Researchers from Princeton University and the Princeton Plasma Physics Laboratory have reported a significant breakthrough in overcoming the instabilities that have hindered the progress of nuclear fusion towards commercial viability. They have developed an AI controller that can forecast potential plasma tearing up to 300 milliseconds in advance, preventing disruptions and increasing the confidence that fusion reactors can operate without issues.
The researchers explained that the key challenge in achieving stable and continuous fusion reactions is the problem of plasma tearing, where the magnetic field that confines the plasma breaks down, leading to disruptions that can halt the reaction. To address this challenge, the team developed an AI-based control system that can predict these plasma tearing events and take corrective actions to prevent them.
Predictive Capabilities of the AI Controller
The AI controller they developed is capable of forecasting potential plasma tearing up to 300 milliseconds in advance, which is a significant improvement over previous methods that could only predict disruptions a few tens of milliseconds in advance. This extended prediction window allows the system to take the necessary actions to stabilize the plasma and maintain the fusion reaction.
Increased Confidence in Fusion Reactor Operations
The researchers believe that this breakthrough in plasma tearing prediction and mitigation will increase the confidence in the ability of fusion reactors to operate without major disruptions, a critical step towards the commercial viability of nuclear fusion as a reliable and sustainable energy source.