Wave energy power generation method and system based on two-dimensional offline lookup table maximum power tracking

Abstract

The application provides a wave energy power generation method and system based on a two-dimensional offline lookup table maximum power tracking, comprising the following steps: S1, performing mathematical analysis on a generator and a circuit collection system and building a simulation model; S2, obtaining a boost circuit duty cycle corresponding to a maximum output power of the generator on a load side under different rotating speeds and loads through the simulation model; S3, establishing a two-dimensional offline table and constructing an offline lookup table MPPT algorithm; and S4, measuring the rotating speed and the load of the generator in real time by using a hardware device and tracking the maximum power point of the device by using the lookup table MPPT. The improved MPPT method can correctly track the maximum power point of the wave energy power generation device and always work in a maximum power output state.

Description

Technical Field

[0001] This invention relates to the field of wave energy power generation, and more specifically, to a wave energy power generation method and system based on a two-dimensional offline lookup table method for maximum power point tracking. Background Technology

[0002] Wave energy is a new form of power generation. It boasts high power density, good predictability, and promising development potential. Achieving Maximum Power Point Tracking (MPPT) is a key technology in wave energy research. Due to the time-varying periodicity of waves, traditional online MPPT technology cannot accurately track the maximum power point in real time. Therefore, an offline MPPT technology is needed to establish a mapping relationship between the optimal power point and operating conditions, thereby achieving accurate, efficient, and rapid tracking.

[0003] Patent document CN103729013A discloses a method and apparatus for tracking the maximum power point (MPPT) of a photovoltaic (PV) system. In this method, the operating point of the PV system is changed based on the operating point and changes in the power generated by the PV system. This includes repeatedly performing the following steps: determining the current or voltage of the PV system; determining its power; determining the change in its power relative to a previously determined power; and changing the operating point of the PV system by gradually changing the current or voltage reference based on the change in power and the direction of previous changes in the current or voltage reference. It also includes storing the determined values ​​of the PV system's current or voltage and the determined power along with time values. Determining the power change includes: reading from the stored values ​​the previous value of the determined power whose current or voltage value is equal to the current current or voltage value and its time value; and calculating the power change based on the current power value, the previous power value, the stored value of the power corresponding to the current or voltage value, and the time value of the stored power value. However, this invention does not perform offline maximum power tracking and cannot effectively solve the problem of misjudgment in the MPPT method caused by drastic fluctuations in wave energy input. Summary of the Invention

[0004] To address the shortcomings of existing technologies, the purpose of this invention is to provide a wave energy generation method and system based on a two-dimensional offline lookup table method for maximum power tracking.

[0005] A wave energy generation method based on a two-dimensional offline lookup table method according to the present invention includes: Step S1: Perform mathematical analysis on the generator and circuit collection system and build a simulation model; Step S2: Use a simulation model to determine the duty cycle of the boost circuit corresponding to the maximum output power of the generator on the load side under different speeds and loads; Step S3: Create a two-dimensional offline chart and construct the offline table lookup MPPT algorithm; Step S4: Utilize hardware devices to measure generator speed and load in real time, and use the lookup table method MPPT to achieve maximum power point tracking of the device.

[0006] Preferably, in step S1: Step S1.1: The simulation device model consists of a generator, a rectifier bridge, and a boost circuit. The generator is a three-phase permanent magnet synchronous motor, the rectifier bridge is a three-phase to two-phase passive rectifier, and the boost circuit adopts a dual MOS transistor BOOST circuit. Under the influence of the duty cycle D of the boost circuit, the boost circuit and the load can be considered as a whole. :

[0007] In the formula, The optimal value for the resistor at the end of the boost circuit is: The power output of the load after rectification and boosting is:

[0008] In the formula, The three-phase voltage output amplitude is positively correlated with the generator input speed. The output frequency of the AC voltage. For generator inductance; there exists an optimal... When the load When the duty cycle is constant, there exists an optimal duty cycle. , making maximum; Step S1.2: The adjustment parameter in the simulation process is the duty cycle of the boost circuit, which is gradually increased from 0 to 1; Step S1.3: Simulation is performed using Matlab and Simulink simulation models.

[0009] Preferably, in step S2: Step S2.1: Multiply the output current and voltage values ​​of the resistors connected to the boost circuit obtained from the simulation to obtain the output power value; Step S2.2: Given that the input speed of the generator and the resistance value of the external resistor in the boost circuit are determined, find the optimal duty cycle to maximize the output power value calculated in step S2.1. Step S2.3: Establish a two-dimensional chart of the optimal duty cycle under different input speeds or external loads of the amplifier circuit.

[0010] Preferably, in step S3: Step S3.1: The rectifier bridge and boost circuit are both arranged on the development board. The input of the development board is the three-phase power of the generator. The switching signal PWM pulse of the boost circuit is controlled by the TMS320F280049 chip. Step S3.2: The input variables for the offline two-dimensional chart are generator speed and load resistance, and the output variable is the duty cycle of the boost circuit; Step S3.3: The two-dimensional chart is stored in the chip as discrete points, and the remaining points are obtained through linear interpolation.

[0011] Preferably, in step S4: Step S4.1: The generator uses a Hall sensor to output a pulse signal; Step S4.2: The generator speed is read through STM32F103ZE. Specifically, the speed is calculated by counting pulses per generator revolution using ADC pulse sampling. Step S4.3: The load resistor obtains the current and voltage values ​​through the current sensor and voltage sensor on the circuit board, and performs resistance value conversion. Step S4.4: The generator speed signal is transmitted from STM32F103ZE to TMS320F280049 via the 485 communication protocol; Step S4.5: After the TMS320F280049 processor obtains the speed and load signals, it looks up the table to calculate the optimal duty cycle and generates the corresponding PWM switching signal to achieve maximum power point tracking.

[0012] A wave energy generation system based on a two-dimensional offline lookup table method for maximum power point tracking, according to the present invention, includes: Module M1: Performs mathematical analysis and builds a simulation model of the generator and circuit collection system; Module M2: The duty cycle of the boost circuit corresponding to the maximum output power of the generator on the load side under different speeds and loads is obtained through simulation model; Module M3: Creates two-dimensional offline charts and constructs an offline table lookup MPPT algorithm; Module M4: Utilizes hardware devices to measure generator speed and load in real time, and uses the lookup table method MPPT to achieve maximum power point tracking of the device.

[0013] Preferably, in module M1: Module M1.1: The simulation device model consists of a generator, a rectifier bridge, and a boost circuit. The generator is a three-phase permanent magnet synchronous motor, the rectifier bridge is a three-phase to two-phase passive rectifier, and the boost circuit uses a dual MOS transistor BOOST circuit. Under the influence of the duty cycle D of the boost circuit, the boost circuit and the load can be considered as a whole. :

[0014] In the formula, The optimal value for the resistor at the end of the boost circuit is: The power output of the load after rectification and boosting is:

[0015] In the formula, The three-phase voltage output amplitude is positively correlated with the generator input speed. The output frequency of the AC voltage. For generator inductance; there exists an optimal... When the load When the duty cycle is constant, there exists an optimal duty cycle. , making maximum; Module M1.2: The adjustment parameter in the simulation process is the duty cycle of the boost circuit, which is gradually increased from 0 to 1; Module M1.3: Simulation is performed using Matlab and Simulink simulation models.

[0016] Preferably, in module M2: Module M2.1: Based on the output current and voltage values ​​of the resistors connected to the boost circuit obtained from the simulation, the output power value is obtained by multiplying the two values. Module M2.2: Given a fixed input speed of the generator and the resistance value of the external resistor in the boost circuit, find the optimal duty cycle to maximize the output power value calculated by module M2.1; Module M2.3: Create a two-dimensional chart of the optimal duty cycle under different input speeds or external loads of the amplifier circuit.

[0017] Preferably, in module M3: Module M3.1: The rectifier bridge and boost circuit are both located on the development board. The input of the development board is the three-phase power from the generator. The switching signal PWM pulse of the boost circuit is controlled by the TMS320F280049 chip. Module M3.2: The input variables for finding offline 2D charts are generator speed and load resistance, and the output variable is the duty cycle of the boost circuit PWM pulse. Module M3.3: The two-dimensional chart is stored in the chip as discrete points, and the remaining points are obtained through linear interpolation.

[0018] Preferably, in module M4: Module M4.1: The generator uses a Hall sensor to output pulse signals; Module M4.2: The generator speed is read through the STM32F103ZE. Specifically, the speed is calculated by counting pulses per generator revolution using the ADC pulse sampling method. Module M4.3: The load resistor obtains current and voltage values ​​through the current sensor and voltage sensor on the circuit board, and performs resistance value conversion. Module M4.4: The generator speed signal is transmitted from STM32F103ZE to TMS320F280049 via the 485 communication protocol; Module M4.5: After the TMS320F280049 processor obtains the speed and load signals, it looks up a table to calculate the optimal duty cycle and generates the corresponding PWM switching signal to achieve maximum power point tracking.

[0019] Compared with the prior art, the present invention has the following beneficial effects: 1. The MPPT wave power generation method based on two-dimensional offline lookup table method provided by the present invention determines the optimal duty cycle by real-time acquisition of generator speed and external load, and performs offline maximum power tracking. It can effectively solve the problem of MPPT method misjudgment caused by violent fluctuations in wave energy input, and is not affected by wave conditions. It also performs well under random wave excitation. 2. The improved MPPT method can accurately track the maximum power point of the wave energy generation device and always operate at the maximum power output state. Attached Figure Description

[0020] 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 flowchart illustrating the offline table lookup MPPT method of the present invention; Figure 2 This is a schematic diagram of the hardware construction for implementing the present invention. Detailed Implementation

[0021] 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.

[0022] Example 1: This invention proposes an offline lookup table MPPT algorithm for wave energy power generation. Due to the instability and variability of wave energy, traditional control algorithms have poor real-time tracking performance. This algorithm utilizes the principles and characteristics of generators and boost circuits to verify the existence of maximum power at different generator speeds and loads. It proposes a lookup table MPPT method, establishing the correspondence between generator input speed, load, and boost circuit PWM pulse duty cycle. By acquiring the generator speed and boost circuit load in real time, and using lookup table and interpolation methods, the duty cycle of the boost circuit PWM pulse is dynamically changed to achieve maximum power point tracking.

[0023] This invention provides a wave energy generation method based on a two-dimensional offline lookup table method for maximum power point tracking, such as... Figures 1-2 As shown, it includes: Step S1: Perform mathematical analysis on the generator and circuit collection system and build a simulation model; Specifically, in step S1: Step S1.1: The simulation device model consists of a generator, a rectifier bridge, and a boost circuit. The generator is a three-phase permanent magnet synchronous motor, the rectifier bridge is a three-phase to two-phase passive rectifier, and the boost circuit adopts a dual MOS transistor BOOST circuit. Under the influence of the duty cycle D of the boost circuit, the boost circuit and the load can be considered as a whole. :

[0024] In the formula, The optimal value for the resistor at the end of the boost circuit is: The power output of the load after rectification and boosting is:

[0025] In the formula, The three-phase voltage output amplitude is positively correlated with the generator input speed. The output frequency of the AC voltage. For generator inductance; there exists an optimal... When the load When the duty cycle is constant, there exists an optimal duty cycle. , making maximum; Step S1.2: The adjustment parameter in the simulation process is the duty cycle of the boost circuit, which is gradually increased from 0 to 1; Step S1.3: Simulation is performed using Matlab and Simulink simulation models.

[0026] Step S2: Use a simulation model to determine the duty cycle of the boost circuit corresponding to the maximum output power of the generator on the load side under different speeds and loads; Specifically, in step S2: Step S2.1: Multiply the output current and voltage values ​​of the resistors connected to the boost circuit obtained from the simulation to obtain the output power value; Step S2.2: Given that the input speed of the generator and the resistance value of the external resistor in the boost circuit are determined, find the optimal duty cycle to maximize the output power value calculated in step S2.1. Step S2.3: Establish a two-dimensional chart of the optimal duty cycle under different input speeds or external loads of the amplifier circuit.

[0027] Step S3: Create a two-dimensional offline chart and construct the offline table lookup MPPT algorithm; Specifically, in step S3: Step S3.1: The rectifier bridge and boost circuit are both arranged on the development board. The input of the development board is the three-phase power of the generator. The switching signal PWM pulse of the boost circuit is controlled by the TMS320F280049 chip. Step S3.2: The input variables for the offline two-dimensional chart are generator speed and load resistance, and the output variable is the duty cycle of the boost circuit; Step S3.3: The two-dimensional chart is stored in the chip as discrete points, and the remaining points are obtained through linear interpolation.

[0028] Step S4: Utilize hardware devices to measure generator speed and load in real time, and use the lookup table method MPPT to achieve maximum power point tracking of the device.

[0029] Specifically, in step S4: Step S4.1: The generator uses a Hall sensor to output a pulse signal; Step S4.2: The generator speed is read through STM32F103ZE. Specifically, the speed is calculated by counting pulses per generator revolution using ADC pulse sampling. Step S4.3: The load resistor obtains the current and voltage values ​​through the current sensor and voltage sensor on the circuit board, and performs resistance value conversion. Step S4.4: The generator speed signal is transmitted from STM32F103ZE to TMS320F280049 via the 485 communication protocol; Step S4.5: After the TMS320F280049 processor obtains the speed and load signals, it looks up the table to calculate the optimal duty cycle and generates the corresponding PWM switching signal to achieve maximum power point tracking.

[0030] Example 2: Example 2 is a preferred embodiment of Example 1, and is used to illustrate the present invention in more detail.

[0031] The present invention also provides a wave energy power generation system based on the two-dimensional offline lookup table method for maximum power tracking. The wave energy power generation system based on the two-dimensional offline lookup table method for maximum power tracking can be implemented by executing the process steps of the wave energy power generation method based on the two-dimensional offline lookup table method for maximum power tracking. That is, those skilled in the art can understand the wave energy power generation method based on the two-dimensional offline lookup table method for maximum power tracking as a preferred embodiment of the wave energy power generation system based on the two-dimensional offline lookup table method for maximum power tracking.

[0032] A wave energy generation system based on a two-dimensional offline lookup table method for maximum power point tracking, according to the present invention, includes: Module M1: Performs mathematical analysis and builds a simulation model of the generator and circuit collection system; Specifically, in module M1: Module M1.1: The simulation device model consists of a generator, a rectifier bridge, and a boost circuit. The generator is a three-phase permanent magnet synchronous motor, the rectifier bridge is a three-phase to two-phase passive rectifier, and the boost circuit uses a dual MOS transistor BOOST circuit. Under the influence of the duty cycle D of the boost circuit, the boost circuit and the load can be considered as a whole. :

[0033] In the formula, The optimal value for the resistor at the end of the boost circuit is: The power output of the load after rectification and boosting is:

[0034] In the formula, The three-phase voltage output amplitude is positively correlated with the generator input speed. The output frequency of the AC voltage. For generator inductance; there exists an optimal... When the load When the duty cycle is constant, there exists an optimal duty cycle. , making maximum; Module M1.2: The adjustment parameter in the simulation process is the duty cycle of the boost circuit, which is gradually increased from 0 to 1; Module M1.3: Simulation is performed using Matlab and Simulink simulation models.

[0035] Module M2: The duty cycle of the boost circuit corresponding to the maximum output power of the generator on the load side under different speeds and loads is obtained through simulation model; Specifically, in module M2: Module M2.1: Based on the output current and voltage values ​​of the resistors connected to the boost circuit obtained from the simulation, the output power value is obtained by multiplying the two values. Module M2.2: Given a fixed input speed of the generator and the resistance value of the external resistor in the boost circuit, find the optimal duty cycle to maximize the output power value calculated by module M2.1; Module M2.3: Create a two-dimensional chart of the optimal duty cycle under different input speeds or external loads of the amplifier circuit.

[0036] Module M3: Creates two-dimensional offline charts and constructs an offline table lookup MPPT algorithm; Specifically, in module M3: Module M3.1: The rectifier bridge and boost circuit are both located on the development board. The input of the development board is the three-phase power from the generator. The switching signal PWM pulse of the boost circuit is controlled by the TMS320F280049 chip. Module M3.2: The input variables for finding offline 2D charts are generator speed and load resistance, and the output variable is the duty cycle of the boost circuit; Module M3.3: The two-dimensional chart is stored in the chip as discrete points, and the remaining points are obtained through linear interpolation.

[0037] Module M4: Utilizes hardware devices to measure generator speed and load in real time, and uses the lookup table method MPPT to achieve maximum power point tracking of the device.

[0038] Specifically, in module M4: Module M4.1: The generator uses a Hall sensor to output pulse signals; Module M4.2: The generator speed is read through the STM32F103ZE. Specifically, the speed is calculated by counting pulses per generator revolution using the ADC pulse sampling method. Module M4.3: The load resistor obtains current and voltage values ​​through the current sensor and voltage sensor on the circuit board, and performs resistance value conversion. Module M4.4: The generator speed signal is transmitted from STM32F103ZE to TMS320F280049 via the 485 communication protocol; Module M4.5: After the TMS320F280049 processor obtains the speed and load signals, it looks up a table to calculate the optimal duty cycle and generates the corresponding PWM switching signal to achieve maximum power point tracking.

[0039] Example 3: Example 3 is a preferred example of Example 1, and is used to illustrate the present invention in more detail.

[0040] A proposed offline lookup table method for maximum power point tracking (MPPT) in wave energy generation is characterized by: 1. Establish mathematical models of the generator and circuit board, and derive the theoretical formula for power output.

[0041] 2. Establish an offline mapping chart of generator speed, boost circuit load, and optimal duty cycle.

[0042] 3. By monitoring the generator speed and the load of the boost circuit, the duty cycle is dynamically changed to achieve maximum power point tracking.

[0043] 4. Implement and control the maximum power point tracking algorithm using the TMS320F280049 chip.

[0044] The generator is a three-phase permanent magnet synchronous generator. The circuit board consists of a three-phase rectifier bridge, a boost circuit, and a load. The rectifier bridge is a three-phase to two-phase passive rectifier, and the boost circuit uses a dual-MOSFET BOOST circuit. The duty cycle D of the PWM control signal for the boost circuit is controlled by a TMS320F280049 chip. Under the action of the duty cycle D, the entire boost circuit is equivalent to a load with the following resistance:

[0045] In the formula, Let be the resistance value at the end of the boost circuit. The optimization objective is... The power output of the load after rectification and boosting is:

[0046] In the formula, The three-phase voltage output amplitude is positively correlated with the generator input speed. The output frequency of the AC voltage. Let be the generator inductance. According to the formula, there exists an optimal... That is, when the load When the duty cycle is constant, there exists an optimal duty cycle. , making maximum.

[0047] The generator speed and optimal load were established using Simulink simulation. The specific implementation method was as follows: a simulation model of the generator, rectifier bridge, and boost circuit was built; the generator input speed and load were given values; the duty cycle of the boost circuit was dynamically adjusted from 0 to 1, and the output power was recorded; based on the output power, the duty cycle value corresponding to the maximum power point was found, and the correspondence between speed, load, and duty cycle was established; a discrete graph of speed, load, and duty cycle was established, and non-experimental data points were obtained through interpolation.

[0048] The generator speed monitoring method involved uses a Hall sensor combined with pulse counting. The Hall sensor emits pulse signals when the generator rotates, and the generator speed is obtained by counting these pulses using an STM32F103ZE microcontroller.

[0049] The load measurement method involves calculating the resistance value using voltage and current sampling data from the TMS320F280049 control board. The digital signal of the generator speed is sent to the TMS320F280049 control board via RS-485 communication, and the current optimal duty cycle is obtained through a lookup table method.

[0050] The implementation and control of the maximum power point tracking (MPPT) algorithm involved include embedding a speed and optimal duty cycle chart into the TMS320F280049 core board, acquiring the generator speed signal, determining the optimal duty cycle using lookup table and interpolation methods, and generating a PWM wave to control the boost circuit, thereby achieving maximum power point tracking.

[0051] An offline MPPT algorithm implementation case study applied to a wave energy generation PTO system. The PTO system converts wave energy into electrical energy. It captures wave energy and drives a generator to generate electricity via a mechanical transmission device. Parameters such as the generator's voltage constant and internal resistance are measured. Combined with the component parameters of the actual rectifier bridge and boost circuit, a simulation model of the generator-rectifier bridge-boost circuit is built in Simulink.

[0052] Based on the actual sea conditions of the wave energy generation device, the speed range transmitted to the generator was calculated according to the device's dynamic model. The speed was divided into 1 rad / s increments, which were used as the speed inputs in the simulation model. Taking a constant boost circuit load as an example, the duty cycle of the boost circuit was adjusted from 0 to 1 at each constant input speed, and the load power data of the simulation output was recorded. The duty cycle corresponding to the maximum power was selected as the optimal duty cycle under the current speed excitation. By changing the speed, the optimal duty cycle was found again, and a discrete speed-duty cycle graph was established.

[0053] In practical applications, the discrete speed duty cycle graph is embedded into the TMS320F280049 chip. The generator needs to be equipped with a Hall sensor, and the speed is read through an STM32F103ZE. Specifically, the speed is read by counting pulses sampled by an ADC and calculating the speed based on the number of pulses per revolution of the generator. The calculated speed is sent to the TMS320F280049 chip via RS-485 communication. After the chip performs calculations and looks up the optimal duty cycle, it generates a PWM wave with the corresponding duty cycle to control the boost circuit, thereby achieving optimal system load and enabling maximum power point tracking.

[0054] For non-constant boost circuit loads, the load can be changed, and the simulation can be performed again to create a two-dimensional offline graph. The optimal duty cycle can be queried using two variables: rotational speed and load. The load can be calculated by reading voltage and current sampling data from the energy harvesting board using the TMS320F280049 chip.

[0055] Those skilled in the art will understand that, besides implementing the system and its various devices, modules, and units provided by this invention in the form of purely computer-readable program code, the same functions can be achieved entirely through logical programming of the method steps, making the system and its various devices, modules, and units of this invention function in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers. Therefore, the system and its various devices, modules, and units provided by this invention can be considered as a hardware component, and the devices, modules, and units included therein for implementing various functions can also be considered as structures within the hardware component; alternatively, the devices, modules, and units for implementing various functions can be considered as both software modules implementing the method and structures within the hardware component.

[0056] 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 wave energy power generation method based on two-dimensional offline look-up table maximum power tracking, characterized in that, include: Step S1: Perform mathematical analysis on the generator and circuit collection system and build a simulation model; In step S1: Step S1.1: The simulation device model consists of a generator, a rectifier bridge, and a boost circuit. The generator is a three-phase permanent magnet synchronous motor, the rectifier bridge is a three-phase to two-phase passive rectifier, and the boost circuit adopts a dual MOS transistor BOOST circuit. Under the action of the duty cycle D of the boost circuit, the boost circuit and the load as a whole are equivalent to : In the formula, The optimal value for the resistor at the end of the boost circuit is: The power output of the load after rectification and boosting is: In the formula, The three-phase voltage output amplitude is positively correlated with the generator input speed. The output frequency of the AC voltage. For generator inductance; there exists an optimal... When the load When the duty cycle is constant, there exists an optimal duty cycle. , making maximum; Step S1.2: The adjustment parameter in the simulation process is the duty cycle of the boost circuit, which is gradually increased from 0 to 1; Step S1.3: Perform simulation using Matlab and Simulink simulation models; Step S2: Use a simulation model to determine the duty cycle of the boost circuit corresponding to the maximum output power of the generator on the load side under different speeds and loads; In step S2: Step S2.1: Multiply the output current and voltage values ​​of the resistors connected to the boost circuit obtained from the simulation to obtain the output power value; Step S2.2: Given that the input speed of the generator and the resistance value of the external resistor in the boost circuit are determined, find the optimal duty cycle to maximize the output power value calculated in step S2.

1. Step S2.3: Establish a two-dimensional chart of the optimal duty cycle under different input speeds or external loads on the amplifier circuit; Step S3: Create a two-dimensional offline chart and construct the offline table lookup MPPT algorithm; Step S4: Utilize hardware devices to measure generator speed and load in real time, and use the lookup table method MPPT to achieve maximum power point tracking of the device.

2. The wave energy generation method based on two-dimensional offline lookup table method according to claim 1, characterized in that, In step S3: Step S3.1: The rectifier bridge and boost circuit are both arranged on the development board. The input of the development board is the three-phase power of the generator. The switching signal PWM pulse of the boost circuit is controlled by the TMS320F280049 chip. Step S3.2: The input variables for the offline two-dimensional chart are generator speed and load resistance, and the output variable is the duty cycle of the boost circuit; Step S3.3: The two-dimensional chart is stored in the chip as discrete points, and the remaining points are obtained through linear interpolation.

3. The wave energy generation method based on two-dimensional offline lookup table method according to claim 1, characterized in that, In step S4: Step S4.1: The generator uses a Hall sensor to output a pulse signal; Step S4.2: The generator speed is read through STM32F103ZE. Specifically, the speed is calculated by counting pulses per generator revolution using ADC pulse sampling. Step S4.3: The load resistor obtains the current and voltage values ​​through the current sensor and voltage sensor on the circuit board, and performs resistance value conversion. Step S4.4: The generator speed signal is transmitted from STM32F103ZE to TMS320F280049 via the 485 communication protocol; Step S4.5: After the TMS320F280049 processor obtains the speed and load signals, it looks up the table to calculate the optimal duty cycle and generates the corresponding PWM switching signal to achieve maximum power point tracking.

4. A wave energy generation system based on a two-dimensional offline lookup table method for maximum power point tracking, characterized in that, include: Module M1: Performs mathematical analysis and builds a simulation model of the generator and circuit collection system; In module M1: Module M1.1: The simulation device model consists of a generator, a rectifier bridge, and a boost circuit. The generator is a three-phase permanent magnet synchronous motor, the rectifier bridge is a three-phase to two-phase passive rectifier, and the boost circuit uses a dual MOS transistor BOOST circuit. Under the influence of the duty cycle D of the boost circuit, the boost circuit and the load can be considered as a whole. : In the formula, The optimal value for the resistor at the end of the boost circuit is: The power output of the load after rectification and boosting is: In the formula, The three-phase voltage output amplitude is positively correlated with the generator input speed. The output frequency of the AC voltage. For generator inductance; there exists an optimal... When the load When the duty cycle is constant, there exists an optimal duty cycle. , making maximum; Module M1.2: The adjustment parameter in the simulation process is the duty cycle of the boost circuit, which is gradually increased from 0 to 1; Module M1.3: Simulation is performed using Matlab and Simulink simulation models; Module M2: The duty cycle of the boost circuit corresponding to the maximum output power of the generator on the load side under different speeds and loads is obtained through simulation model; In module M2: Module M2.1: Based on the output current and voltage values ​​of the resistors connected to the boost circuit obtained from the simulation, the output power value is obtained by multiplying the two values. Module M2.2: Given a fixed input speed of the generator and the resistance value of the external resistor in the boost circuit, find the optimal duty cycle to maximize the output power value calculated by module M2.1; Module M2.3: Establishes a two-dimensional chart of the optimal duty cycle under different input speeds or external loads of the amplifier circuit; Module M3: Establishes a two-dimensional offline chart and constructs an offline lookup table MPPT algorithm; Module M4: Utilizes hardware devices to measure generator speed and load in real time, and uses the lookup table method MPPT to achieve maximum power point tracking of the device.

5. The wave energy generation system based on two-dimensional offline lookup table method for maximum power point tracking according to claim 4, characterized in that, In module M3: Module M3.1: The rectifier bridge and boost circuit are both located on the development board. The input of the development board is the three-phase power from the generator. The switching signal PWM pulse of the boost circuit is controlled by the TMS320F280049 chip. Module M3.2: The input variables for finding offline 2D charts are generator speed and load resistance, and the output variable is the duty cycle of the boost circuit; Module M3.3: The two-dimensional chart is stored in the chip as discrete points, and the remaining points are obtained through linear interpolation.

6. The wave energy generation system based on two-dimensional offline lookup table method for maximum power point tracking according to claim 4, characterized in that, In module M4: Module M4.1: The generator uses a Hall sensor to output pulse signals; Module M4.2: The generator speed is read through the STM32F103ZE. Specifically, the speed is calculated by counting pulses per generator revolution using the ADC pulse sampling method. Module M4.3: The load resistor obtains current and voltage values ​​through the current sensor and voltage sensor on the circuit board, and performs resistance value conversion. Module M4.4: The generator speed signal is transmitted from STM32F103ZE to TMS320F280049 via the 485 communication protocol; Module M4.5: After the TMS320F280049 processor obtains the speed and load signals, it looks up a table to calculate the optimal duty cycle and generates the corresponding PWM switching signal to achieve maximum power point tracking.

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