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AI at work: Southern Nuclear’s adoption of Copilot agents drives fleet forward
Southern Nuclear is leading the charge in artificial intelligence integration, with employee-developed applications driving efficiencies in maintenance, operations, safety, and performance.
The tools span all roles within the company, with thousands of documented uses throughout the fleet, including improved maintenance efficiency, risk awareness in maintenance activities, and better-informed decision-making. The data-intensive process of preparing for and executing maintenance operations is streamlined by leveraging AI to put the right information at the fingertips for maintenance leaders, planners, schedulers, engineers, and technicians.
Marco Ariola, Alfredo Pironti, Alfredo Portone
Fusion Science and Technology | Volume 36 | Number 3 | November 1999 | Pages 263-277
Technical Paper | doi.org/10.13182/FST99-A107
Articles are hosted by Taylor and Francis Online.
The problem of designing a plasma current and shape control system for a tokamak is dealt with, and a complete framework based on a validated linearized plasma model is developed. Starting from the equilibrium configurations to control and given the required performance, a procedure for choosing the parameters to control is outlined. Then, a method is proposed to evaluate the best performance one could ever expect from a control system, given the actual limitations due to the power supply. A procedure for designing a linear controller is described. The use of a modern multivariable technique, such as the H theory, allows one to take into account the many existing constraints and to find a trade-off among performance, robustness, and control effort. The methodology proposed is general and can be applied in principle to any tokamak plant. The simulation results refer to the International Thermonuclear Experimental Reactor (ITER) tokamak. A controller designed following almost the same steps has been successfully tested on an existing tokamak.