Embedded Model Predictive Control in ABB’s Distributed Control System: A qpOASES-Based Approach
In the field of automatic control, embedded Model Predictive Control (MPC) presents significant advantages, including efficiency, constraint incorporation, and non-causal setpoint handling. Despite its potential, the implementation of MPC in resource-constrained environments remains challenging due to its computational demands. This thesis explores the design and implementation of MPC within ABB’s