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Orbital Insertion Satellite Delta-V Thruster Burn (Aerospace Engineering) Solution

An aerospace mission analyst at the UNLV Howard R. Hughes College of Engineering is calculating the terminal orbit-raising propulsion burn for a communications satellite being inserted into geostationary transfer orbit (GTO). The satellite utilizes two bi-propellant reaction control thrusters aligned along orthogonal vehicle axes.

To minimize mechanical structural fatigue and tank pressure drop, mission controllers seek to minimize a quadratic propellant energy cost metric:

f(x,y)=3x2+y2f(x, y) = 3x^2 + y^2
where xx and yy represent directed thrust velocity changes (Δvx\Delta v_x and Δvy\Delta v_y, in kilometers per second, km/s\text{km/s}).

To achieve orbital capture and rendezvous with the required orbital plane, the velocity components must strictly satisfy the orbital mechanics flight constraint:

g(x,y)=2x+y=14g(x, y) = 2x + y = 14

  1. Formulate the gradient vectors ∇f(x,y)\nabla f(x, y) and ∇g(x,y)\nabla g(x, y) in component bracket form.
  2. State the vector equation of Lagrange multipliers ∇f=λ∇g\nabla f = \lambda \nabla g and decompose it into individual scalar component equations.
  3. Eliminate λ\lambda to establish a linear relationship between the required velocity burns xx and yy.
  4. Substitute this relationship into the flight constraint to solve for the optimal velocity increments (xopt,yopt)(x_{\text{opt}}, y_{\text{opt}}) and the multiplier λ\lambda.
  5. Compute the minimum propellant burn cost fmin⁡f_{\min}.
  6. Interpret the physical and mission engineering meaning of the Lagrange multiplier λ=dfoptdk\lambda = \frac{d f_{\text{opt}}}{d k}.

Step-by-Step Solution:

  1. Compute Gradient Vectors: State the Two-Variable Gradient Formula (defined in The Gradient Vector):

    ∇f=⟨∂f∂x,∂f∂y⟩,∇g=⟨∂g∂x,∂g∂y⟩\nabla f = \left\langle \frac{\partial f}{\partial x}, \frac{\partial f}{\partial y} \right\rangle, \quad \nabla g = \left\langle \frac{\partial g}{\partial x}, \frac{\partial g}{\partial y} \right\rangle
    Differentiate the objective function f(x,y)=3x2+y2f(x, y) = 3x^2 + y^2:
    ∇f(x,y)=⟨6x,2y⟩=6xi^+2yj^\nabla f(x, y) = \langle 6x, 2y \rangle = 6x\hat{i} + 2y\hat{j}
    Differentiate the constraint function g(x,y)=2x+yg(x, y) = 2x + y:
    ∇g(x,y)=⟨2,1⟩=2i^+j^\nabla g(x, y) = \langle 2, 1 \rangle = 2\hat{i} + \hat{j}

  2. Formulate the Lagrange Multiplier System: State the Lagrange Multiplier Vector System (defined in Lagrange Multipliers):

    ∇f=λ∇gandg(x,y)=14\nabla f = \lambda \nabla g \quad \text{and} \quad g(x, y) = 14
    Equate scalar components:
    i^:6x=2λ\hat{i}: 6x = 2\lambda
    j^:2y=λ\hat{j}: 2y = \lambda
    Constraint:2x+y=14\text{Constraint}: 2x + y = 14

  3. Eliminate λ\lambda and Relate Variables: From the i^\hat{i} equation:

    λ=6x2=3x\lambda = \frac{6x}{2} = 3x
    From the j^\hat{j} equation:
    λ=2y\lambda = 2y
    Equating the two expressions for λ\lambda:
    3x=2y  ⟹  y=1.5xorx=23y3x = 2y \implies y = 1.5x \quad \text{or} \quad x = \frac{2}{3}y

  4. Substitute into the Constraint: Substitute y=1.5xy = 1.5x into 2x+y=142x + y = 14:

    2x+1.5x=14  ⟹  3.5x=14  ⟹  72x=14  ⟹  x=14⋅27=4 km/s2x + 1.5x = 14 \implies 3.5x = 14 \implies \frac{7}{2}x = 14 \implies x = 14 \cdot \frac{2}{7} = 4\text{ km/s}
    Now calculate yy:
    y=1.5(4)=6 km/sy = 1.5(4) = 6\text{ km/s}
    Compute the multiplier λ\lambda:
    λ=3x=3(4)=12(or λ=2(6)=12)\lambda = 3x = 3(4) = 12 \quad (\text{or } \lambda = 2(6) = 12)
    The optimal thruster burn allocation is (xopt,yopt)=(4 km/s,6 km/s)(x_{\text{opt}}, y_{\text{opt}}) = (4\text{ km/s}, 6\text{ km/s}) with multiplier λ=12\lambda = 12.

  5. Compute Minimum Propellant Burn Cost: Substitute the optimal coordinates into f(x,y)f(x, y):

    f(4,6)=3(4)2+(6)2=3(16)+36=48+36=84f(4, 6) = 3(4)^2 + (6)^2 = 3(16) + 36 = 48 + 36 = 84
    The minimum propellant cost metric is fmin⁡=84f_{\min} = 84.

  6. Physical Interpretation of λ\lambda: State the Lagrange Multiplier Sensitivity Theorem (defined in Lagrange Multipliers):

    λ=dfoptdk\lambda = \frac{d f_{\text{opt}}}{d k}

    • Here, k=14 km/sk = 14\text{ km/s} represents the target orbital insertion parameter.
    • The multiplier λ=12\lambda = 12 means that if mission control increases the orbital insertion threshold from 14 km/s14\text{ km/s} to 15 km/s15\text{ km/s} (Δk=+1 km/s\Delta k = +1\text{ km/s}), the minimum fuel expenditure metric will increase by approximately Δf≈λΔk=12(1)=12 units\Delta f \approx \lambda \Delta k = 12(1) = 12\text{ units}.
    • Conversely, if orbit analysts can relax the required flight velocity constraint by 0.1 km/s0.1\text{ km/s} using an aerodynamic gravity assist, the required thruster burn cost will decrease by approximately 12(0.1)=1.2 units12(0.1) = 1.2\text{ units}.