PREDICTIVE CONTROL BY DISTRIBUTED PARAMETER SYSTEMS BLOCKSET FOR MATLAB & SIMULINK
Simulation of model predictive control of casting mold temperature field is presented. Temperature fields of the mould have been modeled and studied using a finite element method based software package, ProCAST, and numerical models in the form of lumped-input/distributed-output systems have been obtained. For model predictive control synthesis the Model Predictive Control Toolbox was used. Simulation have been realized using the Distributed Parameter Systems Blockset for MATLAB & Simulink, which is a third-party MathWorks product.
Robust control synthesis of benchmark casting process temperature fields
In the paper simulation of a robust control of temperature fields of the mould at casting process is presented. Temperature fields of the mould were modelled and studied using a finite element method based software package ProCAST and numerical models in the form of a lumped-input/distributed-output system were obtained. For the robust control synthesis with an internal model control structure, a model uncertainty of the controlled system was considered. Simulation was realized using the Distributed Parameter Systems Blockset for MATLAB & Simulink.
Control of Distributed Parameter Systems as Lumped Input and Distributed Output Systems
Abstract In this paper a new decomposition of distributed parameter systems to lumped and distributed parameter subsystems in a framework of a whole structure of lumped input and distributed output system is presented. This new structure offers large possibilities for distributed parameter systems control - practically equivalent to lumped parameter systems control possibilities.