Jorge Trierweiler

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In an industrial gas-phase polyethylene reactor, the safe operating range of temperature is rather narrow. Even within this temperature range, temperature excursions must be avoided because they can result in low catalyst productivity and significant changes in product properties. In previous work, using a first-principles model, including the recycle(More)
In gas-phase reactors for ethylene polymerisation, tight temperature control is of utmost importance to ensure that the temperature in the reaction zone is kept above the dew point of reactants, yet below the melt point of the polymer. Another important point is that if the temperature was under open-loop conditions, these reactors are prone to instability(More)
This paper presents a Nonlinear Model Predictive Control approach for nonlinear state-space models obtained with the modelling and identification technique recently proposed in literature as Linearization on the Equilibrium Manifold (LEM). The predictive controller that will be applied to the LEM uses the Local Linearization on the Trajectory algorithm(More)
In this work we performed a comprehensive evaluation between MHE and Kalman filter-based estimators, where the estimators were applied to the classical four-cylindrical tanks model and two nonlinear reaction systems. From the results, the advantages and drawbacks of the moving horizon formulation are brought up to justify the high effort spent in the design(More)
A suitable design of state estimators requires a representative model for capturing the plant behavior and knowledge about the noise statistics, which are generally not known in practical applications. While the measurement noise covariance can be directly derived from the measurement device reproducibility, the choice of the process noise covariance is(More)
Steady-state detection has been an important tool in data processing, for nonlinear model identification, real time optimization, variability analysis, and so on. In this article, it is proposed a new methodology applied to multivariate systems for steady-state detection based on PCA and wavelets. The proposed approach is applied to an industrial(More)
This work introduces a novel methodology to quantify the profit gain due to reduction in the product variability. The base of the proposed approach is the variability matrix (VM), which relates how the loop variance of main loops is changed when the variance of the other loops are changed. Based on the potential reduction on the main loop variance, it is(More)
— Recent developments in remote sensing are offering a promising opportunity to rethink conventional control strategies of wind turbines. With technologies such as LIDAR, the information about the incoming wind field-the main disturbance to the system-can be made available ahead of time. Feedforward control can be easily combined with traditional collective(More)
The identification of closed loop systems has played an important role in the current context, since it reduces the operational costs of the identification process in the testing stage, reducing, for instance, off-spec production. However, in order to obtain the models, special care for treating the data is required. In this work, is presented a study on(More)