MATLAB Code Implementation for STK Secondary Development

MATLAB's secondary development integration with STK (Systems Tool Kit) enables automated control for satellite simulation, mission analysis, and data visualization. STK provides powerful aerospace mission simulation capabilities, while MATLAB's flexibility and computational power enhance its functionalities.

Implementation Approach Connecting to STK: Utilize MATLAB's COM interface to call STK's automation interfaces (AgConnect or AgUiApplication), establishing communication between MATLAB and STK through object instantiation and method invocation. Creating Scenarios: Automatically generate objects like satellites and ground stations in STK using MATLAB scripts, configuring orbital parameters and sensor coverage properties programmatically via STK's object model. Data Interaction: Leverage MATLAB's computational capabilities to process STK output data (such as orbit prediction and visibility analysis), then feed processed results back to STK for visualization optimization using data exchange methods. Automated Simulation: Control STK's simulation workflow through MATLAB scripts, implementing time stepping, parameter adjustments, and multi-scenario comparative analysis using loop structures and conditional statements.

Application Extensions Implement optimization algorithms in MATLAB to adjust satellite orbital parameters, improving mission planning efficiency through numerical optimization techniques. Integrate machine learning models to predict satellite communication link availability, validating results in STK using regression analysis and classification algorithms.

This methodology applies to aerospace mission design, remote sensing satellite scheduling, and similar applications, significantly enhancing the automation level of simulation and analysis processes.