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.
PID Control of Distributed Parameter Systems
Abstract In the paper first some new results of distributed parameter systems theory will be indicated. Concept of lumped-input/distributed-output systems will be introduced and distributed parameters feedback control loops will be designed. Further possibilities for PID control of distributed parameter systems, which are considered as lumped- input/distributed-output systems will be demonstrated.
An Optimization Approach to Occupant Safety and Fuel Economy in Vehicle Design
1. Abstract A major challenge in automotive design is the creation of safe vehicles with minimal environmental impact. This study presents a modeling framework for evaluating and optimizing body designs for improved occupant safety and fuel efficiency. Vehicle body mass is considered as the main link between safety and sustainability. The modeling framework includes frontal crash energy absorption, restraint system design and fuel economy. Preliminary results indicate a Pareto-optimal curve between safety and sustainability may exist when other factors are not taken into account. A more complete modeling framework that includes more sophisticated sustainability and safety metrics, cost and other market considerations, is suggested in order to support better design and regulatory decisions. 2. Keywords: Automotive body structures, fuel economy, occupant safety, optimal vehicle design, restraint systems