TWI567524B - Maximum power tracking of wind power generation systems - Google Patents

Description

Maximum power tracking wind power system

The present invention relates to a power generation system, and more particularly to a wind power generation system for maximum power tracking.

Nowadays, environmental awareness is on the rise, people are shocked that they can no longer rely too much on non-renewable energy sources such as oil, coal and natural gas that are exhausted and used. In recent years, many accidents have made the safety of nuclear power plants questionable. The replacement of traditional thermal power generation and nuclear power generation by renewable energy has gradually become the goal of all countries in the world. According to "Renewable Energy Policy Network for the 21st Century" (Renewable Energy PWMolicy Network for the 21 st Century, referred to REN21) published in the journal Statistical mid-June 2014, in 2013 the global wind power capacity has reached 318G watts (W), the second Large renewable energy generation methods.

Due to the uneven heat absorption of the sun's surface on the earth's surface, the atmospheric pressure is unbalanced, causing air circulation and circulation, which is called wind. As shown in Fig. 1, wind pressure is generated when the air flows, and the diaphragm of the wind turbine 10 is driven to rotate, thereby driving the generator 12 to generate electricity. Therefore, wind power is converted from wind energy to mechanical energy and then converted into electrical energy. Wind power is a strong and stable renewable energy source. In order to achieve the most efficient use of wind energy, the maximum power tracker has become an indispensable part. The largest power tracker commonly seen at present is a single boost or buck architecture. The control method is disturbance observation. The system environment of the application is limited, and the tracking rate is too slow and the steady state oscillates, resulting in many energy loss. In addition, other control methods need to obtain the wind speed signal and the dynamic model of the permanent magnet synchronous generator, which is more complicated and difficult to implement. In addition, the conventional buck-boost circuit (Buck-Boost) is limited by voltage stress and is often not suitable for high-power systems.

At present, the most common method for maximum power tracker is perturbation observation. Disturbance observation method is widely used in the control method of maximum power tracking. Because its principle is simple and the required parameters are few, the rectified voltage of permanent magnet synchronous generator is gradually approaching its maximum by repeatedly observing the power value and adjusting the responsibility ratio. Power point. Although this method can reach the maximum power point, it will not stop the disturbance after reaching the maximum power point and will continue to oscillate, resulting in energy loss. If you want to reduce the loss of disturbance, you can reduce the amplitude of the left and right oscillation by adjusting the disturbance amount, but it will slow down the tracking rate. When the atmosphere changes greatly and rapidly, the disturbance observation method cannot quickly track the next maximum power point, and Not suitable for use in wind power systems.

In addition, relevant literature discusses the use of TS (Takagi-Sugeno) fuzzy control method to design wind power maximum power tracker, but the maximum power tracker is only a traditional step-down circuit, and the design does not consider the attenuation rate conditions, and does not consider the blade. The change of wind direction angle. Therefore, the operating range of the controller is limited, and the tracking rate is not fast enough, and the power curve of different blade wind direction angles cannot be tracked, which will cause defects in the actual application that cannot catch the true maximum power point.

Accordingly, the present invention has been made in view of the above-mentioned problems, and proposes a wind power generation system with maximum power tracking to solve the problems caused by the prior art.

The main object of the present invention is to provide a wind power generation system with maximum power tracking, which uses a maximum power tracker to receive a wind direction angle, a generator speed, a DC input voltage, and a DC input current to perform TS (Takagi- Sugeno) fuzzy control method to withstand the mode uncertainty of component aging such as inductance and capacitance and the interference caused by diode bias and external unstable wind field, and enhance the resistance of the system when it encounters turbulence or gusts. Increase the system convergence rate and reduce the response time of the maximum power tracking of the wind power generation system. In addition, the system can quickly track the maximum power of wind power generation under different generator speeds and different blade wind direction angles, improving tracking accuracy and wind energy utilization rate.

To achieve the above object, the present invention provides a wind power generation system with maximum power tracking, which comprises a wind turbine having a windmill blade, which uses wind power to generate a mechanical energy, and the wind turbine blade has a wind direction angle in response to the wind. The wind turbine is connected to a three-phase generator that receives mechanical energy to operate at a rotational speed and to generate three-phase alternating current electrical energy. The three-phase generator is connected to an AC-DC converter, which converts the three-phase AC power into a DC input voltage and a DC input current. The windmill blade, the three-phase generator and the AC-DC converter are connected to a maximum power tracker, which detects the wind direction angle and the speed of the generator, and the maximum power tracker receives the wind direction angle, the rotational speed, the DC input voltage and the DC input current. Based on this, the TS (Takagi-Sugeno) fuzzy control method is performed. The maximum power tracker uses the T-S fuzzy control method to obtain the maximum power point of the DC input voltage and the DC input current, and accordingly generates a DC output voltage and a DC output current.

In order to give your reviewers a better understanding and understanding of the structural features and efficacies of the present invention, the following is a description of the preferred embodiment and the detailed description.

Referring to Figure 2, a first embodiment of the present invention will be described below. The maximum power tracking wind power generation system of the present invention comprises a wind turbine 10, a three-phase generator 12, an AC/DC converter 14, a maximum power tracker 16, a DC link circuit 18 and a three-phase inverter. 20, wherein the three-phase generator 12 and the AC-DC converter 14 are respectively exemplified by a permanent magnet synchronous generator and a three-phase full-wave rectifier circuit. The wind turbine 10 includes a wind turbine blade 22 and a wind turbine rotor 24 having a wind direction angle β(t) corresponding to the wind force. The windmill rotor 24 is coupled to the three-phase generator 12 via a shaft column 26, and the wind turbine blade 22 is disposed on the windmill rotor 24. The wind force sequentially drives the windmill rotor 24 and the shaft post 26 to rotate through the windmill blades 22 to generate a mechanical energy. The three-phase generator 12 receives this mechanical energy to operate at a rotational speed ω(t) and produces three-phase alternating current electrical energy TE. The AC/DC converter 14 is connected to the three-phase generator 12 to convert the three-phase AC power TE into a DC input voltage. And always input current . The maximum power tracker 16 is connected to the wind turbine blade 22, the three-phase generator 12 and the AC/DC converter 14 to detect the wind direction angle β(t) and the rotational speed ω(t), and the maximum power tracker 16 receives the wind direction angle β(t). ), speed ω(t), DC input voltage With DC input current In order to perform the TS (Takagi-Sugeno) fuzzy control method, the maximum power tracker 16 obtains the DC input voltage by using the TS fuzzy control method. With DC input current Maximum power point, and accordingly generate a DC output voltage And current output current . DC link circuit 18 is connected to maximum power tracker 16, DC output voltage With DC output current The output is through the DC link circuit 18. The three-phase inverter 20 is connected to a load 28 and a DC link circuit 18 for receiving a DC output voltage. With DC output current And convert it to a three-phase AC voltage TV for use by the load 28.

The maximum power tracker 16 further includes a processor 30 and a voltage converter 32. The processor 30 connects the wind turbine blade 22, the three-phase generator 12, the AC/DC converter 14 and the voltage converter 32, and detects the wind direction angle β(t) and the rotational speed ω(t), and the processor 30 receives the wind direction angle β ( t), speed ω (t), DC input voltage DC input current DC output voltage In order to perform the TS fuzzy control method to obtain the maximum power point, the processor 30 generates a pulse width modulation signal PWM according to the maximum power point. Voltage converter 32 is connected to AC/DC converter 14 to receive DC input voltage With DC input current And receiving the pulse width modulation signal PWM, and converting the DC input voltage accordingly With DC input current DC output voltage With DC output current .

The voltage converter 32 further includes a first capacitor 34, a first electronic switch 36, a first diode 38, an inductor 40, a second electronic switch 42, a second diode 44 and a second The capacitor 46, wherein the first electronic switch 36 and the second electronic switch 42 are both exemplified by a gold oxide half field effect transistor. The first capacitor 34 is connected to the AC to DC converter 14 and receives and stabilizes the DC input voltage . The first electronic switch 36 is connected to the processor 30, the AC/DC converter 14 and the first capacitor 34, and receives the pulse width modulation signal PWM to switch the switching state. The anode of the first diode 38 is grounded and the cathode is connected to the first electronic switch 36. The first diode 38 receives the DC input voltage through the first electronic switch 36 according to the switching state of the first electronic switch 36. With DC input current A node voltage is established at the anode of the first diode 38. The inductor 40 is connected to the anode of the first diode 38 and the first electronic switch 36, and receives the above-mentioned node voltage to generate an inductor current. . The second electronic switch 42 is connected to the inductor 40, the AC/DC converter 14 and the processor 30, and receives the pulse width modulation signal PWM to switch the switching state. The anode of the second diode 44 is connected to the second electronic switch 42 and the inductor 40, and receives the inductor current according to the switching state of the second electronic switch 42. To generate a DC output voltage With DC output current . The second capacitor 46 is connected to the cathode of the second diode 44 and the AC/DC converter 14 to stabilize the DC output voltage. .

The above TS fuzzy control method is implemented according to the following formulas (1), (2), (3), (4), (5), (6), and (7): ,among them (1) , , (2) (3) (4) (5) ,among them , (6) , ,among them , , , , , , (7) where sup is the minimum upper bound, V ( x ( t )) is the Lyapunov function, For the rate of change of the Lyapunov function, x ( t ) is the system state variable, , For the rate of change of system state variables, For time, For new state variables, , For the rate of change of the new state variable, , y ( t ) is the maximum power point error, a transposed matrix of y ( t ), , ( t ) is the interference signal vector, for ( t ) the transposed matrix, , For total interference, , Is a diode bias term, For the diode bias vector, For the integral of the target error, For the target error, For maximum power point voltage, Depending on the wind direction angle β(t) and the rotational speed ω(t), For the DC input voltage, For DC output voltage, For the inductor current, i is the fuzzy rule number index, j is the fuzzy rule number index, γ is the interference resistance, α is the decay rate of the convergence rate, and r is the TS fuzzy rule number. For the TS (Takagi-Sugeno) fuzzy rule pre-measurement variable, Contains DC input current , u ( t ) is the duty cycle of the pulse width modulation signal PWM, For the ith normalization weight, For the jth normalized weight, Is the i-th first system matrix of the TS (Takagi-Sugeno) fuzzy subsystem, for Transposed matrix, Is the jth first system matrix of the TS (Takagi-Sugeno) fuzzy subsystem, for Transposed matrix, Is the i-th second system matrix of the TS (Takagi-Sugeno) fuzzy subsystem, for Transposed matrix, Is the jth second system matrix of the TS (Takagi-Sugeno) fuzzy subsystem, for Transposed matrix, The range of uncertainty parameter corresponding to the i-th first system matrix, The range of uncertainty parameter corresponding to the jth first system matrix, The range of uncertainty parameter corresponding to the i-th second system matrix, The range of uncertainty parameter corresponding to the jth second system matrix, For the ith external disturbance matrix, for Transposed matrix, For the ith total external interference matrix, , The output matrix for the ith rule, for Transposed matrix, For the ith gain matrix, , for Transposed matrix, For the ith state variable gain term, For the ith error integration gain term, for Transposed matrix, For the jth gain matrix, , for Transposed matrix, For the jth state variable gain term, For the jth error integral gain term, a positive definite matrix for the Lyapunov function, , for Inverse matrix, The uncertainty of the parameters of the i-th first system matrix, a first parameter matrix corresponding to the i-th first system matrix, for Transposed matrix, a first parameter matrix corresponding to the jth first system matrix, a time-dependent parameter variation diagonal matrix corresponding to the i-th first system matrix, a second parameter matrix corresponding to the i-th first system matrix, for Transposed matrix, a second parameter matrix corresponding to the jth first system matrix, for Transposed matrix, for Transposed matrix, , The uncertainty of the parameters of the i-th second system matrix, a first parameter matrix corresponding to the i-th second system matrix, for Transposed matrix, a first parameter matrix corresponding to the jth second system matrix, a time-dependent parameter variation diagonal matrix corresponding to the i-th second system matrix, a second parameter matrix corresponding to the i-th second system matrix, for Transposed matrix, a second parameter matrix corresponding to the jth second system matrix, for Transposed matrix, for Transposed matrix, , As the first replacement matrix, For the second replacement matrix, For the third replacement matrix, for Transposed matrix, For the fourth replacement matrix, For the fifth replacement matrix, I is the identity matrix and diag() is the diagonal matrix. In addition, when the voltage converter 32 is in the boost mode, Time, And the bias voltage of the second diode 44 is L is the inductance value of the inductor 40. When the voltage converter 32 is in the buck mode, Time, And the bias voltages of the first diode 38 and the second diode 44 are L is the inductance value of the inductor 40.

The above formula (1) is the system stability condition of the maximum power tracker 16 considering mode uncertainty, anti-interference ability and attenuation rate, and formula (2) is the state of the maximum power tracker 16 with mode uncertainty and external interference. Equation, equation (3) is the target error equation of the maximum power tracker 16, and equation (4) is the control law of the maximum power tracker 16, , , versus All are control gains, formula (4) is substituted into formula (2) and is combined with formula (3), and formula (5) is obtained as the closed loop control equation of wind power generation system. Equation (6) is the new closed loop control equation for wind power generation systems. Finally, formula (6) is substituted into formula (1). The fast and robust conditions of wind power generation system can be obtained by derivation, as shown in formula (7). Then the possible system uncertainty of the system Substituting the interference γ into the formula (7), the maximum power tracker 16 of the wind power generation system having the functions of tolerance mode uncertainty and anti-interference can be obtained, and then the attenuation rate α is added to enhance the wind power generation system under strong and stable conditions. The tracking rate of the maximum power tracker 16 is designed to meet the processor 30 required by the system, so that the system can withstand the mode uncertainty of component aging such as inductance and capacitance, and the interference caused by the diode bias and the external unstable wind field. At the same time, it enhances the resistance of the system when it encounters factors such as turbulence or gusts, improves the system convergence rate, and reduces the reaction time of the maximum power tracking of the wind power generation system. Through this control method, when the maximum power tracker 16 is applied to different electrical specifications, only the control gain needs to be changed, the parameters and components of the voltage converter 32 need not be adjusted, and the firmware process planning is not required to achieve robustness. Maximum power tracking. The maximum power tracker 16 can accurately capture the maximum power point under different wind speed and wind direction angles, and its tracking rate is much better than the traditional disturbance observation method.

The operation of the first embodiment will be described below. First, the wind turbines sequentially rotate the windmill rotor 24 and the shaft column 26 through the wind turbine blades 22 to generate mechanical energy. At the same time, the wind turbine blades 22 have a wind direction angle β(t) in response to the wind. Next, the three-phase generator 12 receives this mechanical energy to thereby operate at the rotational speed ω(t) and generate three-phase alternating current electrical energy TE. Then, the AC/DC converter 14 receives the three-phase AC power TE to convert the three-phase AC power TE into a DC input voltage. With DC input current . Voltage converter 32 receives DC input voltage With DC input current To generate a DC output voltage accordingly At the same time, the processor 30 detects the wind direction angle β(t) and the rotational speed ω(t). Then, the processor 30 receives the wind direction angle β(t), the rotational speed ω(t), and the DC input voltage. DC input current DC output voltage In order to perform the TS fuzzy control method to obtain the maximum power point, the processor 30 generates a pulse width modulation signal PWM according to the maximum power point. The operation of the voltage converter 32 is continued. First, the first capacitor 34 receives and stabilizes the DC input voltage. Then, the first electronic switch 36 and the second electronic switch 42 receive the pulse width modulation signal PWM to switch the switch state, so that the first diode 38 passes through the first electronic switch 36 according to the switching state of the first electronic switch 36. Receiving DC input voltage With DC input current The node voltage is established at the anode of the first diode 38. Inductor 40 receives this node voltage to generate an inductor current . Then, the second diode 44 receives the inductor current according to the switching state of the second electronic switch 42. To generate a new DC output voltage With DC output current . In addition, the second capacitor 46 simultaneously stabilizes the DC output voltage . In the above process, since the TS fuzzy control method adopted by the maximum power tracker 16 is implemented by a feedback architecture, the DC output voltage is With DC output current It will be continuously updated, and the TS fuzzy control method will be implemented by the above formulas (1), (2), (3), (4), (5), (6) and (7). DC output voltage With DC output current DC output voltage after generation With DC output current Output to the three-phase inverter 20 through the DC link circuit 18, and the three-phase inverter 20 converts the DC output voltage With DC output current It is converted to a three-phase AC voltage TV for use by the load 28.

The second embodiment will be described below, see Fig. 3. The difference between the second embodiment and the first embodiment is that the second embodiment lacks the DC link circuit 18, the three-phase inverter 20 and the load 28. The operation of the remaining components is the same as that of the first embodiment, and details are not described herein. .

In summary, the present invention utilizes a maximum power tracker to receive the wind direction angle, the speed of the generator, the DC input voltage, and the DC input current to perform the TS fuzzy control method based on the different generator speeds and different blade wind direction angles. In this case, quickly track the maximum power to wind power, improve tracking accuracy and wind energy usage.

10‧‧‧Wind machine
12‧‧‧Three-phase generator
14‧‧‧AC-DC converter
16‧‧‧Max Power Tracker
18‧‧‧DC link circuit
20‧‧‧Three-phase inverter
22‧‧‧Wind blades
24‧‧‧Wind rotor
26‧‧‧ shaft column
28‧‧‧ load
30‧‧‧ Processor
32‧‧‧Voltage Converter
34‧‧‧First capacitor
36‧‧‧First electronic switch
38‧‧‧First Diode
40‧‧‧Inductors
42‧‧‧Second electronic switch
44‧‧‧second diode
46‧‧‧second capacitor

Figure 1 is a schematic diagram of a prior art wind power generation system. Figure 2 is a block diagram of the system of the first embodiment of the present invention. Figure 3 is a block diagram of the system of the second embodiment of the present invention.

10‧‧‧Wind machine

12‧‧‧Three-phase generator

14‧‧‧AC-DC converter

16‧‧‧Max Power Tracker

18‧‧‧DC link circuit

20‧‧‧Three-phase inverter

22‧‧‧Wind blades

24‧‧‧Wind rotor

26‧‧‧ shaft column

28‧‧‧ load

30‧‧‧ Processor

32‧‧‧Voltage Converter

34‧‧‧First capacitor

36‧‧‧First electronic switch

38‧‧‧First Diode

40‧‧‧Inductors

42‧‧‧Second electronic switch

44‧‧‧second diode

46‧‧‧second capacitor

Claims (10)

A wind power generation system with maximum power tracking, comprising: a wind turbine having a wind turbine blade, the wind turbine generating a mechanical energy by using wind power, the wind turbine blade having a wind direction angle due to wind power; and a three-phase generator connecting the a wind turbine, and receiving the mechanical energy to operate at a rotational speed and generating three-phase alternating current electrical energy; an AC-DC converter connected to the three-phase generator to convert the three-phase alternating current electrical energy into a direct current input voltage and a DC input current; and a maximum power tracker connecting the wind turbine blade, the three-phase generator and the AC/DC converter to detect the wind direction angle and the rotation speed, the maximum power tracker receiving the wind direction angle, The rotation speed, the DC input voltage, and the DC input current are used to perform a TS (Takagi-Sugeno) fuzzy control method, and the maximum power tracker obtains the maximum DC input voltage and the DC input current by using the TS fuzzy control method. a power point, and accordingly, generates a DC output voltage and a DC output current; wherein the maximum power tracker further includes: a processor, the connection a wind turbine blade, the three-phase generator and the AC/DC converter, and detecting the wind direction angle and the rotation speed, the processor receiving the wind direction angle, the rotation speed, the DC input voltage, the DC input current, and the DC output a voltage according to which the TS fuzzy control method is performed to obtain the maximum power point, the processor generates a pulse width modulation signal according to the maximum power point; and a voltage converter connected to the AC/DC converter a processor to receive the DC input voltage and the DC input current, and receive the pulse width modulation a signal, and accordingly converting the DC input voltage and the DC input current to the DC output voltage and the DC output current. The wind power generation system of claim 1, wherein the wind turbine further comprises a wind turbine rotor coupled to the three-phase generator via a shaft column, the wind turbine blade being disposed on the windmill rotor, the wind passing through The wind turbine blade sequentially drives the windmill rotor and the shaft to rotate to generate the mechanical energy. A wind power generation system of maximum power tracking as claimed in claim 1, wherein the three-phase generator is a permanent magnet synchronous generator. A wind power generation system of maximum power tracking as claimed in claim 1, wherein the AC/DC converter is a three-phase full-wave rectifier circuit. The wind power generation system of claim 1, wherein the maximum power tracking circuit further comprises a DC link circuit connected to the maximum power tracker, and the DC output voltage and the DC output current are output through the DC link circuit. The wind power generation system with maximum power tracking as claimed in claim 5, further comprising a three-phase inverter connected to a load and the DC link circuit to receive the DC output voltage and the DC output current, and It is converted to a three-phase AC voltage for use by the load. The maximum power tracking wind power generation system of claim 1, wherein the voltage converter further comprises: a first capacitor connected to the AC/DC converter, and receiving and stabilizing the DC input voltage; a first electronic switch, Connecting the processor, the AC/DC converter and the first capacitor, and receiving the pulse width modulation signal to switch the switch state; a first diode having an anode connected to the cathode and a cathode connected to the first electronic switch, the first diode receiving the DC input voltage and the DC through the first electronic switch according to the switching state of the first electronic switch Inputting a current to establish a node voltage at the anode; an inductor connecting the anode and the first electronic switch, and receiving the node voltage to generate an inductor current; and a second electronic switch connecting the inductor, the An AC/DC converter and the processor, and receiving the pulse width modulation signal to switch the switch state; a second diode having an anode connected to the second electronic switch and the inductor, and according to the second electronic switch The switch state receives the inductor current to generate the DC output voltage and the DC output current; and a second capacitor connecting the cathode of the second diode to the AC/DC converter to stabilize the DC output voltage . The wind power generation system of maximum power tracking as claimed in claim 7, wherein the TS fuzzy control method is implemented according to the following formula: ,among them ; ,among them ,△ _ai ( t )= ( t ), , △ _bi ( t )= ( t ); ,among them , ;as well as Where [ K _{1 i} K _{2 i} ]= M _i X ^-1 , , i < j , and V ( x ( t )) is a Lyapunov function, ( x ( t )) is the rate of change of the Lyapunov function, x ( t ) is the system state variable, x ( t )=[ V _wdc ( t ) I _L ( t ) V _dc ( t )] ^T , ( t ) is the rate of change of the state variable of the system, t is time, x _w ( t ) is the new state variable, , ( t ) is the rate of change of the new state variable, , y ( t ) is the maximum power point error, and y ^T ( t ) is the transposed matrix of y ( t ), , v ( t ) is the interfering signal vector, v ^T ( t ) is the transposed matrix of v ( t ), , v ^' ( t ) is the total interference, , bs is the diode bias term, bi is the diode bias vector, and s ( t ) is the integral of the target error. ( t ) is the target error, V _obj ( t ) is the maximum power point voltage, V _obj ( t ) depends on the wind direction angle and the speed, V _wdc ( t ) is the DC input voltage, V _dc ( t ) is The DC output voltage, I _L ( t ) is the inductor current, i is the fuzzy rule number index, j is the fuzzy rule number index, γ is the interference resistance, α is the decay rate of the convergence rate, and r is the TS fuzzy rule. The number, z ( t ) is the TS (Takagi-Sugeno) fuzzy rule pre-measurement variable, z ( t ) contains the DC input current, u ( t ) is the duty cycle of the pulse width modulation signal, h _i ( z ) ( t )) is the i-th normalized weight, h _j ( z ( t )) is the jth normalized weight, and A _i is the i-th first systematic matrix of the TS (Takagi-Sugeno) fuzzy subsystem, A _i ^T is the transposed matrix of A _i , A _j is the jth first system matrix of the TS (Takagi-Sugeno) fuzzy subsystem, A _j ^T is the transposed matrix of A _j , and B _{i is} the TS (Takagi -Sugeno) the i-th second system matrix of the fuzzy subsystem, B _i ^T is the transposed matrix of B _i , B _j is the jth second systematic matrix of the TS (Takagi-Sugeno) fuzzy subsystem, B _j ^T is B _j The transposed matrix, γ _ai is the variation range of the uncertainty parameter corresponding to the i-th first system matrix, and γ _aj is the variation range of the uncertainty parameter corresponding to the jth first system matrix, and γ _bi is the i-th The uncertainty parameter variation range corresponding to the second system matrix, γ _bj is the variation range of the uncertainty parameter corresponding to the jth second system matrix, and E _i is the ith external interference matrix. Is the transposed matrix of E _i , For the ith total external interference matrix, , C _i is the output matrix of the i-th rule, For the transposed matrix of C _i , M _i is the ith gain matrix, M _i =( K _{1 i} + K _{2 i} ) X , Is the transposed matrix of M _i , K _{1 i} is the i-th state variable gain term, and K _{2 i} is the i-th error integral gain term, Is the transposed matrix of K _{2 i} , M _j is the jth gain matrix, M _j =( K _{1 j} + K _{2 j} ) X , Is the transposed matrix of M _j , K _{1 j} is the jth state variable gain term, K _{2 j} is the jth error integral gain term, P is the positive definite matrix of the Lyapunov function, v ( t )= X ^T PX , X is the inverse matrix of P , Δ A _i is the uncertainty of the parameter of the i-th first system matrix, and D _ai is the first parameter matrix corresponding to the i-th first system matrix, a transposed matrix of D _ai , D _aj is a first parameter matrix corresponding to the jth first system matrix, and Δ _ai ( t ) is a time-dependent parameter variation diagonal corresponding to the i-th first system matrix a matrix, E _ai is a second parameter matrix corresponding to the i-th first system matrix, a transposed matrix of E _ai , where E _aj is the second parameter matrix corresponding to the jth first system matrix, Transposed matrix for E _aj , ( t ) is the transposed matrix of Δ _ai ( t ), Δ A _i = D _ai Δ _ai ( t ) E _ai , Δ B _i is the uncertainty of the parameter of the i-th second system matrix, D _bi is The first parameter matrix corresponding to the i-th second system matrix, a transposed matrix of D _bi , D _bj is the first parameter matrix corresponding to the jth second system matrix, and Δ _bi ( t ) is a time-dependent parameter variation diagonal corresponding to the i-th second system matrix a matrix, E _bi is a second parameter matrix corresponding to the i-th second system matrix, a transposed matrix of E _bi , where E _bj is the second parameter matrix corresponding to the jth second system matrix, Is the transposed matrix of E _bj , ( t ) is a transposed matrix of Δ _bi ( t ), Δ B _i = D _bi Δ _bi ( t ) E _bi , A _ij is the first substitution matrix, For the second replacement matrix, For the third replacement matrix, for Transposed matrix, For the fourth replacement matrix, For the fifth replacement matrix, I is the identity matrix and diag() is the diagonal matrix. A wind power generation system with maximum power tracking as recited in claim 8 wherein Time, And the bias voltage of the second diode is V _D , where L is an inductance value of the inductor; Time, And the bias voltage of the first diode and the second diode is V _D , where L is an inductance value of the inductor. The maximum power tracking wind power generation system of claim 7, wherein the first electronic switch and the second electronic switch are both gold oxide half field effect transistors.