Control Algorithm of Static Loading Test for Wind Turbine Blades Based on Fuzzy Theory

Abstract

In the process of full-scale static loading test of wind turbine blades, the loading forces all had relatively strong coupling effect, which seriously affected the accuracy of the test result. In order to eliminate this effect, firstly, a vertical static loading device for 10MW wind turbine blades was established and the coupling rule of loading force was obtained. Then, a control algorithm was put forward based on fuzzy theory. This algorithm took the error of loading force, error's change rate as the input variables and the opening degree of proportional valve as the output variable. A control strategy based on this algorithm was constructed. In the end, the static device took the max flapwise of aeroblade5.0-62 wind turbine blade as example to conduct loading test. The result suggested the algorithm in this paper could ensure that the loading forces on five nodes always kept uniform changing and the control errors were respectively less than±2KN, ±2KN,± 2KN,± 2KN and±1KN. When in the 100% phase, the loading force could be finely maintained at the set value. The statistical results showed that the error rates of loading force with control algorithm were smaller than those without control algorithm. The test results verified the feasibility of control strategy applying to full-scale static loading test for wind turbine blades.

Research on the Follow-Up Control Strategy of Biaxial Fatigue Test of Wind Turbine Blade Based on Electromagnetic Excitation

“…Chan et al [16] used neural networks to realize steady-state tracking based on chiller stability problems. Zhang et al [17] have applied fuzzy theory to the static loading test of wind turbine blades.…”

“…Huang et al [12] applied the LMS algorithm to the blade sub-component test, but its convergence speed was limited and was not suitable for the high-frequency scenario of this test. Zhang et al [17] adopted a fuzzy control strategy in the static test, and the fuzzy control can better realize the adaptive change of output. Still, its static load scenario is to maintain the constant force, which is quite different from the time-varying system in this paper.…”