FSBB-based super-spiral sliding mode control method and system for optical storage converter

Abstract

The invention discloses an FSBB-based super-spiral sliding mode control method for an optical storage converter, and the method comprises the steps: obtaining a carrier signal and a modulation signal of an FSBB converter, and carrying out the carrier stacking processing of the carrier signal, so as to obtain a stacked carrier signal. The method comprises the following steps: receiving a modulation signal of the FSBB converter, performing segmentation processing on the modulation signal to obtain a segmented modulation signal, performing segmentation amplitude limiting processing on the segmented modulation signal by using a carrier signal to obtain a duty ratio equivalent modulation amount mo of the FSBB converter, and establishing a uniform state equation of the FSBB converter in three modes by using the duty ratio equivalent modulation amount mo. And obtaining an inductive current equivalent value, obtaining a current inner ring reference value of the FSBB converter by using a super-spiral sliding mode controller according to the inductive current equivalent value of the FSBB converter and the unified state equation in the three modes, and carrying out quadruple processing on the current inner ring reference value. The technical problems that in an existing optical storage converter, the photovoltaic input range is narrow, and an energy storage battery cannot be directly hung on a direct current bus can be solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of photovoltaic storage converters, and more specifically, relates to a photovoltaic storage converter super-helical sliding mode control method and system based on four-switch Buck-Boost (FSBB for short). Background Art

[0002] As the demand for electricity reliability in industry and commerce increases, the integration of power equipment is growing rapidly. Photovoltaic and energy storage batteries are coupled through DC bus to the integrated photovoltaic and energy storage converter, which is gradually becoming an important part of the photovoltaic and energy storage system. The front stage of the photovoltaic and energy storage converter is responsible for coordinating the energy flow between the photovoltaic module and the energy storage battery side, and is a necessary link in the energy storage system.

[0003] At present, the front stage of traditional photovoltaic energy storage inverters is usually composed of a Boost circuit based on proportional-integral (PI) or sliding mode control (SMC), which can only boost the photovoltaic input. The energy storage battery cannot be directly connected to the DC bus. At this time, a bidirectional DC / DC link needs to be added to control the energy storage battery.

[0004] However, the control method of the above-mentioned photovoltaic storage converter composed of the Boost circuit and the bidirectional DC / DC link has some non-negligible defects:

[0005] First, the connection method of the boost converter combined with the bidirectional DC / DC link has a limited photovoltaic input range, so the energy storage battery cannot be directly connected to the DC bus, which is not conducive to the flexible stringing of photovoltaic modules, and increases the number of inductors, thereby increasing the space of photovoltaic energy storage equipment;

[0006] Second, the three modes of the FSBB converter have independent state equations, which makes the control design of the sliding mode of the FSBB converter complicated;

[0007] Third, the photovoltaic storage converter under PI control can track the reference maximum power point, but its dynamic response is slow and its robustness is average;

[0008] Fourth, SMC is widely used in the field of photovoltaic storage converters due to its advantages such as good dynamic performance and strong robustness. However, traditional SMC has inherent jitter problems due to the discreteness of the control law, which will affect the effect of sliding mode control and further affect the control accuracy of the photovoltaic storage converter. Summary of the invention

[0009] In view of the above defects or improvement needs of the prior art, the present invention provides a super-helical sliding mode control method and system for a photovoltaic storage converter based on FSBB, which aims to solve the technical problems of narrow photovoltaic input range and inability of energy storage batteries to be directly connected to the DC bus in existing photovoltaic storage converters, as well as the technical problem of complex sliding mode control design of existing FSBB converters, and the technical problems of slow dynamic response and low control accuracy in existing photovoltaic storage converters based on PI and SMC.

[0010] To achieve the above object, according to one aspect of the present invention, a super-helical sliding mode control method for a photoelectric storage converter based on FSBB is provided, comprising the following steps:

[0011] (1) Obtain the carrier signal and the modulation signal of the FSBB converter, perform carrier stacking processing on the carrier signal to obtain a stacked carrier signal, and perform segmentation processing on the modulation signal to obtain a segmented modulation signal.

[0012] (2) Using the stacked carrier signal obtained in step (1), the modulated signal after segmentation in step (1) is subjected to segmented limiting processing to obtain the duty cycle equivalent modulation value mo of the FSBB converter, and the duty cycle equivalent modulation value mo is used to establish the unified state equation of the FSBB converter in the three modes, and then the inductor current equivalent value I is obtained. L (t).

[0013] (3) Based on the inductor current equivalent value of the FSBB converter obtained in step (2) and the unified state equation under the three modes, a super spiral sliding mode controller is used to obtain the current inner loop reference value of the FSBB converter.

[0014] (4) quadrupling the current inner loop reference value of the FSBB converter obtained in step (3) to obtain the current inner loop reference value of the FSBB converter after quadrupling, and comparing the current inner loop reference value of the FSBB converter after quadrupling and the inductor current i of the FSBB converter at time t L (t) Input the PI controller to obtain the modulation wave that drives the FSBB converter.

[0015] (5) The modulation wave for driving the FSBB converter obtained in step (4) is subjected to pulse width modulation (PWM) processing to obtain a driving signal for the FSBB converter.

[0016] (6) Using the driving signal of the FSBB converter obtained in step (5) to control the switch tube of the FSBB converter to obtain a control result.

[0017] Preferably, the unified state equation of the FSBB converter in three modes in step (1) is:

[0018]

[0019] Among them I L (t) = G m (m o )I in (t), where m o Represents the duty cycle equivalent modulation, and satisfies 0≤m o ≤2-k cd , k cd Indicates the carrier overlap coefficient V in (t) represents the input voltage of the FSBB converter at time t, V o (t) represents the initial voltage of the FSBB converter at time t, i L (t) represents the current of the inductor in the FSBB converter at time t. L represents the inductor in the FSBB converter, I pv (t) represents the photovoltaic current in the FSBB converter at time t, I in (t) represents the output current of the FSBB converter at time t, I c (t) represents the current of the capacitor on the input side of the FSBB converter at time t, C in (t) represents the input side capacitance of FSBB converter at time t, Co represents the output side capacitance of FSBB converter, R represents the load in FSBB converter, m' o =m o -(1-k cd ), G m is a limiting function, and:

[0020]

[0021] Preferably, step (3) comprises the following sub-steps:

[0022] (3-1) Obtaining the input voltage signal V in the FSBB converter in (t) and photovoltaic current signal I pv (t), using the maximum power point tracking MPPT algorithm to calculate the input voltage signal V in (t) and photovoltaic current signal I pv (t) is processed to obtain the maximum power point voltage command value V mpp (t).

[0023] (3-2) Use the maximum power point voltage command value V obtained in step (3-1) mpp (t) Obtain the sliding mode surface on the photovoltaic input side of the FSBB converter:

[0024] s=V in (t)-V mpp (t) (4)

[0025] (3-3) Derivative processing is performed on the sliding mode surface on the photovoltaic input side of the FSBB converter obtained in step (3-2) to obtain the derivative relationship of the sliding mode surface:

[0026]

[0027] (3-4) According to the equivalent value of the inductor current of the FSBB converter obtained in step (2) and the unified state equation under the three modes, the derivative relationship of the sliding surface obtained in step (3-3) is simplified to obtain the simplified derivative of the sliding surface:

[0028]

[0029] (3-5) Based on the derivative of the simplified sliding mode surface obtained in step (3-4), the current inner loop reference value is obtained using the super-helical sliding mode control algorithm.

[0030] Preferably, step (3-5) is specifically,

[0031] First, the control law u1 of the super-helical sliding mode control is calculated using the following formula:

[0032]

[0033] Wherein λ and α are design parameters, the value range of λ is 0 to 5, preferably 1, the value range of α is 0 to 10, preferably 5, and sign(s) is the sign function.

[0034] Then, the derivative of the simplified sliding surface obtained in step (3-4) is used, and the control law of the super spiral sliding control is used to obtain the current inner loop reference value of the FSBB converter:

[0035]

[0036] Preferably, step (4) is to calculate the current inner loop reference value of the processed FSBB converter using the following formula:

[0037]

[0038] According to another aspect of the present invention, a super-helical sliding mode control system of a photovoltaic storage converter based on FSBB is provided, comprising:

[0039] The first module is used to obtain the carrier signal and the modulation signal of the FSBB converter, perform carrier stacking processing on the carrier signal to obtain a stacked carrier signal, and perform segmentation processing on the modulation signal to obtain a segmented modulation signal.

[0040] The second module is used to use the stacked carrier signal obtained by the first module to perform segmented limiting processing on the modulation signal after segmentation in the first module to obtain the duty cycle equivalent modulation amount mo of the FSBB converter, and use the duty cycle equivalent modulation amount mo to establish the unified state equation of the FSBB converter in the three modes, and then obtain the inductor current equivalent value I L (t).

[0041] The third module is used to obtain the current inner loop reference value of the FSBB converter using a super spiral sliding mode controller according to the inductor current equivalent value of the FSBB converter and the unified state equation under three modes obtained by the second module.

[0042] The fourth module is used to perform quadruple processing on the current inner loop reference value of the FSBB converter obtained by the third module to obtain the current inner loop reference value of the FSBB converter after quadruple processing, and compare the processed current inner loop reference value of the FSBB converter and the inductor current i of the FSBB converter at time t L (t) Input the PI controller to obtain the modulation wave that drives the FSBB converter.

[0043] The fifth module is used to perform pulse width modulation (PWM) processing on the modulation wave for driving the FSBB converter obtained by the fourth module to obtain a driving signal for the FSBB converter.

[0044] The sixth module is used to control the switch tube of the FSBB converter using the driving signal of the FSBB converter obtained by the fifth module to obtain a control result.

[0045] In general, the above technical solutions conceived by the present invention can achieve the following beneficial effects compared with the prior art:

[0046] (1) The present invention adopts step (1), which enables the FSBB converter to smoothly switch between the three modes through the carrier stacking modulation mode, thereby solving the technical problems existing in the existing photovoltaic storage converter, that is, the photovoltaic input range is narrow and the energy storage battery cannot be directly connected to the DC bus;

[0047] (2) The present invention adopts step (2), which establishes a unified state equation under the three modes. According to the equation, a sliding mode control suitable for the three modes is designed, and it is not necessary to analyze each mode separately. Therefore, it can solve the technical problem of complex sliding mode control design of the existing FSBB converter;

[0048] (3) The present invention adopts step (3) and step (4), and designs a super-helical sliding mode control for FSBB converter. The control method adds a continuous function on the basis of the traditional sliding mode algorithm, and puts the sign function that generates the chattering into the second-order derivative, which not only effectively weakens the inherent chattering of the sliding mode control, but also retains the characteristics of good dynamic performance and robustness of the sliding mode control. Therefore, it can solve the technical problems of slow dynamic response and low control accuracy of the existing PI and SMC-based photovoltaic storage converters. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 This is the topology diagram of the photovoltaic storage converter with FSBB as the front-stage converter;

[0050] Figure 2 It is the topological analysis diagram of FSBB converter in three modes;

[0051] Figure 3 This is the schematic diagram of carrier stacking modulation;

[0052] Figure 4 It is the overall control principle diagram of the present invention;

[0053] Figure 5 is a flow chart of the MPPT algorithm in step (3-1) of the present invention;

[0054] Figure 6 It is a flow chart of the super-helical sliding mode control method of the photoelectric storage converter based on FSBB of the present invention. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0056] The basic idea of ​​the present invention is to apply the FSBB converter to the pre-converter of the photovoltaic storage converter. By using the carrier stacking modulation method, the FSBB converter can switch smoothly between the three modes, and establish a unified state equation under the three modes. Based on the equation, a super-helical sliding mode controller is designed to improve the dynamic response and robustness of the photovoltaic storage converter.

[0057] Applying FSBB converter to the front stage of photovoltaic storage converter can increase the range of photovoltaic input and reduce the number of inductors used. Figure 1As shown. For the convenience of analysis, taking one phase of the FSBB converter as an example, the state equation of the FSBB converter in different modes is derived. FSBB has three working modes, namely Buck mode, Boost mode and Buck-Boost mode. The equivalent circuit of FSBB in the three modes is shown as follows Figure 2 As shown, S1, S2, S3, and S4 are four switches of the FSBB converter, and C in is the input side capacitance, C o is the output side capacitor, R is the load. Where d1 and d2 are the duty cycles of the switches S1 and S4 respectively.

[0058] like Figure 6 As shown, the present invention provides a super-helical sliding mode control method for a photovoltaic storage converter based on four-switch Buck-Boost (FSBB), comprising the following steps:

[0059] (1) Obtain the carrier signal and the modulation signal of the FSBB converter, perform carrier stacking processing on the carrier signal to obtain a stacked carrier signal, and perform segmentation processing on the modulation signal to obtain a segmented modulation signal.

[0060] After this step, a stacked carrier signal is obtained. This modulation method can solve the hard switching problem between multiple modes of the FSBB converter. The carrier stacking modulation method is adopted to output a stable voltage when switching between the three modes, so as to achieve smooth switching between the three modes. The carrier stacking modulation principle is as follows: Figure 3 In addition, based on the principle of carrier stacking, a unified state equation for the three modes of the FSBB converter is established, which is beneficial to the design of the controller.

[0061] The advantage of this step (1) is that the use of carrier stacking modulation can achieve smooth switching between the three modes of Buck, Buck-Boost, and Boost of the FSBB converter, thereby effectively widening the voltage range of the photovoltaic input, reducing the number of inductors used, reducing the space and cost of the energy storage equipment, and laying the foundation for establishing a unified state equation under the three modes.

[0062] (2) Using the stacked carrier signal obtained in step (1), the modulated signal after segmentation in step (1) is subjected to segmented limiting processing to obtain the duty cycle equivalent modulation value mo of the FSBB converter, and the duty cycle equivalent modulation value mo is used to establish the unified state equation of the FSBB converter in the three modes, and then the inductor current equivalent value I is obtained. L (t).

[0063] The unified state equation of the FSBB converter in three modes in this step is:

[0064]

[0065] Among them I L (t) = G m (m o )I in (t), where m o Represents the duty cycle equivalent modulation, and satisfies 0≤m o ≤2-k cd , k cd Indicates the carrier overlap coefficient V in (t) represents the input voltage of the FSBB converter at time t, V o (t) represents the initial voltage of the FSBB converter at time t, i L (t) represents the current of the inductor in the FSBB converter at time t. L represents the inductor in the FSBB converter, I pv (t) represents the photovoltaic current in the FSBB converter at time t, I in (t) represents the output current of the FSBB converter at time t, I c (t) represents the current of the capacitor on the input side of the FSBB converter at time t, C in (t) represents the input side capacitance of FSBB converter at time t, Co represents the output side capacitance of FSBB converter, R represents the load in FSBB converter, m' o =m o -(1-k cd ), G m is a limiting function, and:

[0066]

[0067] The advantage of this step (2) is that a unified state equation of the FSBB converter in three modes is obtained, and the equivalent value of the inductor current in the three modes is obtained based on the above equation, which is conducive to simplifying the design process of the controller and also simplifies the analysis of the FSBB converter.

[0068] (3) Based on the inductor current equivalent value of the FSBB converter obtained in step (2) and the unified state equation under the three modes, a super spiral sliding mode controller is used to obtain the current inner loop reference value of the FSBB converter.

[0069] This step includes the following sub-steps:

[0070] (3-1) Obtaining the input voltage signal V in the FSBB converter in (t) and photovoltaic current signal I pv(t), use the Maximum Power Point Tracking (MPPT) algorithm to calculate the input voltage signal V in (t) and photovoltaic current signal I pv (t) is processed to obtain the maximum power point voltage command value V mpp (t).

[0071] Specifically, the flowchart of the MPPT algorithm is as follows: Figure 5 As shown, where ΔV represents the step size of the conductance increment method.

[0072] (3-2) Use the maximum power point voltage command value V obtained in step (3-1) mpp (t) Obtain the sliding mode surface on the photovoltaic input side of the FSBB converter:

[0073] s=V in (t)-V mpp (t) (4)

[0074] Just control the input voltage to V mpp (t), which means that the photovoltaic side can have the maximum power output.

[0075] (3-3) Derivative processing is performed on the sliding mode surface on the photovoltaic input side of the FSBB converter obtained in step (3-2) to obtain the derivative relationship of the sliding mode surface:

[0076]

[0077] (3-4) According to the equivalent value of the inductor current of the FSBB converter obtained in step (2) and the unified state equation under the three modes, the derivative relationship of the sliding surface obtained in step (3-3) is simplified to obtain the simplified derivative of the sliding surface:

[0078]

[0079] (3-5) obtaining a current inner loop reference value based on the derivative of the simplified sliding mode surface obtained in step (3-4) and using a super-helical sliding mode control algorithm;

[0080] Specifically, this step first uses the following formula to calculate the control law u1 of the super-helical sliding mode control:

[0081]

[0082] Wherein λ and α are design parameters, the value range of λ is 0 to 5, preferably 1, the value range of α is 0 to 10, preferably 5, and sign(s) is the sign function.

[0083] Then, the derivative of the simplified sliding surface obtained in step (3-4) is used, and the control law of the super spiral sliding control is used to obtain the current inner loop reference value of the FSBB converter:

[0084]

[0085] The advantage of this step (3) is that a super-helical sliding mode control is used. This control method adds a continuous function to the traditional sliding mode algorithm and puts the sign function that produces the chattering into the second-order derivative, which effectively weakens the inherent chattering of the sliding mode control, makes the sliding mode system continuous, and improves the system performance. It has higher control accuracy than the traditional SMC and better dynamic performance and robustness than the PI control.

[0086] (4) quadrupling the current inner loop reference value of the FSBB converter obtained in step (3) to obtain the current inner loop reference value of the FSBB converter after quadrupling, and comparing the current inner loop reference value of the FSBB converter after quadrupling and the inductor current i of the FSBB converter at time t L (t) Input the PI controller to obtain the modulation wave that drives the FSBB converter.

[0087] Specifically, this step uses the following formula to calculate the current inner loop reference value of the processed FSBB converter:

[0088]

[0089] (5) The modulation wave for driving the FSBB converter obtained in step (4) is subjected to pulse width modulation (PWM) processing to obtain a driving signal for the FSBB converter.

[0090] The carrier of each phase FSBB converter is 90° out of phase. The staggered parallel connection can effectively reduce the output current ripple while increasing the power level.

[0091] (6) Using the driving signal of the FSBB converter obtained in step (5) to control the switch tube of the FSBB converter to obtain a control result.

[0092] The overall control principle diagram of the present invention is as follows: Figure 4 shown.

[0093] It will be easily understood by those skilled in the art that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A super-helical sliding mode control method for a photovoltaic storage converter based on FSBB, characterized in that: The following steps are involved: (1) Obtain the carrier signal and the modulation signal of the FSBB converter, perform carrier stacking processing on the carrier signal to obtain a stacked carrier signal, and perform segmentation processing on the modulation signal to obtain a segmented modulation signal. (2) Using the stacked carrier signal obtained in step (1), the modulated signal after segmentation in step (1) is subjected to segmented limiting processing to obtain the duty cycle equivalent modulation value mo of the FSBB converter, and the duty cycle equivalent modulation value mo is used to establish the unified state equation of the FSBB converter in the three modes, and then the inductor current equivalent value I is obtained. L (t). (3) Based on the inductor current equivalent value of the FSBB converter obtained in step (2) and the unified state equation under the three modes, a super spiral sliding mode controller is used to obtain the current inner loop reference value of the FSBB converter. (4) quadrupling the current inner loop reference value of the FSBB converter obtained in step (3) to obtain the current inner loop reference value of the FSBB converter after quadrupling, and comparing the current inner loop reference value of the FSBB converter after quadrupling and the inductor current i of the FSBB converter at time t L (t) Input the PI controller to obtain the modulation wave that drives the FSBB converter. (5) The modulation wave for driving the FSBB converter obtained in step (4) is subjected to pulse width modulation (PWM) processing to obtain a driving signal for the FSBB converter. (6) Using the driving signal of the FSBB converter obtained in step (5) to control the switch tube of the FSBB converter to obtain a control result.

2. The super-helical sliding mode control method of the FSBB-based photovoltaic storage converter according to claim 1 is characterized in that: The unified state equation of the FSBB converter in three modes in step (1) is: Among them I L (t) = G m (m o )I in (t), where m o Represents the duty cycle equivalent modulation, and satisfies 0≤m o ≤2-k cd , k cd Indicates the carrier overlap coefficient V in (t) represents the input voltage of the FSBB converter at time t, V o (t) represents the initial voltage of the FSBB converter at time t, i L (t) represents the current of the inductor in the FSBB converter at time t. L represents the inductor in the FSBB converter, I pv (t) represents the photovoltaic current in the FSBB converter at time t, I in (t) represents the output current of the FSBB converter at time t, I c (t) represents the current of the capacitor on the input side of the FSBB converter at time t, C in (t) represents the input side capacitance of FSBB converter at time t, Co represents the output side capacitance of FSBB converter, R represents the load in FSBB converter, m' o =m o -(1-k cd ), G m is a limiting function, and:

3. The super-helical sliding mode control method of the FSBB-based photovoltaic storage converter according to claim 1 or 2, characterized in that: Step (3) includes the following sub-steps: (3-1) Obtaining the input voltage signal V in the FSBB converter in (t) and photovoltaic current signal I pv (t), using the maximum power point tracking MPPT algorithm to calculate the input voltage signal V in (t) and photovoltaic current signal I pv (t) is processed to obtain the maximum power point voltage command value V mpp (t). (3-2) Use the maximum power point voltage command value V obtained in step (3-1) mpp (t) Obtain the sliding mode surface on the photovoltaic input side of the FSBB converter: s=V in (t)-V mpp (t) (4) (3-3) Derivative processing is performed on the sliding mode surface on the photovoltaic input side of the FSBB converter obtained in step (3-2) to obtain the derivative relationship of the sliding mode surface: (3-4) According to the equivalent value of the inductor current of the FSBB converter obtained in step (2) and the unified state equation under the three modes, the derivative relationship of the sliding surface obtained in step (3-3) is simplified to obtain the simplified derivative of the sliding surface: (3-5) Obtain the derivative of the simplified sliding mode surface obtained in step (3-4) and use the super-helical sliding mode control algorithm to obtain the current inner loop reference value.

4. The super-helical sliding mode control method of a photovoltaic storage converter based on FSBB according to any one of claims 1 to 3, characterized in that: Steps (3-5) are specifically: First, the control law u1 of the super-helical sliding mode control is calculated using the following formula: Wherein λ and α are design parameters, the value range of λ is 0 to 5, preferably 1, the value range of α is 0 to 10, preferably 5, and sign(s) is the sign function. Then, the derivative of the simplified sliding surface obtained in step (3-4) is used, and the control law of the super spiral sliding control is used to obtain the current inner loop reference value of the FSBB converter:

5. The super-helical sliding mode control method of the FSBB-based photovoltaic storage converter according to claim 4 is characterized in that: Step (4) is to calculate the current inner loop reference value of the processed FSBB converter using the following formula:

6. A super-helical sliding mode control system of a photovoltaic storage converter based on FSBB, characterized in that: include: The first module is used to obtain the carrier signal and the modulation signal of the FSBB converter, perform carrier stacking processing on the carrier signal to obtain a stacked carrier signal, and perform segmentation processing on the modulation signal to obtain a segmented modulation signal. The second module is used to use the stacked carrier signal obtained by the first module to perform segmented limiting processing on the modulation signal after segmentation in the first module to obtain the duty cycle equivalent modulation amount mo of the FSBB converter, and use the duty cycle equivalent modulation amount mo to establish the unified state equation of the FSBB converter in the three modes, and then obtain the inductor current equivalent value I L (t). The third module is used to obtain the current inner loop reference value of the FSBB converter using a super spiral sliding mode controller according to the inductor current equivalent value of the FSBB converter and the unified state equation under three modes obtained by the second module. The fourth module is used to perform quadruple processing on the current inner loop reference value of the FSBB converter obtained by the third module to obtain the current inner loop reference value of the FSBB converter after quadruple processing, and compare the processed current inner loop reference value of the FSBB converter and the inductor current i of the FSBB converter at time t L (t) Input the PI controller to obtain the modulation wave that drives the FSBB converter. The fifth module is used to perform pulse width modulation (PWM) processing on the modulation wave for driving the FSBB converter obtained by the fourth module to obtain a driving signal for the FSBB converter. The sixth module is used to control the switch tube of the FSBB converter using the driving signal of the FSBB converter obtained by the fifth module to obtain a control result.

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