By introducing the existing lack of industrial temperature control algorithm is applied, leads to the advantage of dmc algorithm industrial furnace temperature control, the next from the prediction model, rolling opti...
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ISBN:
(纸本)9783038351153
By introducing the existing lack of industrial temperature control algorithm is applied, leads to the advantage of dmc algorithm industrial furnace temperature control, the next from the prediction model, rolling optimization, feedback correction of the three aspects of the principle of dmc algorithm is fully explained, on this basis, the preparation of Matlab procedures, simulation of the dmc algorithm in industrial furnace temperature control, thus indicating dmc algorithm in the field of industrial temperature measurement is a method should be promoted.
The application of dynamic matrix control (dmc) on the speed tracking of freight trains is investigated in this *** smooth changing of locomotive's notches is important for the safety operation of freight trains. ...
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ISBN:
(数字)9789881563903
ISBN:
(纸本)9789881563903
The application of dynamic matrix control (dmc) on the speed tracking of freight trains is investigated in this *** smooth changing of locomotive's notches is important for the safety operation of freight trains. The operation objective is to minimize the velocity tracking errors and increment of acceleration. The practical operational constraints are taken into consideration in the controller design, including speed limitations, variable gradients and predefined trip time. The dmc approach guarantees locomotive notch smoothing while maintaining speed tracking. And smooth notches are more convenient to driver operation. Simulation results verify that the dmc approach is effective in improving the train's performance.
The application of dynamic matrix control(dmc) on the speed tracking of freight trains is investigated in this *** smooth changing of locomotive's notches is important for the safety operation of freight trains. T...
详细信息
The application of dynamic matrix control(dmc) on the speed tracking of freight trains is investigated in this *** smooth changing of locomotive's notches is important for the safety operation of freight trains. The operation objective is to minimize the velocity tracking errors and increment of acceleration. The practical operational constraints are taken into consideration in the controller design, including speed limitations, variable gradients and predefined trip t ime. The dmc approach guarantees locomotive notch smoothing while maintaining speed tracking. And smooth notches are more convenient to driver operation. Simulation results verify that the dmc approach is effective in improving the train's performance.
Batch reactor temperature control is quite complicated because of production requirements and the complex internal mechanism with time-varying parameters and large time delay. A dmc (Dynamic Matrix Control) strategy i...
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ISBN:
(纸本)9781479987306
Batch reactor temperature control is quite complicated because of production requirements and the complex internal mechanism with time-varying parameters and large time delay. A dmc (Dynamic Matrix Control) strategy is employed to optimize and adjust PID controller parameters adaptively according to the working condition, so that the batch reactor temperature can be controlled stably and robustly. The comparison with PFC (Predictive Functional Control)-PID and conventional PID is made by simulation. It is observed that the proposed method for batch reactor temperature control has better dynamic and static characteristics in the presence of external disturbance, time delay and model parameters mismatch.
Main steam temperature system has the characteristics of nonlinear,large inertia and time ***,traditional PID cascade control usually could not provide satisfied *** a most widely used model predictive control(MPC) al...
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ISBN:
(纸本)9781509046584
Main steam temperature system has the characteristics of nonlinear,large inertia and time ***,traditional PID cascade control usually could not provide satisfied *** a most widely used model predictive control(MPC) algorithm,dynamic matrix control(dmc) is especially suitable for large inertia controlled ***,dmc is vulnerable to be influenced by uncontrollable *** this paper,a new dmc control strategy based on the combination of cascade structure and feedforward compensation is proposed in main steam temperature control *** disturbances of the load and the spray attemperator inlet temperature can be compensated by feedforward *** the cascade structure can suppress the disturbances of spray attemperator *** results show that the novel feedforward dmc-PID cascade control strategy has remarkable dynamic performance and strong disturbance rejection ability.
This paper concerns the development of a multivariable controller for the FCC Kellog Orthoflow F reactor/regenerator unit. A nonlinear dynamic model, based on the model of Kurihara, is used as a reference for the desi...
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This paper concerns the development of a multivariable controller for the FCC Kellog Orthoflow F reactor/regenerator unit. A nonlinear dynamic model, based on the model of Kurihara, is used as a reference for the design of the control algorithm. This model is compared with the plant data, for open loop changes on the air flow and the regenerated catalyst valve opening. The adopted control algorithm incorporates both the regulatory and optimization functions. The regulatory layer is based on the usual dmc algorithm, while the optimization layer solves a linear programming problem, based on the dmc formulation, to perform steady-state economic optimizations. The calculated variables of the LP are the setpoints to the regulatory layer. The proposed control structure is simulated for a particular set of manipulated and controlled variables of the Kellog FCC converter and the results indicate good potential for the application to the real system.
The paper is concerned with the presentation and analysis of the Dynamic Matrix Control (dmc) model predictive control algorithm with the representation of the process input trajectories by parametrised sums of Laguer...
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The paper is concerned with the presentation and analysis of the Dynamic Matrix Control (dmc) model predictive control algorithm with the representation of the process input trajectories by parametrised sums of Laguerre functions. First the formulation of the dmcL (dmc with Laguerre functions) algorithm is presented. The algorithm differs from the standard dmc one in the formulation of the decision variables of the optimization problem - coefficients of approximations by the Laguerre functions instead of control input values are these variables. Then the dmcL algorithm is applied to two multivariable benchmark problems to investigate properties of the algorithm and to provide a concise comparison with the standard dmc one. The problems with difficult dynamics are selected, which usually leads to longer prediction and control horizons. Benefits from using Laguerre functions were shown, especially evident for smaller sampling intervals.
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