New instance of Space Shuttle ( Task #4)

@frapac
As discussed, I added the model of space shuttle inspired from [Constructive Methods for Initialization and Handling Mixed State-Input Constraints in Optimal Control](https://cas.mines-paristech.fr/~petit/papers/jgnc08/main.pdf).
I created the 2 model files : with `JuMP` [space_Shuttle_JMP_V2](https://github.com/0Yassine0/COTS.jl/blob/main/Problems/JuMP/space_Shuttle_JMP_V2.jl) and `OptimalControl` [space_Shuttle_OC_V2](https://github.com/0Yassine0/COTS.jl/blob/main/Problems/OptimalControl/space_Shuttle_OC_V2.jl) and a notebook [testSpaceShuttleV2](https://github.com/0Yassine0/COTS.jl/blob/main/TestProblems/testSpaceShuttleV2.ipynb).
With `OptimalControl`, I don't have a valid results yet. I can't run it on the notebook.
The execution is done in a separate terminal with
```julia
using OptimalControl
using NLPModelsIpopt
include("./Problems/OptimalControl/space_Shuttle_OC_V2.jl")
SpaceSV2OC = space_Shuttle_OC_V2();
import HSL_jll
nh = 502
init = space_Shuttle_init(;nh=nh)
sol = OptimalControl.solve(SpaceSV2OC, grid_size=nh, init =init,
tol=1e-8, constr_viol_tol=1e-6, max_iter=1000,
linear_solver="ma57",hsllib=HSL_jll.libhsl_path, print_timing_statistics="yes")
```


Start with Problems/JuMP/space_Shuttle_JMP_V2.jl, Problems/OptimalControl/space_Shuttle_OC_V2.jl, and TestProblems/testSpaceShuttleV2.ipynb. Run the Julia OptimalControl command shown in the issue and compare it with the JuMP model. Done means the OptimalControl model produces valid results and the notebook runs successfully.

Written by the indexing model from the issue text.