The primary objective of this project is to develop a model predictive controller (MPC) for a boiler system employed in a thermal power plant. Due to the inherent complexities associated with modeling boiler systems, deriving the system model from an input-output dataset is a recommended approach. The project encompasses the following tasks:
-System Model Identification: Utilize an input-output dataset to identify the model of the boiler system.
-Model Validation: Evaluate the validity of the identified model by assessing its accuracy in predicting the system's behavior.
-MPC Design: Design an MPC controller for the identified boiler system model.
-Overall System Performance Evaluation: Assess the performance of the overall system, including the boiler system and the MPC controller, under various operating conditions.
-System Simulation and Analysis: Employ MATLAB to simulate the boiler system and analyze its behavior under the control of the MPC controller.
danizvoyager
commented
7 months ago
The primary objective of this project is to develop a model predictive controller (MPC) for a boiler system employed in a thermal power plant. Due to the inherent complexities associated with modeling boiler systems, deriving the system model from an input-output dataset is a recommended approach. The project encompasses the following tasks: -System Model Identification: Utilize an input-output dataset to identify the model of the boiler system. -Model Validation: Evaluate the validity of the identified model by assessing its accuracy in predicting the system's behavior. -MPC Design: Design an MPC controller for the identified boiler system model. -Overall System Performance Evaluation: Assess the performance of the overall system, including the boiler system and the MPC controller, under various operating conditions. -System Simulation and Analysis: Employ MATLAB to simulate the boiler system and analyze its behavior under the control of the MPC controller.