Combined moving horizon estimation and model predictive control for main steam temperature system
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This paper considers a robust control strategy for main steam temperature system of thermal power plant that is affected by immeasurable bounded disturbances. An output-feedback min-max optimization approach is proposed to obtain a controller which could effectively reject disturbances and stabilize the system. This approach combines moving horizon estimation with model predictive control and is formulated into a min-max optimization. At each sampling time, the optimization criterion is maximized over worst-case estimate of disturbance sequence and minimized over optimal control sequence via a primal-dual interior-point method. In this way, the controller can improve robustness under constrained disturbances. Simulation results verify that the presented approach could provide significant anti-disturbance capability compared with a conventional DMC-PID strategy.Keywords:
Robustness
Model Predictive Control
Sequence (biology)
Time horizon
According to the characteristics and the temperature control requires of the heating furnace,a PID controller based on RBFNN is designed.The simulation results of PID control based on RBFNN show better control performance compared with PID control and PID control based on BPNN.
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The problem of heating slab is a very important and highly applicable problem in the material processing industry. This paper presents a method to design a PID controller according to the characteristic polynomial method to control the temperature for slab based on the transfer function model. The parameters of the PID controller are determined based on the parameters of the slab model, the heating furnace model, the converter model. The simulation results show that: the PID controller is capable of controlling the temperature of the slab to the desired temperature without over-adjusting.
Slab
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This paper introduces the design of a intelligent temperature controller based on a microcontrollerAT89S52.With PID temperature control for software programmers,an incremental control to a PID-algorithm is adopted.By enlarging the response curve PID parameters set out the whole,Matlab simulation results meet design requirement,and temperature control system has higher accuracy than before.
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PID control schemes have been widely applied to real control systems, and much research has been carried out on the tuning of PID parameters. Several self-tuning and auto-tuning techniques have been reported for PID control systems with unknown parameters. In this paper, a self-tuning PID control scheme is proposed based on the relationship between the PID control law and the generalized minimum variance control law. Furthermore, it is applied to the temperature control of a polymerizing reactor, and the results are discussed.
Self-tuning
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The study aims to expand the application of the proportion integral derivative (PID) algorithm and improve the practical application of the PID algorithm to the atomic layer deposition (ALD) process. First, the ALD process is analyzed, and the application method of the PID algorithm is determined. Second, the research conditions of the PID algorithm based on the ALD process are designed. Finally, the temperature control operation of the PID algorithm in the ALD reaction chamber is modeled and experimentally studied under different research conditions. The results show that temperature significantly impacts the reaction chambers of stainless steel and aluminum. When the heating temperature increases, the temperature of the stainless steel chamber will also change, and the maximum difference between the chamber and the heating temperature is about 33°C. In contrast, the temperature of the aluminum chamber varies little with the heating temperature. The maximum difference between the chamber temperature and heating temperature is about 350°C, which shows that the temperature of the stainless steel chamber is better controlled and is more practical under the same temperature conditions. The pressure change has little effect on the temperature change of the reaction chamber of the two materials. The temperature curves of the two chambers show that the PID temperature control system can be used normally and has strong practicability. The study provides technical support for improving the PID temperature control system and the rational use of the PID temperature control algorithm in the ALD process.
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The paper introduced a kind of intelligent temperature controller that uses PID algorithm to realize, and analyzed the digital PID algorithm and hardware scheme. The PID control algorithm has completed application in temperature control system through the software and hardware design. The temperature control has been simulated and tested by the LabVIEW, and simulation results show intelligent temperature controller based on PID algorithm has good control performance and higher accuracy.
Intelligent Control
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Abstract Commercial controllers with a proportional–integral–derivative (PID) control algorithm were introduced back in the 1940s. As it has been widely reported elsewhere, 80 years later PID is still the most common control algorithm used in the processes industry. In this article, fundamentals of PID control are outlined. Starting from the elemental constituent control actions that are at the core of the basic control law, additional considerations, functionalities, and implementation facts are also introduced. Afterward, special attention is placed on the considerations regarding PID‐based feedback control loops. Although the central concept of PID control can be gleaned from an examination of how these three terms are blended to form a control signal, the intelligent application of PID control in any given case requires an understanding of the process dynamics at hand as well of the achievable feedback properties.
Feedback Control
Control signal
Derivative (finance)
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Phase margin
Proportional control
Derivative (finance)
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This paper presents the comparison of performances between a PID temperature controller and a conventional on-off temperature controller for home-applied refrigerator. A new PID temperature controller was designed to replace the conventional on-off temperature controller to maintain the inner temperature of a refrigerator. Both temperature controllers of the conventional system and the PID were designed and evaluated using MATLAB Simulink software. The simulation shows that the PID controller was found to be more consistent and effective in maintaining the inner temperature of the refrigerator despite rapid changes in the outer temperature, than the conventional on-off controller. The both simulation results provide full graphical development which is analyzed and have been compared. The effectiveness of the PID control system and its ability to maintain the inner temperature of the refrigerator consistently than the conventional on-off controller is shown.
Open-loop controller
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Heat is one of an energy form that can move from a high temperature to a low temperature. This will strongly make the temperature outside of the room affect the temperature in the room. Therefore, the temperature in the room becomes unstable. That is a problem for room heating system which requires a stable indoor temperature output. Because of that reason, so the system needs temperature control method that can reject disturbance that derived from the outdoor temperature. This research will propose a solution that is the use of PID Disturbance Observer (PID-DOB) method for resolving that problem. The tests that we carried out is comparing the PID controller and PID-DOB by simulation with four variation temperature and calculating the performance index by using integral time absolute error (ITAE) criteria. The result showed that the ITAE average for PID is 10.51 and PID-DOB are 1.78. This result showed that PID-DOB controller can be used as temperature control which resists to the varied temperature outside the room.
Observer (physics)
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