A steepest descent algorithm is used to obtain a least-squares approximation for threedimensional, toroidal stellarator flux surfaces represented by a discrete set of Poincare puncture points. A stream function λ(ρ,θ,ϕ) is introduced as a renormalization parameter to improve the mode convergence properties of the double Fourier series for the inverse co-ordinates (R, Z) representing toroidally nested magnetic surfaces: R(ρ, θ,ϕ) = Σ Rmn(ρ) cos(mθ – nϕ) and Z(ρ, θ,ϕ) = Σ Zmn(ρ) sin(mθ − nϕ), where ρ is a scaled radial flux co-ordinate and (R, ϕ, Z) are standard cylindrical co-ordinates. The variable ϕ is the geometric toroidal angle, and θ is a parametric co-ordinate representing a poloidal angle. The stream function λ(ρ, θ,ρ) = Σ λmn(ϕ) sin(mθ–nϕ) and the rotational transform profile ι(ρ) are determined by solving a system of simultaneous linear equations obtained from the MHD equilibrium condition ∇ × ⋅∇ρ = 0, together with the stellarator condition for zero net toroidal current on each flux surface, ⟨∇ × ⋅∇ϕ⟩ = 0. Numerically computed Fourier representations are presented for vacuum configurations of the Advanced Toroidal Facility (ATF), Uragan-3 and TJ-II stellarator devices.
An approximate single fluid 3-dimensional magnetohydrodynamic equilibrium model with toroidal flow