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The control system for the FFAG accelerator complex has actually been developed by non-specialists, and the developed control system was successfully used for commissioning the FFAG complex.
For the velocity subsystem, a neural network (NN) is employed to approximate the developed control law directly where a direct neural controller is designed.
The developed control scheme allows chaos suppression.
Checking the robustness of the developed control approach.
In the developed control scheme, there are three closed loops.
The developed control method is fast, simple, and flexible.
The developed control methodology is evaluated through numerical simulations.
Various simulation exercises have been considered to test the robustness of the developed control scheme.
The developed control algorithm was executed on a dSPACE1103 real-time platform.
This can be summarized as follows: Checking the robustness of the developed control approach.
The developed control algorithm is essentially more efficient than the step-by-step control procedures.
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