Improved parameter tuning methods for second order plus time delay processes
19 Jun 2014-pp 1-6
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.
Citations
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TL;DR: In this paper , a dual-loop hybrid control structure is proposed for dead-time unbounded second-order processes with positive/negative zeros, which is capable of minimizing the overshoot and improving the overall dynamic performance.
Abstract: Abstract Unstable processes are hard to stabilize as they contain one or more positive poles which result in unbounded dynamic behavior. The occurrence of the delay and positive zeros often creates more difficulty in controlling such unstable plants. Most control strategies meant for first-order unstable processes fail to stabilize and control the higher-order unstable processes. Hence, a new dual-loop hybrid control structure is suggested for dead-time unbounded second-order processes with positive/negative zeros. Inner-loop has a stabilizing PID controller. The PID controller parameters are derived by comparing the numerator and characteristic polynomial coefficients in the transfer function for internal-loop servo action. A fractional-order internal model controller (FOIMC) is used in the external-loop. Methods for the selection of outer-loop tuning parameter and fractional-order are also discussed. By comparing the simulation results with a contemporary single-loop scheme, the usefulness of the suggested scheme is proved. The suggested scheme is capable of minimizing the overshoot and improving the overall dynamic performance. Finally, the usefulness of the suggested scheme is also demonstrated by a case study on temperature control of a continuous stirred tank reactor (CSTR) during a first-order irrevocable exothermic reaction.
9Â citations
References
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Proceedings Article•
20 Jul 2004TL;DR: A new model driven two degrees of freedom PID control scheme is proposed, named MD TDOF PID control, in order to obtain better disturbance regulating property by extending conventional MD PID control system.
Abstract: PID control systems are widely used as a basic control technology for industrial control systems today, due to its well-known simple PID control structure. However, the tuning of the PID control systems is not always easy, because of its simple control structure for wide class of process characteristics. What is a widely applicable and simple process controller with an easy tuning and good control performance? This is a motivation of the paper. Prof. Hidenori Kimura of Univ. of Tokyo proposed "morel driven control (MDC) concept" at CDC2000 Sydney. He defined a model driven control as a control system architecture, which uses a model of the plant as a principal component of controller. PIDrd, PPI (predictive PI), IMC (internal model control) and DMC (dynamic matrix control) belong to a class of MDC. Features of MDC are simple structure, easy tuning approach and proven stability and robustness. Based on the MDC concept, aiming for wide applicability for even unstable processes, we developed a model driven PID control system, named MD PID control system, combining with a PD local feedback, an IMC and a set-point filter. That was one degree of freedom type. In this paper, we propose a new model driven two degrees of freedom PID control scheme, named MD TDOF PID control, in order to obtain better disturbance regulating property by extending conventional MD PID control system. Through some features and some practical field experiments, the MD TDOF PID control system shows good control performances with easy tuning.
30Â citations
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.
24Â citations
01 Jan 2003
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.
22Â citations
05 Aug 2002
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
7Â citations
"Improved parameter tuning methods f..." refers background in this paper
...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....
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TL;DR: This method provides a new way of thinking to the design of large time-delay control system which gets the transfer function by doing nonlinear fitting of the step response of the controlled system.
6Â citations