Application Study on Distributed Predictive Control of Beer Fermentation Temperature

2014 ◽  
Vol 513-517 ◽  
pp. 4525-4528
Author(s):  
Shang Ji Liang ◽  
Wang Chan Chan
Keyword(s):  
Time Delay ◽  
Predictive Control ◽  
Temperature Control ◽  
Control Algorithm ◽  
Large Time ◽  
Control Model ◽  
Distributed Parameter ◽  
Application Study ◽  
Beer Fermentation ◽  
Fermentation Temperature

As the temperature process of beer fermentation has a large time delay, strong coupling and distributed parameter, the process requirements are difficult to satisfy for conventional control. The beer fermentation temperature control model was developed and the Smith compensation and distributed predictive control algorithm were proposed. The simulation shows that the algorithm can satisfy the technological requirements very well.

Application of improved dynamic matrix control algorithm to fermentation temperature control

2010 ◽  
Vol 30 (10) ◽  
pp. 2850-2852 ◽  
Author(s):  
Qiao CHEN ◽  
Song ZHENG ◽  
Ming GE ◽  
An-ke XUE
Keyword(s):  
Temperature Control ◽  
Control Algorithm ◽  
Dynamic Matrix Control ◽  
Dynamic Matrix ◽  
Fermentation Temperature ◽  
Matrix Control

Optimally designed Lyapunov–Krasovskii terminal costs for robust stable–feasible model predictive control of uncertain time-delay nonlinear dynamical systems

2020 ◽  
pp. 095965182095219
Author(s):  
S Yaqubi ◽  
MR Homaeinezhad
Keyword(s):  
Time Delay ◽  
Dynamical Systems ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Robust Stability ◽  
Control Algorithm ◽  
Nonlinear Dynamical Systems ◽  
Prediction Horizon ◽  
Delay Effects ◽  
Uncertain Time

This article details a new Model Predictive Control algorithm ensuring robust stability and control feasibility for uncertain nonlinear multi-input multi-output dynamical systems considering uncertain time-delay effects. The proposed control algorithm is based on construction of a Lyapunov–Krasovskii functional as terminal cost. Incorporation of this terminal cost into the Model Predictive Control optimization problem and calculation of the associated admissible set result in robust feasibility and robust stability of closed-loop system in presence of uncertain time-delay effects and bounded disturbance signals. The Lyapunov–Krasovskii functional term is constructed with respect to predicted sliding functions over the prediction horizon and considers the effects of dynamical variations over the prediction horizon in generation of control inputs. As dynamical variations are investigated in a sample-to-sample basis, feasible sliding regions are updated at each sample as well. Finally, based on expression of sliding functions as a combination of dynamical variations and input-based terms, required control inputs are calculated in the admissible bound by the optimization algorithm. Construction of control scheme on this basis permits straightforward calculation of robust stability and feasibility conditions for a general class of uncertain nonlinear system in finite prediction horizon whereas in the previous works, often-restrictive conditions were considered for the investigated dynamical systems. Numerical illustrations indicate precision and efficiency of control algorithm and improved stability and convergence rate for multivariable nonlinear dynamical systems considering uncertain time-delay effects. Finally, hardware-in-the-loop implementation indicates applicability of the proposed scheme in real-time control applications particularly in case appropriate compromises between optimality and calculation speed are considered.

Predictive Control of a Laboratory Time Delay Process Experiment

2013 ◽  
Vol 11 (1) ◽  
pp. 29-36
Author(s):  
S. Enev
Keyword(s):  
Time Delay ◽  
Predictive Control ◽  
Control Algorithm ◽  
Optimization Problem ◽  
Problem Formulation ◽  
Practical Implementation ◽  
Control Law ◽  
Design And Implementation ◽  
Optimization Problem Formulation ◽  
Laboratory Time

Abstract The paper presents the design and implementation of a Model Predictive Control (MPC) scheme of a laboratory heatexchange process with a significant time delay in the input-output path. The optimization problem formulation is given and an MPC control algorithm is designed, achieving integral properties. Details, related to the practical implementation of the control law are discussed and the first experimental results are presented.

Application of Fuzzy Control Simulation Human Intelligence Controller in Ferment Process of Supplying Suger

2014 ◽  
Vol 668-669 ◽  
pp. 441-444
Author(s):  
Lei Wang ◽  
Qian Feng
Keyword(s):  
Time Delay ◽  
Fuzzy Control ◽  
Intelligent Control ◽  
Control Algorithm ◽  
Large Time ◽  
Human Intelligence ◽  
Time Varying ◽  
Effective Algorithm ◽  
Simulation Research ◽  
Strong Disturbance

In accordance with the features of non-linear, large time-delay and time varying for ferment process, an algorithm combining Fuzzy Control and Human-simulation Intelligent control is presented: Fuzzy control and human-simulating control algorithm is used to control the ferment process of supplying suger. The simulation research shows the algorithm is a very effective algorithm with very good anti-delay and anti-disturbance, especially suitable for the objects with large time-delay and strong disturbance.

Smith predictor based fractional-order integral controller for robust temperature control in a steel slab reheating furnace

2019 ◽  
Vol 41 (16) ◽  
pp. 4521-4534 ◽  
Author(s):  
Vicente Feliu-Batlle ◽  
Raul Rivas-Perez
Keyword(s):  
Time Delay ◽  
Fractional Order ◽  
Temperature Control ◽  
Pid Controller ◽  
Large Time ◽  
Smith Predictor ◽  
Reheating Furnace ◽  
Steel Slab ◽  
Integral Controller ◽  
Fractional Order Integral

In this paper, a new strategy for robust control of temperature in a steel slab reheating furnace with large time delay uncertainty based on fractional-order controllers combined with a Smith predictor is proposed. A time delay model of the preheating zone of this process is used, obtained from an identification procedure applied in a real industrial furnace. It is shown that this process experiences very large time delay changes. A fractional-order integral controller embedded in a Smith predictor structure (FI-SP) is designed, which is robust to changes in such time delay. Simulated results of a standard Proportinal Integral Derivative (PID) controller, a PID controller embedded in a Smith predictor and the proposed FI-SP controller are compared. Six performance indexes have been used in this comparison. The analysis of these indexes shows that the designed FI-SP controller exhibits the most robust behavior (lowest indexes averaged in all the range of time delay variation) for ranges that include large time delays. Then the robustness features of the FI-SP controller outperform the other integer order controllers in the time responses both to set-point changes and to step disturbances. Therefore, this controller guarantees the best accuracy of temperature control. The designed FI-SP guarantees system stability and robust performance for a high range of plant time delay uncertainties.

scholarly journals Performance Analysis of Reheat Steam Temperature Control System of Thermal Power Unit Based on Constrained Predictive Control

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Xiaoli Li ◽  
Jian Liu ◽  
Kang Wang ◽  
Fuqiang Wang ◽  
Yang Li
Keyword(s):  
Control System ◽  
Steady State ◽  
Power Unit ◽  
Predictive Control ◽  
Temperature Control ◽  
Control Algorithm ◽  
Thermal Power ◽  
Temperature Control System ◽  
Steam Temperature ◽  
Reheat Steam

The reheat steam temperature control system of thermal power unit is a complex control object with time-varying parameters and large delay. In order to achieve precise control of reheat steam temperature, the performance of the reheat temperature control system is analyzed according to the data that are obtained based on the constrained predictive control algorithm. Firstly, the process and mathematical model of reheat steam temperature control system are introduced. Then the principle of constrained predictive control algorithm is analyzed. Finally, the steady-state values of control quantities of reheat steam temperature control system under different conditions are given by MATLAB simulation, and, by analyzing the steady-state values and steady-state time of the input and output of the system, the reference values and the regulating law of the control quantities and the specific constraint range of the control quantities of the system are given, which can provide reference data and theoretical basis for the field adjustment of the reheat steam temperature control system in power plant and improve the safety and effectiveness of the system.

Sign in / Sign up

Export Citation Format

Share Document