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
12 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.