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In this paper a microcontroller based digital control of an industrial application is presented. The positioning control of a ventilator piston in an artificial respiration device will be described. This new device will replace the old ventilator system which uses an analogous controller by a more modern one controlled by a microcontroller. In addition to hardware savings it is possible to get more...
The paper discusses the problem of maximizing the torque of permanent magnet synchronous motors in the presence of voltage and current constraints. Formulas are given that are suitable to operation with voltage and current source inverters and to real-time computation. Generally, the available torque is limited by current constraints at low speeds and by voltage constraints at high speeds, but there...
The transient component caused by the Capacitive Voltage Transformer (CVT) in HV and EHV electrical power systems, prolongs the tripping time of the protection relaying systems. The classical filtering doesn't lead to satisfactory results. In order to improve the performances of the protection relaying systems, it turns out that the modified inversion technique applied in signal filtering lead to...
Different system identification techniques for using experimental data to characterize the waveform and internal impedance of a voltage source are examined. In the automotive industry, an Interference Signal Generator (ISG) is used to synthesize Electro Static Discharge (ESD) spike pulses according to SAE specifications (SAE Test Pulses 1,2,3a & 3b) [1]. The project1 involves high speed measurement...
In 1994, H. Hjalmarsson, S. Gunnarsson and M. Gevers developed an optimal iterative controller tuning method (IFT) whose major innovation was the absence of any explicit modeling stage. Data collected during a sequence of closed loop experiments drive the parameters updates in order to iteratively minimize a control performance criterion. The idea of improving the performance of a given controller...
This paper deals with the comparison of laboratory experimental results obtained in our team. The topics of our research concern the monitoring of alcoholic fermentation processes. We have compared the behaviour of different linear and nonlinear adaptive control approaches. The described algorithms ensure a prespecified quality of output tracking and disturbances rejection.
In this paper, the results of [7] are extended to the positioning of a high speed rotating shaft controlled via a magnetic suspension system, made up with four magnetic bearings. We recall the flatness based hierarchical control design of [6, 7] which allows us to distribute the roles of the electromagnets according to the current almost complementarity condition. Experimental results on a pilot vacuum...
The second fermentation is one of the most important steps in Champagne production. For this purpose, yeasts are grown on a wine based medium to adapt their metabolism to ethanol. A recurrent neural network combined with a stoichiometric reaction scheme were identified as a state model of yeast growth fermentation process. This model was used to perform an open-loop or a closed-loop control of the...
A simple adaptive high-gain regulator is designed for a nonlinear multivariable Biogas Tower Reactor. The controller achieves tracking of the constant reference signals within a prespecified λ-neighbourhood within a prespecified time T. The adaptation strategy is very robust and tolerates large disturbances. The results have been tested on an industrial pilot reactor of almost full scale plant.
This paper focuses on modeling of an industrial cement grinding circuit using physical arguments and experimental data. The resulting "gray-box" model, which consists in a mixed set of algebraic and partial differential equations, can be used to gain some insight into the process dynamics and design control loops to achieve product specifications. Several multivariable control schemes using...
Synthesis of friction compensation using standard PID and advanced state controllers is discussed in this paper. Conventional digital controller technology leads to medium performance of PID control for very small displacements. By state feedback linearization, excellent performances for any reference are achieved with economically reasonable sensors and processors.
A vibration control system based on an air spring and a proportional electro-pneumatic control transducer was developed at this Institute. The system is driven by compressed air and uses a combination of feed-forward and feed-back control algorithms. A dummy system was successfully tested on a laboratory vibration simulator for use as the suspension system of driver's seat for vehicles with unsprung...
This paper presents the results when applying a Linguistic Equation Controller to maintain the temperature in a parabolic trough solar collector field which supply energy to a Multi-Effect Desalination Plant. The performance of the control scheme and the problems encountered are dealt with and illustrated by plant results. The plant is described, the control problem is presented, the Linguistic Equation...
A simple refiner control strategy aimed at minimizing variations in freeness of a Ultra High Yield Sulphite (UHYS) pulp has been implemented in a newsprint mill. The feeder screw speed is being manipulated to compensate for variations in the bulk density of the chip feed and to maintain a constant motor load at the primary refiners. This ensures a more constant mass flow rate through the primary refiners...
In this paper the modeling, monitoring and control of cyclically operated biological wastewater treatment plants is considered. The modeling of the system is performed using state space and parameter sensitivity analysis. The model parameters are identified, both on lab-scale and full-scale experiments. The basic problem of limited hardware measurements is challenged by developing an intelligent measurement...
The Activated Sludge Model No. 1 developed by the International Association on Water Quality is well accepted for dynamic simulation of removal of carbonaceous and nitrous compounds from wastewater in activated sludge plants. In several important applications of the model, it is essential to obtain meaningful parameters to describe full scale plant behaviour accurately, which is referred to as model...
In this paper, the design of a position tracking control scheme for an industrial robot manipulator is considered. The design is based on the normalized left coprirne factors robust stabilization approach. By coupling this H∞ synthesis technique to a sequential quadratic programming optimization procedure, a systematic design method for the optimization of the controller's performance is developed...
The external carbon dosage control for predenitrification processes is studied. The proposed strategy is to control the nitrate concentration in the anoxic zone at a low set-point. A model-based analysis of the denitrification process reveals that the optimal set-point for the nitrate concentration in the anoxic zone is about 1 mg.l−1. Three control laws are designed to control the anoxic zone nitrate...
The surface treatments concerns many parts of machines particularly exposed to corrosion, friction or high level of pressure. Different techniques are available to carry out a superficial heat treatment (carburizing, nitriding, carbo-nitriding, induction hardening, …). Then, to control the heat treatment quality one uses to measure the hardness profile by using the micro Vickers indentation technique...
This paper addresses the development and implementation of Multivariate Statistical Process Control to a high speed film production facility. The plant data logging facilities provide a wealth of process data relating to each of the key process units. The data is highly correlated and difficult to monitor using traditional univariate statistical process control methods. Multivariate Statistical Process...
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