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This paper proposes a multiple predictive control strategy in order to control a combination of substrate concentrations inside of an anaerobic digestion process of microalgae. Based on the linear approximation of the original nonlinear model, an optimal control algorithm was developed and tested by simulation experiments. The obtained results validate the effectiveness and robustness of the proposed...
In the last years the European Space Agency (ESA) has developed several programs that support the creation of small satellites, called CubeSats, by different universities from within the member states. Because of their limited size, those satellites can pack, at most, very small attitude control devices which can generate only some limited torque. It is thus important for the designers to be able...
In this paper we present a C programming language implementation of a predictive control algorithm. The code was compiled and run under the same set of hypotheses using a standard open-source C compiler, and on three real time platforms, each with different technical specifications.
In this paper, the control problem of torsional vibrations occurring along a rotary drillstring system is approached. This task is performed using a predictive control strategy, based on a discrete-time model of the system, taking into account the constraint on control input. Also, the control scheme uses a compensation friction method in order to use a linear part of the initial model for control...
This paper presents the modeling, estimation and control of an induction motor. Starting with the linear approximation of the original nonlinear model of the motor, an on-line parameter estimation algorithm was developed. The algorithm deals with stator windings variations due to temperature oscillations. The resulted linear model was used, in order to control the rotor speed of the induction motor,...
The problem of modeling and control of an induction motor is approached by using linear approximation of the nonlinear model at certain equilibrium points and robust predictive control approaches. An advanced control technique for automatic control of the processes under operating constraints and uncertainties, robust model predictive control, was used in this paper. Finally, simulation results are...
In this paper the problem of predictive control for a laboratory plant model it is investigated. The model of the laboratory plant is a hybrid one, containing both continuous and discrete state/inputs. Model predictive control requires an optimization problem to be solved in order to compute the command that is applied to the plant, taking into account constraints on inputs and outputs. For the hybrid...
In this paper the problem of estimation and control of a bioprocess is approached. These tasks were performed using the interval observers and multiple model predictive control approaches. For estimation of nonlinear and uncertain biotechnological process a robust interval observer was used. The model predictive control, in particular nonlinear model predictive control, that is an advanced control...
In this paper the problem of modelling and control of a bioprocess is approached. Those tasks were performed using the multi-model and predictive control approaches. Modelling formalism like MLD (mixed logical dynamical systems) was used to describe the hybrid feature of multiple linear models. Model predictive control, which is a technique used for automatic control of the processes under operating...
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