Wind Energy Capture Control Of Active Yaw Wind Turbine With Maglev

The key to efficient wind energy capture is the fast tracking of optimized speed and accurate active yaw of wind turbine blades under the condition of time-varying wind speed and direction.However,the high power of wind turbine leads to the slow dynamic process of wind energy capture machinery.In particular,the multi gear and multi motor structure of traditional yaw device increases the failure rate and loss in the process of active yaw,which usually reduces the frequency of active yaw.In order to ensure the safety of the system and reduce the power consumption,the efficiency of wind energy capture is greatly reduced.Therefore,this thesis proposes a wind energy capture system with magnetic levitation active yaw horizontal axis wind turbine,and studies the wind energy capture system model construction,wind energy capture maximum power point tracking(MPPT)control and wind energy capture yaw upwind control.Model construction of wind energy capture system: The operation mechanism of wind energy capture system with magnetic levitation active yaw wind turbine is analyzed.Based on traditional wind turbine operation stage division,the operation area is reasonably divided into start-up area,suspension capture area,damping MPPT area,damping constant power control area and braking area,and the control mechanism of each area is analyzed.The equivalent wind speed model,the fan system model,the permanent magnet synchronous generator model based on generator side converter control,and the suspension air gap control and yaw damping control models of axial disc motor under different working modes are constructed.MPPT control of wind energy capture: Aiming at the problems of frequency variation of wind speed and slow dynamic speed of wind energy capture machinery,which seriously restrict the capture efficiency,an adaptive high-order sliding mode super twist speed tracking controller is proposed based on the traditional PID and integral sliding mode control,which makes online adaptive approximation to the uncertainties of high-order sliding mode boundary layer and system parameters,so as to weaken the chattering of the system.At the same time,the Lyapunov stability proof of the proposed algorithm is completed.The simulation platform of MPPT adaptive high-order sliding mode control for wind energy capture in non-yaw damping mode is built by using double closed-loop control mechanism of speed and current.The simulation results show that compared with PID and integral sliding mode control,the adaptive high-order sliding mode control is faster in 0.03 s after the reference change,the steady-state error is only0.0012rad/s,the chattering of the system is weakened,the amplitude of the control input torque current is only 10 A,and the fluctuation amplitude of the output power is greatly reduced compared with the integral sliding mode.At the same time,the simulation results show that the adaptive control is effective in dealing with the system interference.Yaw upwind control of wind energy capture: Aiming at the problem that it is relatively difficult to obtain the effective wind speed,combined with the operation mechanism of magnetic levitation yaw system,a kind of effective wind speed soft sensing technology based on yaw load torque observer is designed.Aiming at the multi-channel and multi kinds of interference in the cabin suspension system,the matching interference transformation is carried out,and the state variables after interference transformation are effectively solved.In this thesis,a sliding mode tracking control strategy for engine room suspension based on sliding mode state observer is proposed,and the effectiveness of the algorithm is verified by the comparison of Lyapunov stability proof and simulation experiment.For the ultra-low speed control problem of axial disc motor in yaw mode,a sliding mode observation robust adaptive compensation speed controller is designed,and the multi model parameters are adaptively adjusted.By means of constraint transformation,the influence of approximation speed difference and overall error of multi model parameters on the system performance is solved.Through simulation experiments,PID and observer + sliding mode controller are compared,and the advantages of the algorithm in tracking performance,dynamic response speed and anti-interference ability are verified.The adaptive high-order sliding mode control strategy is applied to yaw upwind control,and the simulation results show that the algorithm is effective.The experimental results show that the adaptive control can effectively reduce the tracking error to the minimum,and the maximum power coefficient can respond quickly and always keep at the maximum value in the process of yaw upwind.