Providing feedforward action and output constraints to the generalized split-range control

Split-range control strategies are widely used in Multiple-Input Single-Output (MISO) industrial processes, particularly when actuators differ in terms of operational costs or physical characteristics. However, the integration of advanced features such as feedforward compensation and output constraint handling within these frameworks remains limited, particularly due to sequential actuation. Conventional feedforward methods assume simultaneous control action from all inputs, which conflicts with the nature of split-range operation, where only one actuator is active at a time. Additionally, enforcing output constraints typically demands computationally expensive techniques such as Model Predictive Control (MPC). This paper proposes a novel approach for incorporating feedforward compensation and output constraint handling into the Generalized Split-Range Control (GSRC) framework that overcomes these limitations. The strategy extends a GPC-based PID controller capable of enforcing output constraints through a constraint-mapping law by integrating feedforward action. This controller is chosen as the primary controller for each channel of the GSRC. The method is validated through simulations on a Fresnel Solar Concentrator (FSC), using a dynamic model previously validated against experimental data. The proposed method achieves competitive energy and exergy generation while reducing temperature violations at a lower computational cost than the MPC used as a benchmark. The results suggest the practical applicability of the approach as a computationally efficient alternative to traditional MPC-based solutions for MISO processes.