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Proceedings ArticleDOI

A model driven PID control system and its application to chemical processes

M. Yukitomo1, Y. Baba1, Takashi Shigemasa1, M. Ogawa, K. Akamatsu, S. Amano 
05 Aug 2002-Vol. 4, pp 2656-2660
TL;DR: A new model driven PID control system is proposed, which is combined with the following control scheme; PD feedback, internal model control, set point filter and PV filter to improve the control performances of PID control systems.
Abstract: PID control systems are used as a basic control technology in contemporary industry However, there are issues regarding control performances for some controlled processes, such as long dead-time processes and unstable processes In order to improve the control performances of PID control systems, we proposed a new model driven PID control system, which is combined with the following control scheme; PD feedback, internal model control, set point filter and PV filter In this paper, the model driven PID control system, its design method and application results for chemical processes are described
Citations
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Journal ArticleDOI
TL;DR: An Integral of Time Absolute Error (ITAE) zero-position-error optimal tuning and noise effect minimizing method is proposed for tuning two parameters in MD TDOF PID control system to achieve the desired regulating and disturbance rejection performance.
Abstract: In this paper, performance-based parameter tuning method of model-driven Two-Degree-of-Freedom PID (MD TDOF PID) control system has been proposed to enhance the control performances of a process. Known for its ability of stabilizing the unstable processes, fast tracking to the change of set points and rejecting disturbance, the MD TDOF PID has gained research interest recently. The tuning methods for the reported MD TDOF PID are based on internal model control (IMC) method instead of optimizing the performance indices. In this paper, an Integral of Time Absolute Error (ITAE) zero-position-error optimal tuning and noise effect minimizing method is proposed for tuning two parameters in MD TDOF PID control system to achieve the desired regulating and disturbance rejection performance. The comparison with Two-Degree-of-Freedom control scheme by modified smith predictor (TDOF CS MSP) and the designed MD TDOF PID tuned by the IMC tuning method demonstrates the effectiveness of the proposed tuning method.

43 citations

Patent
10 Jul 2013
TL;DR: In this article, a model-driven PID control method and a model driven PID control device are presented, which consists of an obtaining unit, a scaling unit, feedback unit, compensation unit, and a control unit.
Abstract: The invention provides a model driven PID control method and a model driven PID control device The control method comprises the following steps: obtaining the status value of a controlled object; scaling the deviation between the status value and an ideal value of the controlled object according to a predetermined proportionality coefficient to generate a scaling signal; generating an input signal according to the scaling signal and a feedback signal serving as positive feedback; generating a control signal according to the input signal and a compensation signal serving as negative feedback; and controlling the controlled object according to the control signal The model driven PID control device comprises an obtaining unit, a scaling unit, a feedback unit, a compensation unit and a control unit According to the model driven PID control method and the model driven PID control device, time required by adjustment of the controlled object can be shortened, shake of the controlled object during an adjustment process can be eliminated, and the controlled object is stable

5 citations

Proceedings ArticleDOI
28 May 2015
TL;DR: In this article, a Fuzzy Logic Controller (FLC) for flow control applications is proposed to overcome problems inherited with conventional PID control scheme such as handling unpredictable disturbance, non-measurable noise as well as further improve the transient state and steady state response performance.
Abstract: Flow control is essential in many industrial applications such as chemical reactors, heat exchangers and distillation columns. Most industrial processes exhibit nonlinearities and inherit dead time, which limit the performance of conventional PID controllers. This Project is about the design and implementation of Fuzzy Logic Controller (FLC) for flow control applications. The objective is to overcome problems inherited with conventional PID control scheme such as handling unpredictable disturbance, non-measurable noise as well as further improve the transient state and steady state response performance. The proposed control scheme is implemented in Flow Control and Calibration Pilot Plant. The design is done using Matlab/Simulink software package and is connected to the Pilot Plant through USB-type DAQ cards. Simulation and implementation results showed that the developed controller has less overshoot, good control performance, better disturbance handling ability, great robustness and is more flexible and intuitive to tune. It is expected that this advanced controller improves efficiency and productivity of industrial processes through proper handling of any disturbance or noise and increase the robustness of controller actions.

2 citations

Proceedings ArticleDOI
19 Jun 2014
TL;DR: In this paper, a tuning of proportional integral and derivative (PID) controllers for stable and unstable second order plus time delay systems (SOPTD) based on model driven two degree of freedom PID (MDTDOF PID) and internal model controller (IMC) is proposed.
Abstract: Tuning of proportional integral and derivative (PID) Controllers for stable and unstable second order plus time delay systems (SOPTD), based on Model Driven Two Degree of Freedom PID (MDTDOF PID) and Internal model controller (IMC) are proposed in this paper. Due to inherent disadvantages of conventional control techniques, model based control techniques are employed. MDTDOF PID is developed to control and maintain a constant temperature environment in Thermo Electric Cooler (TEC) and IMC PID controller is designed to control unstable Jacketed Continuous Stirred Tank Reactor (CSTR). The performance of the proposed controllers is compared with the conventional Ziegler-Nichols (Z-N) method. The paper also presents the simulation results for both stable and unstable systems with transfer function models to show the effectiveness and advantages of proposed methods.

1 citations


Cites background from "A model driven PID control system a..."

  • ...Commercial PID Controllers [1] that are widely used in industries have simple architecture and are used in an existing plant to correct the error in the output....

    [...]

Journal ArticleDOI
Li Xiang Zhang1
TL;DR: A new two degree of freedom model driven PID control system is introduced in this paper and it is used to the unstable processes with time delay and is capable of stabilizing with unstable processes.
Abstract: PID control systems are the most commonly used control technology in industries. However, there are issues on control performances for the unstable process with time delays. In order to improve the control performances of PID control systems, a new two degree of freedom model driven PID control system is introduced in this paper and it is used to the unstable processes with time delay. The model driven PID control is capable of stabilizing with unstable processes by using PD feedback, regulating quickly for disturbance and tracking quickly to the change of set point. With case studies comparing with conventional PID control systems was done.

Cites methods from "A model driven PID control system a..."

  • ...In order to improve these issues, a Model Driven PID control system, which is combined with PD feedback block, IMC block and a set point filter block was proposed by Shigemasa et al[5]....

    [...]

References
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