Scenario trajectory optimization and control on STEP - ScienceDirect

• The RAPTOR code demonstrates scenario development on STEP. • Improves actuator trajectory search methods previously used in JINTRAC. • Improved convergence by using our iterative optimisation method. The RAPTOR code demonstrates scenario development on STEP. Improves actuator trajectory search methods previously used in JINTRAC. Improved convergence by using our iterative optimisation method. In this paper we present optimized actuator trajectories, evolving in time and space, of non-inductive ramp-up scenarios for the Spherical Tokamak for Energy Production (STEP). These trajectories are computed by solving a non-linear, multi-objective, constrained, finite-time optimal control problem. A method unique to STEP ramp-up studies that provides an alternative to existing trajectory search strategies which rely on manually adjusting trajectories to reach a desired state. To navigate a non-linear parameter space which is densely populated with local minima, we demonstrate an iterative

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• Clementine Yang