System modeling and instability control of wind turbine blade based on hydraulic pitch system and radial basic function neural network proportional–integral–derivative controller

Abstract

System modeling and aeroservoelastic control for divergent instability of stall-induced composite wind turbine blade modeled as thin-walled symmetric layup beam analysis have been investigated based on hydraulic pitch system and radial basic function neural network control. The blade is modeled as single-cell thin-walled beam structure with the circumferentially asymmetric stiffness design, exhibiting flap/lead-lag bending coupling deformation. The stall flutter and aeroservoelastic control of composite blade are investigated based on dynamic stall Beddoes-Leishman aerodynamic model and radial basic function neural network proportional-integral-derivative controller, with pitch actuator performed by hydraulic system. The system motion equations consist of the aeroelastic equations and the six-order pitch equation. The nonlinear aeroelastic responses, including both flap/lead-lag responses and pitch angle responses under different parameters, are solved by Galerkin method and the nonlinear time integration scheme with nonlinear residual analysis. To verify the effectiveness of the control scheme and realize visualized display of large thin-walled blade in the laboratory, experimental platform based on hardware-in-the-loop simulation is built to realize real-time control and virtual simulation. The platform structure consists of PLC hardware, monitoring interface in configuration software, and simulation environment that is connected by the OPC server with PLC system. The platform lays the foundation for vibrational behavior research on visualization of large wind turbine blade under divergent stall situation and verifies the real-time feasibility of the control algorithm proposed.

Divergent instability control of aeroelastic system driven by aerodynamic forces under disturbance based on discrete sliding mode control algorithms

“…An experimental platform was built based on hardware-in-the-loop simulation and Object Linking and Embedding (OLE) for Process Control (OPC) technology to testify the real-time effect of intelligent control algorithms in Liu. 19 However, it is a complex technical operation process. For discrete algorithms, the PLC controller only needs to collect the discrete data variables from the controlled aeroelastic system and transmit the discrete control signals directly to the aeroelastic system.…”

Vibration Control of Blade Section Based on Sliding Mode PI Tracking Method and OPC Technology

“…In view of the difficulties of wind tunnel testing in verifying 2D airfoils, an experimental platform based on humancomputer interaction is implemented with the PI controller executed in Siemens s7-200 PLC hardware using OPC technology [15] to verify the effectiveness of the SM-PI algorithm. Figure 7 demonstrates the experimental planning and platform (a) and experimental results displayed in touch screen (b).…”

“…(2) e core of OPC technology is the OPC-Server, a built-in PC. It is based on the MATLAB simulation environment in PC and combines the OPC definition function of PC-Access software to realize it [15]. (3) e OPC technology realizes the data interactive transmission through the "read" and "write" operation of Server, and the "read" and "write" operation is realized through the PC-PPI cable.…”

“…(3) e OPC technology realizes the data interactive transmission through the "read" and "write" operation of Server, and the "read" and "write" operation is realized through the PC-PPI cable. For technical operation and detailed configuration of OPC technology and communication parameters, please refer to [15]. (4) e touch screen (TS) connected to the 485 serial port in PLC is used to display the result signals.…”

“…Since the PID algorithm is easy to be combined with SMC as mentioned above [7] and easy to be executed in the PLC controller, the expansion algorithm of nominal SMC based on PI controller is further applied to make use of the experiment to verify the effectiveness of the control algorithm in the present study. An experimental platform based on human-computer interaction is implemented to verify the algorithm effectiveness, with the PI controller executed in PLC hardware using OPC technology that was originally demonstrated in [15]. Figure 1 shows the coordinate system of pretwisted blade sections of the wind turbine.…”