docs: fix namespacing in DC motor tutorial

Author: SebastianM-C

docs/src/tutorials/dc_motor_pi.md

@@ -92,8 +92,8 @@ plot(p1, p2, layout = (2, 1))
 When implementing and tuning a control system in simulation, it is a good practice to analyze the closed-loop properties and verify robustness of the closed-loop with respect to, e.g., modeling errors. To facilitate this, we added two analysis points to the set of connections above, more specifically, we added the analysis points named `:y` and `:u` to the connections (for more details on analysis points, see [Linear Analysis](@ref))
 
 ```julia
-connect(sys.speed_sensor.w, :y, feedback.input2)
-connect(sys.pi_controller.ctr_output, :u, source.V)
+connect(sys.speed_sensor.w, :y, sys.feedback.input2)
+connect(sys.pi_controller.ctr_output, :u, sys.source.V)
 ```
 
 one at the plant output (`:y`) and one at the plant input (`:u`). We may use these analysis points to calculate, e.g., sensitivity functions, illustrated below. Here, we calculate the sensitivity function $S(s)$ and the complimentary sensitivity function $T(s) = I - S(s)$, defined as
@@ -111,7 +111,7 @@ matrices_S, simplified_sys = Blocks.get_sensitivity(
     model, :y, op = Dict(unknowns(sys) .=> 0.0))
 So = ss(matrices_S...) |> minreal # The output-sensitivity function as a StateSpace system
 matrices_T, simplified_sys = Blocks.get_comp_sensitivity(
-    model, :y, op = Dict(model.inertia.phi => 0.0, model.inertia.w => 0.0))
+    model, :y, op = Dict(sys.inertia.phi => 0.0, sys.inertia.w => 0.0))
 To = ss(matrices_T...)# The output complementary sensitivity function as a StateSpace system
 bodeplot([So, To], label = ["S" "T"], plot_title = "Sensitivity functions",
     plotphase = false)