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Limited control algorithms for MEAC systems have been developed based on system simulation, and no experimental-based capacity controller developments and their controllability tests may be identified in open literature.
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These control strategies are implemented using the SIMULINK/dSPACE controller development environment.
The controller development is performed using the adaptive backstepping control approach combined with the high-gain observer design technique.
The controller development for sewer systems based on classical control concepts is usually complicated and inflexible.
The models also aid in controller development and turbine design.
Simulink and SimMechanics used for robotic dynamics, linear and non-linear (LQR and Sliding Mode) controller development, and path planning.
For the controller development we use PAROC framework and software platform.
The simulator can be used in system identification modelling and also in basic and advanced controller development.
As the first step of the controller development, a precise thermal hydraulic model for the steam generator is built.
The functioning test platform is being used in ongoing research into controller development, investigating classical and neural network approaches.
Rapid multiple input multiple out nonlinear controller development was achieved using SSA and the SMNE algorithm, demonstrating comparable time and cost to implementation in relation to the reduced model.
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