MODELING, MONITORING, AND CONTROL OF PH-SHIFT REACTIVE CRYSTALLIZATION

Ph.DDOCTOR OF PHILOSOPH

Impact of disturbance filter in nonlinear EPSAC predictive control of blood glucose level in type I diabetic patients

The nonlinear EPSAC (NEPSAC) predictive control algorithm has been implemented to regulate blood glucose level in type I diabetic patients, by controlling the insulin infusion rate with a micropump. The advantage of the NEPSAC strategy is that the nonlinear process is never linearized, thus it uses directly the nonlinear patient model. The role of the disturbance filter in model-based predictive control is underlined and its possibility to improve control performance is exploited. A default disturbance filter, consisting of an integrator to ensure zero steady-state error, is compared to an intelligent filter design with and without output constraints. Controller performance was assessed in terms of its ability to reject a meal disturbance of 30g glucose

Anwendung von Prädiktivreglern in Verbrennungsmotorsteuerungen

Das Ziel dieser Arbeit ist die Anwendbarkeit des numerisch anspruchsvollen modellprädiktiven Regelungskonzeptes innerhalb moderner Verbrennungsmotorsteuerungen zu erreichen. Durch simulative Untersuchungen wird die Eignung der modellprädiktiven Regelung zur Führungs- und Störungsregelung des Motordrehmoments und der Motordrehzahl belegt. Die praktische Anwendbarkeit wird anhand einer Implementierung in einem serienmäßigen Motorsteuergerät und einer anschließenden Fahrt im Fahrzeug auf einer Teststrecke gezeigt und diskutiert.This thesis focusses on usability of the numerically sophisticated model predictive control concept within modern engine control. The effectiveness of model predictive control for tracking and disturbance rejection regarding engine torque and engine speed is proved by simulation. The field of application is evaluated, proven and reflected on the basis of an implementation in an standard electronic control unit and a subsequent drive on a test track