Under increased angle of attack and Mach number, flow separation and stall occur on the airfoil surface, impacting the distribution of the lift. In other words, the relationship between lift coefficient, angle of attack, and Mach number becomes irregular, rendering it impossible to obtain the coefficients of a simple polynomial.
Calculating the load of a helicopter blade under dynamic stall conditions is highly challenging. Vortex theory and Navier-Stokes numerical calculation, which both show reasonable accuracy, are commonly applied to solve this problem. However, the complexity of these calculation processes affects their real-time performance [14] . A simplified stall model that is quick (without sacrificing accuracy) is necessary to remedy this.
The lift coefficient under steady state is easy to obtain through experimentation, so a semi-empirical model is often adopted based on data obtained from experiments. Many semi-empirical dynamic stall models have been applied to aircraft research -- the two most commonly utilized are the Beddoes-Leishman model and the ONERA model. The Beddoes-Leishman model mainly focuses on simplifying calculations, deriving a series of ordinary differential equations to calculate the lift coefficient. The ONERA semi-empirical model uses both a first and second-order differential equation to describe the unstable behavior of a rotor. The inviscid contribution is described by the first-order differential equation, and the second-order differential equation calculates stall delay plus lift increments. These two models often contain some of the necessary parameters, but determination of these parameters is typically based on dynamic or static measurement data for specific airfoils, which makes the models all together rather inconvenient. The Snel stall model is adopted in this paper to remedy this [15].
The Snel stall model, first proposed by H. Snel [16, 17], is typically applied to the elastic stall effect of wind turbines. The model, which is based on lift coefficient under steady state, consists of two parts: one describing the forcing frequency response, and one describing the higher frequency of a self-excited nature. The lift coefficient is expressed as follows:
(4)
where ∆Cl,1 and ∆Cl,2 are obtained by first and second-order differential equations, respectively [18] . The differential equations are:
(5)
where time is a constant parameter , c denotes the chord of the airfoil, and V is the relative velocity, .
According to the Snel model, C10 can be denoted:
(6)
where ∆ = 2π sin(α - αZ) - Cl(steady), αZ is the zero lift angle of attack, Cl(steady) is the lift coefficient in the steady state, and F1(ϕ) is the frequency of the forcing term of the first-order differential equation, obtained as follows:
(7)
According to the description by V. K. Truong and H. Snel, C21 can be written as follows:
(8)
C20 is expressed:
(9)
The forcing term of the first-order differential equation concerns the difference between lift coefficient and potential flow and steady state:
(10)
According to the model, it is possible to determine the lift coefficient even in a stall condition. The magnitude of drag is small compared to lift, according to J. G. Leishman [19] . As for the definition of the drag coefficient, an approximate expression is effective:
(11)
where αS is the threshold value for the stall, and the values of a0, a1, and a2 can be obtained dependent on the specific airfoil.
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