The paper proposes a new, discrete time LQ optimal controller synthesis for output tracking over an infinite horizon. The resulted controller consists of a state feedback and a feedforward term. The solution requires ...
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The paper proposes a new, discrete time LQ optimal controller synthesis for output tracking over an infinite horizon. The resulted controller consists of a state feedback and a feedforward term. The solution requires a one step ahead prediction of the reference signal. For a smooth enough reference signal this can be replaced with extrapolation. Here, the properties for constant reference signals are examined, time varying references will be covered with another article. The method guarantees asymptotical stability and zero steady state tracking error. The elaborated techniques satisfy the separation principle for an arbitrary deterministic or stochastic state estimator. The reference tracking problem for a quadrotor helicopter is solved by the method. The trajectory tracking control is successfully applied both with reference signal preview and extrapolation (considering time varying references also).
Material or fluid transportation is a commonly encountered phenomenon in industrial applications, generating variable time delay that makes the design of feedback control loops more difficult. This paper investigates ...
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Material or fluid transportation is a commonly encountered phenomenon in industrial applications, generating variable time delay that makes the design of feedback control loops more difficult. This paper investigates the applicability of MPC (Model Predictive control) strategies to this type of processes. The experimental setup consists of a heated tank, of which the outlet temperature (measured at a certain distance from the tank) is controlled by manipulating the outlet flow. The nonlinear EPSAC (Extended Prediction Self-Adaptive control) approach is used, which reduces the complexity of nonlinear optimization to iterative quadratic programming. It is shown that developing a process model in which dynamics are decoupled from the variable time delay leads to a Smith predictor-like control structure, that allows the proper operation of the control loop with fixed control parameters. The performance of the predictive controller is compared on the pilot plant to the performance of classic control approaches for systems with time delay.
The paper suggests to apply a proper output weight to achieve guaranteed discrete algebraic Riccati equation (DARE) solvability of the LQ optimal control problem with output tracking. Usually a positive semi definite ...
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The paper suggests to apply a proper output weight to achieve guaranteed discrete algebraic Riccati equation (DARE) solvability of the LQ optimal control problem with output tracking. Usually a positive semi definite state weighting matrix (Q) is mentioned to be sufficient for solvable DARE. However, the literature also proposes more general rank conditions. The paper shows a sufficient condition to guarantee DARE solvability under output tracking problems, by the appropriate selection of a Q > 0 matrix. At output tracking quadratic problems Q results as a sparse matrix. Therefore, a special attention has to be carried on the output weighting strategy guaranteing DARE solvability for a class of linear and mostly integrating systems. Injecting additional weights, the closed system performance can be increased. The importance of the proper weighting strategy is illustrated with a numerical example where it has been pointed out that inappropriate weights leads to infeasible DARE.
Considering the need of an advanced process control in cement industry, this paper presents an adaptive model predictive algorithm to control a white cement rotary kiln. As any other burning process, the control scena...
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Considering the need of an advanced process control in cement industry, this paper presents an adaptive model predictive algorithm to control a white cement rotary kiln. As any other burning process, the control scenario is to expect the controller to regulate the temperature and the period of baking a fixed quantity of raw material as desired, as well as to have the concentration of the combustion gases under control. To achieve these goals, this work presents a strategy which includes multivariable online identification of the kiln process and a constrained generalized predictive controller. An MLP neural network model derived from real plant data of Saveh cement factory in Iran is used as the kiln process simulator. The control efforts are made taken into account the operating constraints. At last the proposed control strategy is modified so as to gain good disturbance rejection ability.
Using scanning tunneling microscopy, low-energy electron-diffraction observations, and density-functional calculations, the effect of adding Ge to Si(111) substrate on the reconstructions induced by Al adsorption has ...
Using scanning tunneling microscopy, low-energy electron-diffraction observations, and density-functional calculations, the effect of adding Ge to Si(111) substrate on the reconstructions induced by Al adsorption has been studied. It has been found that Ge incorporation alters the relative stability of the reconstructions. In particular, while in the “pure” Al/Si(111) system the magic cluster array (α−7×7 phase) is less stable than the 3×3 reconstruction (to which it irreversibly converts upon heating above 600 °C), in the Al/SixGe1−x(111) system magic clusters possess an enhanced thermal stability and persist almost up to the Al desorption temperature of ∼800°. The results of calculations allow us to track the sequential stages of the substitution of Si atoms by Ge in the α−7×7 phase. The general trend found is that adding Ge to Si(111) makes the Al substitutional configuration more preferable than the Al adatom configuration, which is opposite to the relative stabilities of the configurations in the pure Al/Si(111) system.
作者:
Martin ZalesakPetr PolachTomas Bata University in Zlín
Faculty of Applied InformaticsDepartment of Automation and Control EngineeringNad Stráněmi 4511 760 05 ZlínCzech Republic Brno University of Technology
Faculty of Electrical Engineering and CommunicationDepartment of Control and InstrumentationKolejní 4612 00 BrnoCzech Republic
A new multipurpose laboratory of building technology has been built in Tomas Bata University, faculty of Applied Informatics and set into test operation. The laboratory supports several subjects like modern HVAC syste...
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A new multipurpose laboratory of building technology has been built in Tomas Bata University, faculty of Applied Informatics and set into test operation. The laboratory supports several subjects like modern HVAC system applications, with renewable sources of energy implemented (solar collectors and reversible heat pump application), and a comprehensive system of control, based on the open bus communication system KNX , communication gate based on the TCP/IP protocol. The laboratory is as well equipped as a training tool for control systems based on bus communication particularly KNX (finished) and LONWORKS and BACNET (under construction). The paper describes the first results achieved by the laboratory.
In this paper, we design a neurofuzzy controller to control several variables of a rotary cement kilns. The variables are back-end temperature, pre-heater temperature, oxygen content and CO2 gas content of the kiln. T...
In this paper, we design a neurofuzzy controller to control several variables of a rotary cement kilns. The variables are back-end temperature, pre-heater temperature, oxygen content and CO2 gas content of the kiln. The fuzzy control system, as an advanced control option for the kilns, is intended to minimize the operator interaction in the control process. The proposed fuzzy controller uses a neural network to optimize TSK-type fuzzy controller. Since there is no generally applicable analytical model for cement kilns, we use the real data derived from Saveh cement factory for the plant identification. A model, which is very similar to the real plant, is identified then; and the identified model is used for control design and simulations. Extensive simulation studies justify the effectiveness and applicability of the proposed control scheme in intelligent control of cement plant.
Using induced L 2 -norm minimization, a robust controller was developed for insulin delivery in Type I diabetic patients. The high-complexity nonlinear diabetic patient Sorensen-model [1] was considered. LPV (Linear P...
Using induced L 2 -norm minimization, a robust controller was developed for insulin delivery in Type I diabetic patients. The high-complexity nonlinear diabetic patient Sorensen-model [1] was considered. LPV (Linear Parameter Varying) methodology was used to develop open loop model and robust controller. Considering the normoglycemic set point (81.1 mg/dL), a polytopic set was created over the physiologic boundaries of the glucose-insulin interaction of the Sorensen-model. In this way, LPV model formalism was defined. The robust control was developed considering input and output multiplicative uncertainties with other weighting functions.
Pairing is the first step of decentralized controller design procedure in multi-input multi-output (MIMO) processes. In spite of considerable efforts dedicated to this problem, most of the known pairing techniques are...
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Pairing is the first step of decentralized controller design procedure in multi-input multi-output (MIMO) processes. In spite of considerable efforts dedicated to this problem, most of the known pairing techniques are offline algorithms and fail to decide when dealing with high dimensional and/or time varying processes and adaptive control applications. In this article, normalized effective relative gain array (NERGA) is introduced as an effective automatic pairing method and is employed in a new adaptive decentralized PID control strategy.
The paper deals with influence of a single scalar positive tuning parameter on performance properties of the closed control loop which contains algebraically designed PI controller while the response quality is evalua...
The paper deals with influence of a single scalar positive tuning parameter on performance properties of the closed control loop which contains algebraically designed PI controller while the response quality is evaluated by the size of first under- or overshoots. The controller coefficients are calculated from general solutions of diophantine equations in the ring of proper and Hurwitz stable rational functions. Subsequently, these controllers can be tuned by the only parameter. The contribution brings simple tuning rules and, moreover, it presents their possible practical application during control of real laboratory model assumed as system with parametric uncertainty.
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