Topen was a decrease, then the number of adaptive adjustments is incremented by 1. Then it is determined whether the number of adaptive adjustments exceeds NH. If it exceeds NH and Tstep > Dstep, then Tstep decreases Dstep, the number of adaptive adjustments is reset to zero, and the initial judgment is returned. At the same time, the actual closing time of the BangBang valve is recorded.

[0022] (4) Record the average value of the BangBang valve closing time (Tclose) over the most recent times, and record the adjustment frequency and adjustment amount of Topen. Example 3 The hardware design of this implementation use case is as follows: Figure 5 As shown, it consists of four parts: a power storage unit, a power processing unit, a control unit, and an electric thruster. The current sensor directly uses the power processing unit to monitor the bus input current or anode current. The power storage unit is as follows... Figure 2 As shown, the system includes a xenon cylinder, a pressure regulating module, a Bang-Bang valve module, and a thruster module. The xenon cylinder in the storage and supply unit stores xenon gas. The pressure regulating module reduces the high-pressure xenon gas to a low-pressure level. The Bang-Bang valve module converts the low-pressure xenon gas into a xenon gas flow of a specified flow rate, which is then supplied to the electric thruster. The power processing unit supplies power to the electric thruster. The control unit is connected to the storage and supply unit for control and power supply, and collects various operating parameters. A current sensor collects the bus input current and transmits it to the control unit. The control unit is connected to the power processing unit for control and also collects various operating parameters. The control strategy of this invention is as follows: Figure 3 As shown: (1) Set parameters: lower limit of working current IL, lower limit of current after gas replenishment IfillL, upper limit of current after gas replenishment IfillH, current acquisition time after gas replenishment Tcol, opening time of BangBang valve Topen, adaptive adjustment step size Tstep, upper limit of adaptive adjustment times NH, step size correction scale Dstep. (2) Collect and record the output current or input current, the actual opening time of the BangBang valve, the actual closing time of the BangBang valve, and the number of adaptive adjustments; (3) Procedure: Continuously check if the operating current is lower than IL. When the operating current is lower than IL, open the BangBang valve to replenish gas. When the actual opening time reaches Topen, close the BangBang valve to stop replenishing gas. Collect the output current or input current again, record the maximum 3s moving average current value in Tcol, and compare it with IfillL and IfillH: (a) If the maximum 3s moving average current value is greater than or equal to IL and less than or equal to IH, then Topen remains unchanged, the number of adaptive adjustments is reset to zero, and the initial judgment is entered. At the same time, the actual closing time of the BangBang valve is recorded. (b) If the maximum 3-second moving average current value is less than IfillL, then Topen is increased by Tstep. If the last adjustment of Topen was an increase, then the number of adaptive adjustments is incremented by 1. Then it is determined whether the number of adaptive adjustments exceeds NH. If it exceeds NH and Tstep > Dstep, then Tstep is decreased by Dstep, the number of adaptive adjustments is reset to zero, and the initial judgment is returned. At the same time, the actual closing time of the BangBang valve is recorded. (c) If the maximum 3-second moving average current value is greater than IfillH, then Topen decreases Tstep. If the last adjustment of Topen was a decrease, then the number of adaptive adjustments is incremented by 1. Then it is determined whether the number of adaptive adjustments exceeds NH. If it exceeds NH and Tstep > Dstep, then Tstep decreases Dstep, the number of adaptive adjustments is reset to zero, and the initial judgment is returned. At the same time, the actual closing time of the BangBang valve is recorded.

[0023] (4) Record the average value of the BangBang valve closing time Tclose in recent times, and record the adjustment frequency and adjustment amount of Topen.

[0024] Example 4 This implementation case is a backup scenario, used when all current sensors fail. The control strategy in this situation is as follows: Figure 6 As shown: The BangBang valve is opened to replenish gas, and a timer starts simultaneously. Gas replenishment stops when the replenishment time reaches Topen, and the system waits for Tclose. Simultaneously, Topen needs to be adjusted in an open-loop manner based on the previously recorded Topen adjustment frequency and amount. This scheme is an open-loop control system, a backup plan in case all current sensors in the system fail, further improving system reliability.

[0025] Those skilled in the art will understand that, in addition to implementing the system, apparatus, and their modules provided by this invention in purely computer-readable program code, the same program can be implemented in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers by logically programming the method steps. Therefore, the system, apparatus, and their modules provided by this invention can be considered a hardware component, and the modules included therein for implementing various programs can also be considered structures within the hardware component; alternatively, modules for implementing various functions can be considered both software programs implementing the method and structures within the hardware component.

[0026] Specific embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the specific embodiments described above, and those skilled in the art can make various changes or modifications within the scope of the claims, which do not affect the essence of the present invention. Unless otherwise specified, the embodiments and features described in this application can be arbitrarily combined with each other.

Claims

1. A power-oriented electric propulsion air supply self-learning closed-loop control system, characterized in that, include: Storage and supply unit, power processing unit, control unit, electric thruster and current sensor; The storage and supply unit is connected to the electric thruster and is used to supply propellant to it; The power processing unit is connected to the electric thruster and is used to supply power to it; The control unit is connected to the storage and power supply unit and the power processing unit respectively, and is used to control the storage and power supply unit and the power processing unit and collect operating parameters. The current sensor is connected to the control unit; The storage and supply unit includes a propellant tank, a pressure regulating module, and a valve module connected in sequence. The pressure regulating module is used to regulate high-pressure propellant to low-pressure propellant, and it includes a self-locking valve and a pressure reducing valve. The valve module is used to supply low-pressure propellant to the electric thruster, and includes two solenoid valves connected in series and a buffer gas cylinder disposed between the two solenoid valves. The electric thruster is a Hall thruster, which includes a cathode and a thruster anode, and its air circuit is equipped with a built-in solenoid valve. The control unit is configured to: monitor the operating current of the electric thruster; when the operating current is lower than a set lower limit, control the solenoid valve in the valve module to open for air replenishment; when the actual opening time reaches the set opening time, control the solenoid valve to close to stop air replenishment; after stopping air replenishment, collect the operating current and record the maximum 3-second moving average current value within the set collection time; adjust the opening time with a set adaptive adjustment step size based on the comparison result of the maximum 3-second moving average current value with the set lower limit and upper limit of the current after air replenishment; and record the actual opening time and actual closing time of the valve module.

2. The power-oriented electric propulsion air supply self-learning closed-loop control system according to claim 1, characterized in that, The control unit is further configured to: record the continuous adjustment direction of the opening duration; if the continuous adjustment direction is the same and the cumulative number reaches the set adjustment number limit, and the current adaptive adjustment step size is greater than the set step size correction scale, then reduce the adaptive adjustment step size by the step size correction scale and clear the cumulative number of times.

3. The power-oriented electric propulsion air supply self-learning closed-loop control system according to claim 1, characterized in that, It also includes an open-loop control strategy, which is enabled when the current sensor fails; The open-loop control strategy includes: controlling the valve's closing duration based on the average closing duration recorded in historical data, controlling the valve's opening duration based on the opening duration recorded in historical data, and adjusting the opening duration in an open loop according to the adjustment frequency and adjustment amount of the opening duration recorded in historical data.

4. The power-oriented electric propulsion air supply self-learning closed-loop control system according to claim 1, characterized in that, The current sensor is either a sensor independently installed at the output or input end of the power processing unit, or a sensor built into the power processing unit for monitoring the bus input current or anode current.

5. The power-oriented electric propulsion air supply self-learning closed-loop control system according to claim 1, characterized in that, When the operating current is the anode current, the lower limit of the operating current is the lower limit of the anode current; when the operating current is the bus current, the lower limit of the operating current is the lower limit of the bus current.

6. The power-oriented electric propulsion air supply self-learning closed-loop control system according to claim 1, characterized in that, The system configuration supports multi-level self-learning, including at least one level of fine-tuning of the step size correction scale.

7. A control method for a power-oriented electric propulsion air supply self-learning closed-loop control system based on any one of claims 1 to 6, characterized in that, include: Step 1: Set parameters, including the lower limit of working current, the lower limit of current after gas replenishment, the upper limit of current after gas replenishment, the current acquisition time after gas replenishment, the valve opening time, the adaptive adjustment step size, the upper limit of adaptive adjustment times, and the step size correction scale. Step 2: Collect and record the operating current, actual valve opening time, actual valve closing time, and number of adaptive adjustments; Step 3: Continuously determine whether the operating current is lower than the lower limit of the operating current. When the operating current is lower than the lower limit of the operating current, open the valve to replenish gas. When the actual opening time reaches the valve opening time, close the valve to stop replenishing gas. Step 4: Collect the working current again, record the maximum 3-second moving average current value within the current collection time after gas replenishment, and compare and adjust it with the lower limit and upper limit of the current after gas replenishment. Step 5: Record the average value of the valve closing time over the most recent times, and record the adjustment frequency and adjustment amount of the valve opening time.

8. The power-oriented electric propulsion air supply self-learning closed-loop control method according to claim 7, characterized in that, If the maximum 3-second moving average current value is greater than or equal to the lower limit of the current after gas replenishment and less than or equal to the upper limit of the current after gas replenishment, then the valve opening duration remains unchanged and the number of adaptive adjustments is reset to zero.

9. The power-oriented electric propulsion air supply self-learning closed-loop control method according to claim 7, characterized in that, If the maximum 3-second moving average current value is less than the lower limit of the current after gas replenishment, the valve opening duration is increased by the adaptive adjustment step. If the last adjustment of the valve opening duration was to increase, the adaptive adjustment count is incremented by one. Then, it is determined whether the adaptive adjustment count exceeds the upper limit of the adaptive adjustment count. If it does, and the adaptive adjustment step is greater than the step correction scale, the adaptive adjustment step is reduced by the step correction scale, and the adaptive adjustment count is reset to zero.

10. The power-oriented electric propulsion air supply self-learning closed-loop control method according to claim 7, characterized in that, If the maximum 3-second moving average current value is greater than the upper limit of the current after gas replenishment, the valve opening duration is reduced by the adaptive adjustment step size; if the last adjustment of the valve opening duration was a reduction, the adaptive adjustment count is incremented by one; then it is determined whether the adaptive adjustment count exceeds the upper limit of the adaptive adjustment count. If it does, and the adaptive adjustment step size is greater than the step size correction scale, the adaptive adjustment step size is reduced by the step size correction scale, and the adaptive adjustment count is reset to zero.

Images