Development of High-Performance Simulation Core Components for the Plasma Control Simulation Verification Platform

Abstract

Accurate predictions of plasma behavior and reliable, precise plasma control can significantly reduce the operating costs and risks of the device. The plasma control simulation verification platform (PCSVP), developed using the Python open-source environment, has been preliminarily applied to the control simulation of the experimental advanced superconducting tokamak (EAST) device, assisting in the development and testing of the plasma control system (PCS). Although PCSVP achieves the functionality of visual modeling and simulation calculations comparable to commercial software such as Simulink, its simulation speed remains a limitation. By adhering to object-oriented design principles in C++, the redesign and refactoring of the simulation engine and system libraries are achieved, along with optimizations to the algorithms and data structures of the simulation system. These improvements reduce computational complexity and improve the simulation speed of PCSVP. Experimental results show that the C++-based PCSVP improved the simulation speed by 17 times in the poloidal field (PF) control based on vacuum model and by six times in the RZIp closed-loop control simulation model, significantly reducing computation time and making the development and testing of PCSs more efficient.