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Performance of the controller is observed and verified for steady state and dynamic load conditions.
Performance of designed controller is observed by the simulation of haptic system using MATLAB Simulink®.
The disturbance rejection behaviour of the modified fuzzy controller is observed to be particularly good.
Moreover, the nearly-optimal controller has guaranteed input-output-stability for all delays, while in simulation the H2 optimal controller is observed to destabilize the closed-loop when adequately large delays are present.
The performance of the controller is observed by conducting a series of tests, and it can be concluded that the controller is efficient, reliable and insensitive towards the parameter variation in the system and motor robustness to load and noise disturbances.
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The MPC controller was observed to outperform the decentralized control system due to its multivariable constraint control capability.
The performance of the adaptive controller is compared with a conventional PID controller and it is observed that the adaptive controller has superior performance.
However, it is observed that FBL controller fails in bifurcation control when the disturbance frequency increases.
Robustness of the closed loop is observed during the controller design.
Through the dynamic simulations it is observed that the controller is able to suppress xenon induced spatial oscillations developed in AHWR and the overall performance is found to be satisfactory.
It is observed that the controller can search and fully stabilize the mode even though the poloidal launch angle is misaligned with the island initially.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com