38results about "Fuzzy logic alogrithms" patented technology

A wind turbine with a sensor that measures the out-of-plane deflection of the blades and a controller that uses the signal from the sensor to determine the risk of a tower strike. The controller takes any necessary action to prevent a tower strike when it determines that the risk of a strike is high. The sensor can include strain gages or accelerometers mounted on the blades or it can include a fixed sensor mounted on the side of the tower to measure tower clearance as the blade passes by. The control action taken can include pitching blades, yawing the nacelle, or stopping the turbine. The controller is preferably a fuzzy logic controller.

A wind turbine with a sensor that measures the out-of-plane deflection of the blades and a controller that uses the signal from the sensor to determine the risk of a tower strike. The controller takes any necessary action to prevent a tower strike when it determines that the risk of a strike is high. The sensor can include strain gages or accelerometers mounted on the blades or it can include a fixed sensor mounted on the side of the tower to measure tower clearance as the blade passes by. The control action taken can include pitching blades, yawing the nacelle, or stopping the turbine. The controller is preferably a fuzzy logic controller.

A system to control a wind turbine, including meteorological instruments for measuring ambient climatic conditions, and generating corresponding meteorological signals, a memory for storing an icing tolerance, a first calculator for calculating an overall icing probability based on the meteorological signals and a controller for stopping the wind turbine when the overall probability of icing is greater than the icing tolerance. Also disclosed is a method for controlling a wind turbine, including the steps of a) measuring ambient climatic conditions and generating corresponding meteorological signals; b) storing in memory an icing tolerance; c) calculating an overall probability of icing based on the meteorological signals; and d) stopping the wind turbine when the overall probability of icing is greater than the icing tolerance.

The invention relates to a wind power variable-pitch multi-variable fuzzy neural network PID control method. The control method includes the following steps that a fuzzy parameter setting module is used for presetting the weight of a PID neural network module; the error between a rotating speed reference value and the actual rotating speed output of a wind driven generator is calculated through a PID calculation module to obtain a reference output quantity of torque of the wind driven generator; the error between the power output value and the power reference value of the wind driven generator and the error change rate are set through the fuzzy parameter setting module to obtain a presetting parameter of the weight of the PID neural network module; through a negative gradient algorithm with a momentum factor, the weight of the PID neural network module is trained, and the reference value output of torque and the reference value output of the pitch angle of the wind driven generator are adjusted. The output power of the wind driven generator can be stabilized nearby a rated valve, and safety of a fan is ensured.

The invention discloses an individual pitch control system with a controller policy and a pitch control method, and belongs to the technical field of wind power industry. The individual pitch control system comprises a wind driven generator unit main control controller, a variable pitch controller, three sets of servo drives corresponding to blades, a spare power supply, a pitch control motor, an encoder and a limiting switch; the variable pitch controller is respectively communicated with the wind driven generator unit main control controller and the three servo drives; each servo drive is respectively connected with the pitch control motor, the motor encoder, the spare power supply and the limiting switch; the motor encoder is mounted at the tail end of the pitch control motor; and the angle encoder is engaged and linked with blade bearing inner teeth through measuring gears. The individual pitch control system can realize individual pitch control function through the variable pitch controller, realizes safety protection for fault diagnosis, state monitoring, lightning protection and battery management, can properly reduce the fatigue load of fan blades, prolongs the unit service life, is simple and reliable in control, has no need to additionally provide excessive hardware, is lower in cost, and is higher in safety.

A kite system includes a kite and a ground station. The ground station includes a sensor that can be utilized to determine an angular position and velocity of the kite relative to the ground station. A controller utilizes a fuzzy logic control system to autonomously fly the kite. The system may include a ground station having powered winding units that generate power as the lines to the kite are unreeled. The control system may be configured to fly the kite in a crosswind trajectory to increase line tension for power generation. The sensors for determining the position of the kite are preferably ground-based.

A kite system includes a kite and a ground station. The ground station includes a sensor that can be utilized to determine an angular position and velocity of the kite relative to the ground station. A controller utilizes a fuzzy logic control system to autonomously fly the kite. The system may include a ground station having powered winding units that generate power as the lines to the kite are unreeled. The control system may be configured to fly the kite in a crosswind trajectory to increase line tension for power generation. The sensors for determining the position of the kite are preferably ground-based.

The invention provides a power tracking method of a wind power generation system free of a wind speed sensor. The method comprises following steps: a motion equation of the maximum power tracking control of the wind power generation system is established; iterative optimization is performed on output power and rotor speed at the variable wind speed with the adoption of a variable step size algorithm, the maximum power point is tracked, and the optimal tip speed ratio is obtained by calculation; a fuzzy controller is adopted as a power controller, errors and error change rate of the tip speed ratio are taken as input, variable quantity of stator side regulation voltage is taken as output, a fuzzy rule is formulated, the output of the fuzzy controller is subjected to ambiguity resolution operation, and the corresponding accurate variable is obtained; the rotating speed of an electric generator is adjusted according to the variable quantity of stator side regulation voltage, control tracking for the rotor speed of the wind power generation system is realized, and the maximum power of the wind power generation system is tracked; adverse effects on output power of the wind power generation system under the conditions of inaccurate wind speed measurement and lagged wind speed measurement are avoided.

The invention discloses a method of load shedding of a floating wind turbine generator system based on semi-active structure control of a magneto rheological damper. The method includes the following steps: (1) analyzing the structure of the magneto rheological damper, obtaining a force-displacement relationship of the magneto rheological damper; (2) establishing an equation of motion of a multi-degree of freedom system of an offshore floating wind turbine generator system which is configured with the magneto rheological damper, and establishing equations of motion of the wind turbine generator system and the magneto rheological damper; (3) controlling the magneto rheological damper through a LQR controller and a Fuzzy controller so as to reduce the pitch angle of the floating wind turbine generator system and the longitudinal displacement of a nacelle. According to the invention, the method overcomes the defects of passive control and active control in structural control of a damper, requires less extra energy, requires simple apparatus and is not less susceptible to stability loss, can effectively reduce total load of the floating wind turbine generator system, guarantees stability of a platform, and further increases service life and energy quality of output electricity of a wind turbine generator.

The invention discloses a variable-pitch control method based on fuzzy feedforward and fuzzy-PI. The variable-pitch control method comprises fuzzy feedforward control and fuzzy-PI control. A proper feedforward compensation angle is provided according to the interference of the fuzzy feedforward control with the wind speed, and the feedforward compensation angle pluses an output pitch angle of the fuzzy-PI control to serve as the reference value of the pitch angle; and according to the fuzzy-PI control, the fuzzy-PI control is double-mode control composed of the fuzzy control and the PI control; and when the power change range is large, the fuzzy control is adopted, and when the power change range is small, the PI control is smoothly switched to through a nonlinear function. By the adoption of the variable-pitch control method based on the fuzzy feedforward and the fuzzy-PI, the problem that only PID control is used in a strong-nonlinearity wind power system and consequently the satisfactory control effect cannot be achieved is solved, the design difficulty of a controller is lowered, the dynamic-static feature of the system is improved, the output power of an electric generator can be quickly stabilized to be near the rated value, and the impact of wind-power integration on a grid is reduced.

The invention discloses a quick non-linear fuzzy predictive control method for a speed regulating system of a pumped storage unit. The quick non-linear fuzzy predictive control method includes the three steps of fuzzy PID parameter self-adaption, online rolling prediction and control law computing. By the adoption of the control method, the function that the fuzzy PID control parameters are adjusted automatically along with the working conditions is achieved, the future system state is predicted through a pumped storage unit speed regulating system non-linear model built in a controller by means of the online rolling prediction method, and the future system state quantity deviation information is considered when a real-time control law is set. By the adoption of the quick non-linear fuzzy predictive control method, the requirements of the control process of the pumped storage unit under different working conditions can be met, the control precision of the unit is improved effectively, and the transient state performance of the operating process of the unit is improved.

The invention provides a wind speed feedforward and fuzzy PID combined variable-pitch control method. The control method is characterized in that when a power error is relatively large, a fuzzy controller is adopted, and a PID controller is adopted when the power error is relatively small. The control method simultaneously utilizes the characteristics of the rapidity of the fuzzy controller and the precision of the PID controller, and a soft switch mode is adopted in the process of switching between the fuzzy controller and the PID controller. According to the wind speed feedforward and fuzzyPID combined variable-pitch control method, a smoothing function is adopted, and the output proportion of the fuzzy controller and the output proportion of the PID controller are adjusted in real timeaccording to the magnitude of the power error, so that the problem of discontinuous output caused by direct switching between the controllers is solved, and the output stability of a system is effectively maintained; and meanwhile, feedforward adjustment of a pitch angle is performed in real time through the measured wind speed, so that a proper feedforward pitch angle can be given according to the characteristics of the wind speed, and the response characteristic of the system is improved.

A present invention relates to a novel hybrid intelligent control system and method for power generating apparatuses, in which the control system comprises: a fuzzy sliding mode speed controller, embedded with a fuzzy inference mechanism so as to be used for controlling the speed of a power generating apparatus; and a radial basis function network (RBFN) pitch controller, being embedded with an on-line training RBFN so as to be used for controlling the pitch angle of a turbine coupled to the power generating apparatus. In a variable-speed energy conversion system using the aforesaid control system, the turbine can be driven to operate at its maximum efficiency by adjusting its blade pitch angle in response to the variation of the input flowing into the turbine, while allowing the shaft speed of the power generating apparatus to be controlled by a fuzzy interference mechanism so as to achieve its maximum power output.

The embodiment of the invention provides an intelligent optimization wind turbine yaw control method and device and a wind turbine. The method comprises the following steps of correcting a wind direction deviation value by adopting a preset fuzzy neural network prediction algorithm; controlling the starting of a yawing mechanism by respectively adopting different differentiated control strategiesfor high wind speed and low wind speed; and adjusting the direction of the yawing mechanism by adopting a hill climbing algorithm to find the maximum output power. The intelligent optimization wind turbine yaw control method and device and the wind turbine provided by the embodiment of the invention adopt the differentiated control strategy under high and low wind speeds, so that yaw action conditions are refined, and yaw action is more accurate.

The invention discloses a pitch and torque instruction processing system of a main control system of a wind turbine. The pitch and torque instruction processing system comprises a controller input unit, a pitch control unit and a torque control unit; the controller input unit comprises a generator rotating speed module, a rotating speed setting module and a switching control module; the pitch control unit comprises a pitch controller and a pitch amplitude limiting module; the torque control unit comprises a torque controller and a torque amplitude limiting module; and the generator rotating speed module and the rotating speed setting module are used for obtaining rotating speed deviation, the switching control module is used for determining the rotating speed deviation to serve as input ofthe pitch controller or the torque controller, a pitch instruction or a torque instruction is obtained through input determination, and therefore pitch changing or flow changing is achieved. According to the pitch and torque instruction processing system, smooth switching of the wind turbine under various power generation working conditions can be achieved, and maximum power operation of the windturbine under various working conditions is achieved; meanwhile, the wind turbine can be prevented from frequently entering and exiting from a rated working point through the switching control module, the reliability of the wind turbine is improved, and the service life of the wind turbine is prolonged.

A system to control a wind turbine, including meteorological instruments for measuring ambient climatic conditions, and generating corresponding meteorological signals, a memory for storing an icing tolerance, a first calculator for calculating an overall icing probability based on the meteorological signals and a controller for stopping the wind turbine when the overall probability of icing is greater than the icing tolerance. Also disclosed is a method for controlling a wind turbine, including the steps of a) measuring ambient climatic conditions and generating corresponding meteorological signals; b) storing in memory an icing tolerance; c) calculating an overall probability of icing based on the meteorological signals; and d) stopping the wind turbine when the overall probability of icing is greater than the icing tolerance.

The invention provides a wind generation set control method and system, and relates to the technical field of wind power generation. The wind generation set control method comprises the following steps of acquiring wind speed and a current value and a voltage value of a wind generation set collected by an information acquisition module; determining a target pitch angle of the wind generation set according to the current value and the voltage value of the wind generation set, the wind speed, and the preset optimum leaf edge speed ratio range; acquiring an azimuth angle of wind turbine blades, and determining pitch angles to be adjusted of the turbine blades based on the azimuth angle and the target pitch angle; and controlling the wind generation set to adjust the pitch angles of the turbine blades according to the pitch angles to be adjusted of the turbine blades. The aerodynamic load which the turbine blades are subjected to can be made as small as possible under the premise of ensuring the stabilization of output power of the wind generation set, so that the mechanical wastage of the wind generation set is reduced. Cooperative control over the output power of the wind generationset and the aerodynamic load which the pitch angles are subjected to is realized.

A method for controlling pitching of at least one rotor blade of a wind turbine includes receiving, via one or more position localization sensors, the position data relating to the at least one rotor blade of the wind turbine. Further, the method includes determining, via a controller, a blade deflection signal of the at least one rotor blade based on the position data. Moreover, the method includes determining, via a computer-implemented model stored in the controller, a pitch command for the at least one rotor blade as a function of the blade deflection signal and an azimuth angle of the at least one rotor blade.

A method for controlling pitching of at least one rotor blade of a wind turbine includes receiving, via one or more position localization sensors, position data relating to the at least one rotor blade of the wind turbine. Further, the method includes determining, via a controller, a blade deflection signal of the at least one rotor blade based on the position data. Moreover, the method includes determining, via a computer-implemented model stored in the controller, a pitch command for the at least one rotor blade as a function of the blade deflection signal and an azimuth angle of the at least one rotor blade.

The invention discloses a full feathering energy shortage early-warning method for a wind generating set variable pitch system. The method comprises the following steps that a master controller transmits a starting command, and the master controller controls paddles to reach intended acceleration positions from standby positions at the set speed; a variable pitch controller calculates energy needed by the system during the period from test beginning to test ending; and the variable pitch controller conducts logical judgment according to calculation values, and whether current energy of a standby power source can meet full feathering of the time or not is judged. According to the full feathering energy shortage early-warning method for the wind generating set variable pitch system, on the basis that an original hardware system is maintained unchanged, calculation of the energy consumed in the paddle opening process of the variable pitch system is achieved through software of the variable pitch controller, and logical judgment is conducted according to the calculation values.

The invention discloses a wind power system cooperative power smoothing method based on rotor kinetic energy storage and variable pitch, belongs to the technical field of wind power, and solves the technical problem that in a full-wind-speed operation range, a traditional variable coefficient control method based on the rotating speed is difficult to accurately respond to wind speed changes after variable pitch control is introduced. According to the technical scheme, the method comprises the following steps that S1, according to the rotor kinetic energy principle, an active reference value of a given fan power controller is determined so as to smooth wind power fluctuation, that is, a filter GLF is cascaded after traditional maximum power tracking control reference power; s2, on the basis of power smoothing under the full wind speed, model-free self-adaptive variable pitch control is introduced, and control over the output power and the rotating speed of the draught fan in the full wind speed interval is achieved; and S3, considering the cooperative control of the kinetic energy and the variable pitch of the rotor under the full wind speed, adopting a fuzzy variable filter coefficient strategy based on wind speed estimation, and remarkably improving the power smoothing effect under the full wind speed through real-time control of the filter coefficient.

The invention discloses a control method for a full-hydraulic wind-tide hybrid power generator. The method comprises the following control modes that (1) electric pitch control is conducted, a reference voltage value at a rated wind speed is set in a fuzzy PID algorithm preset in a central control unit, a voltage signal of real-time wind speed fed back by an anemorumbometer is compared with the reference voltage value, whether electric pitch operation of pneumatic impellers needs to be conducted or not is decided, and a tide impeller adopts the same control method; (2) rotary speed signals of a first rotary speed torque sensor on a wind energy collector and a second rotary speed torque sensor on a tide energy collector and displacement signals of two variable pumps are input into the central control unit and handled through the fuzzy PID algorithm, and the opening degree of a flow divider is controlled according to the handling results; (3) best power tracking control is conducted; and (4) the hydraulic system pressure is adjusted and controlled. Through the method, control is flexible, the reliability is high, and the power generation efficiency is high.

The present invention discloses a method and system for dynamic optimization of a wind farm based on real-time data adaptive regulation, which relates to the technical field of wind farm optimization. The method includes: acquiring wind farm environmental data and wind turbine status data, mapping them to a state space model, and aligning them within the same time step; constructing a wind farm dynamic optimization objective, calculating the uncertainty degree, dynamic importance degree, and target collaborative contribution rate, constructing a fuzzy analytic hierarchy process matrix, solving to obtain the weight of the wind farm dynamic optimization objective, and constructing a dynamic optimization objective function; constructing wind farm constraints, solving the dynamic optimization objective function to generate an optimal control parameter set, inputting it into a safety barrier function for verification, and after passing the verification, performing wind farm dynamic optimization. By constructing a wind farm dynamic optimization objective, power coordination optimization within the entire field is achieved, and wake damage is reduced; by introducing a safety barrier function and a fault tolerance control mechanism, the overall optimization efficiency and reliability of the wind farm are improved.

The invention relates to the technical field of variable-speed wind turbine generator control, and discloses a wind turbine generator active power control method, system and device and a medium, and the method comprises the steps: S1, calculating a normalized power tracking error and a power tracking error variable quantity; s2, designing a fuzzy controller based on S1, and dynamically updating filtering parameters; s3, designing a double-stage control architecture based on the filtering parameters updated in S2; s4, based on the double-stage control architecture designed in the S3, designing a kinetic energy utilization coefficient, and redefining a rotating speed tracking error; and S5, based on the torque reference values generated in S3 and S4, a final torque reference value is generated through a torque controller, and power control is achieved in cooperation with a pitch angle controller. The method can fully coordinate the response characteristic difference of the variable pitch and torque execution mechanisms of the wind turbine generator, effectively improves the power tracking performance, and reduces the load of the variable pitch system.

An intelligent fuzzy variable frequency yaw control system comprises a power supply module, a rectifier module, an inverter module, an LC filter module and a yaw motor module which are electrically connected in sequence, and also comprises a control core board and a data acquisition module, wherein the data acquisition module is electrically connected to the control core board, and the control core board is electrically connected to the inverter module; the present invention provides an intelligent fuzzy variable frequency yaw control system and method, which realizes an intelligent variable frequency and variable speed yaw function, and can output a corresponding frequency value according to the current wind direction and yaw angular velocity, thereby controlling the yaw speed of the wind turbine, and this control method realizes that the output frequency value changes with the change of yaw displacement angle and yaw angular velocity. It changes with the wind. When the yaw displacement angle is large, the variable frequency yaw is performed at a higher speed to face the wind, which greatly improves the efficiency of wind energy utilization. At the same time, as the yaw displacement angle becomes smaller, the yaw speed of the motor will also decrease accordingly, realizing the "soft landing" function. At the same time, if the displacement angle is large and the yaw angular velocity is zero or small, it will not start at a large speed, realizing the "soft start" function. This method has less vibration for the unit and will not cause the vibration of the fan to affect the equipment. At the same time, it can yaw to face the wind in an intelligent variable frequency manner, which increases the power generation, improves the wind energy utilization rate, and improves the power generation efficiency.

The invention discloses a fuzzy expert system-based fan safety chain fault analysis method and system. The method comprises the steps of collecting all operation data of safe operation of a wind driven generator; performing fault analysis on the operation data by using a fuzzy expert system; and if a the set has a fault in operation, performing emergency shutdown, and making the set offline. The fault analysis is performed on the safe operation data of the wind generating set by utilizing the fuzzy expert system to determine a fault occurrence type, and with the combination of historical data in a certain time period, the fault analysis accuracy is improved, and the fault maintenance time is shortened; and the system further has a data display function, so that a worker can conveniently check the operation state at any time.

The embodiment of the invention provides a variable pitch control method of a wind generating set. The variable pitch control method comprises the steps that the overspeed percentage of the rotating speed of a generator of the wind generating set and the overspeed percentage change rate are obtained; and determining the additional variable pitch rate of the wind generating set by using a fuzzy control method based on the obtained overspeed percentage of the rotating speed of the generator of the wind generating set and the overspeed percentage change rate. The additional variable pitch rate of the wind generating set determined by the method is a continuously changing numerical value, so that the wind generating set can reduce the overspeed trend, vibration of the wind generating set cannot be caused, and normal and stable operation of the wind generating set is ensured.

The invention discloses a load reduction method for a floating wind turbine based on the semi-active structure control of a magnetorheological damper, comprising the steps of: 1) analyzing the structure of the magnetorheological damper to obtain the force-displacement relationship of the magnetorheological damper 2) Establish the motion equation of the multi-degree-of-freedom structural system of the offshore floating wind turbine equipped with the magnetorheological damper, and establish the motion equation of the wind turbine and the magnetorheological damper; 3) use the LQR controller and the Fuzzy controller to control the magnetic The rheological damper is controlled to reduce the platform pitch angle of the floating wind turbine and the longitudinal displacement of the nacelle. The present invention abandons the shortcomings of passive control and active control in damper structure control, requires little external energy for control, is simple in device, is not easy to lose stability, can effectively reduce the overall load of floating wind turbines, and to a certain extent Ensure the stability of the floating platform, thereby improving the service life of the wind turbine and the quality of output power.