Model-driven PID control system in single-loop controller
01 Jan 2003-Vol. 1, pp 187-190
TL;DR: This paper has confirmed that MD TDOF PID can show better control results compared with conventional PID control, and shows some case studies results.
Abstract: PID control is widely used as a basic control technology in industries today, but tuning of PID control systems is not always easy. Based on model-driven control concept, we developed a model-driven PID control system, named MD PID controller, combining with PD local feedback, IMC and set point filter. This paper provides a brief introduction of new model driven two-degrees of freedom PID control system, named MD TDOF PID controller, and shows some case studies results. We have confirmed that MD TDOF PID can show better control results compared with conventional PID control.
Citations
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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
Cites background or methods from "Model-driven PID control system in ..."
...The parameters of PT MD TDOF PID control system tuned by method in [24] are set as follows: K = 10....
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...The main controller can be further decomposed into a gain block, a second order Q filter with tuning parameter λ, α and a first order model with time delay [24]....
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...However, in the above-mentioned works, the values of parameters in main controller and set-point filter are set based on internal model control method [24]....
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...It also shows that IT MD TDOF PID has better set point tracking performance to square wave reference signal than PT TD TDOF PID control system [24] and TDOF CS MSP control system [20]....
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...The parameters of PT MD TDOF PID control system tuned by the method in [24] are set as follows: K = 7....
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TL;DR: In this paper, a comprehensive review of control loop performance assessments in the context of building HVAC controls is presented, where the authors systematically reviewed 34 indices and the associated methods of evaluating control-loop performance and cataloged the drawbacks and merits of the different indices.
Abstract: This article presents a comprehensive review of control loop performance assessments in the context of building HVAC controls. Few studies are available for assessing HVAC control loop performance using a single control quality factor. A control quality factor should be an objective and quantitative metric with simple-to-interpret criteria and should only use data available from the actual control system, such as the control output. The authors systematically reviewed 34 indices and the associated methods of evaluating control loop performance and cataloged the drawbacks and merits of the different indices. Most of these performance assessment indices are currently used in process control industry applications. There were 14 of the 34 indices selected for further review, due to their particular suitability for implementation in HVAC control loop performance assessment. Finally, the selected 14 indices are implemented for assessments of three regulatory control loops with proportional-integral controllers:...
23 citations
TL;DR: A causal method to design the feedforward part of 2-d.o.f. industrial controllers for optimal tracking, independently of the structure of the feedback controller, of the way it was designed, and of the characteristics of the set point signal is presented.
16 citations
TL;DR: The manuscript proposes an approach based on a Finite Impulse Response digital filter that allows for an automatic selection of the feedforward path structure and for the optimisation of its parameters, thus overcoming the limitations inherent in the continuous time approaches recently presented in the literature.
16 citations
Dissertation•
07 Dec 2011
TL;DR: The comparison of the conventional model, fuzzy model and immune feedback mechanism is clarified and a parameter self-tuning PID-controller based on fuzzy control is designed, which can adjust PID-parameters according to error and change in error.
Abstract: 185 Abstract— In industrial control systems the liquid level is carrying its significance as the control action for level control in tanks containing different chemicals or mixtures is essential for further control linking set points. The three level control models are considered in our work. The conventional control algorithm is difficult to reach required control quality with more strict restriction on overshoot. Design a parameter self-tuning PID-controller based on fuzzy control, which can adjust PID-parameters according to error and change in error. Biological immune system is a control system that has strong robusticity and self-adaptability in complex disturbance and indeterminacy environments. The artificial intelligence technique of fuzzy logic and immune controller is adopted for more reliable and precise control action which incorporate the uncertain factors also. In this work the comparison of the conventional model, fuzzy model and immune feedback mechanism is clarified.
16 citations
Cites result from "Model-driven PID control system in ..."
...They have confirme d that MD TDOF PID can show better control results compared with conventional P ID control [28]....
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References
More filters
10 Dec 2002
TL;DR: A new model-driven PID control system is proposed at the first ISA/JEMIMA/SICE Joint Technical Conference in Tokyo, combined with the following control blocks; PD feedback block, internal-model control (IMC) block and set-point filter block, based on the model driven control concept proposed by Kimura at the CDC2000 in Sydney.
Abstract: PID control systems are still used as a basic control technology in today's industries. However, there are issues on 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 at the first ISA/JEMIMA/SICE Joint Technical Conference (2001) in Tokyo, which is combined with the following control blocks; PD feedback block, internal-model control (IMC) block and set-point filter block, based on the model driven control concept proposed by Kimura at the CDC2000 in Sydney. In this paper, the model-Driven PID control system and the design method are described and practical effectiveness, including two degrees of freedom properties, are shown through several case studies.
24 citations