Programmable logic controller implementation of an auto-tuned predictive control based on minimal plant information

Valencia‐Palomo, Guillermo; Rossiter, J.A.

doi:10.1016/j.isatra.2010.10.002

Cited by 65 publications

(29 citation statements)

References 17 publications

(26 reference statements)

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“…The control program is constructed from several tasks (blocks) that are executed in a given sequence by operating system [5,6]. This observation is very important.…”

Section: Implementation Outline Of An Event Driven Conceptmentioning

confidence: 99%

“…The difference observer circuit is fully transparent for the system. The hardware assisted difference observation facilitate meeting the constraints and performance requirements for event driven system given by (6)(7)(8)(9)(10)(11). In order to enable comparison between a current memory cell content and a written value the memory module with separated input and output buses is used with an edge triggered data write (sometimes called an addressable register).…”

Section: Hardware Assisted Event Detectionmentioning

confidence: 99%

“…A PLC operates in a closed loop with controlled object and must not operate in pipelined fashion. A tight correspondence between control algorithm and object response is required [4][5][6]. The PLC computation cycle is shown schematically in the Fig.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

On the systematic method of conditional control program execution by a PLC

Milik

Chmiel

Hrynkiewicz

2016

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. The paper presents an original idea of the selective control program execution that allows significant response time reduction. The exhaustive analysis of the PLC program performance is given. An analytic approach explains the idea of the selective control program evaluation and gives the requirements for its feasibility. There is presented a systematic and formal method of program analysis based on a data flow graph approach. The method generates acyclic graph from the control program that is subject of optimization, variable allocation and instruction generation. The graph approach allows determining variables dependencies and task partitioning required by selective program execution. The method utilize the hardware supported variable changes detection. It is transparent for system operation and enables evaluation of blocks that require update.

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“…The control program is constructed from several tasks (blocks) that are executed in a given sequence by operating system [5,6]. This observation is very important.…”

Section: Implementation Outline Of An Event Driven Conceptmentioning

confidence: 99%

Section: Hardware Assisted Event Detectionmentioning

confidence: 99%

See 1 more Smart Citation

On the systematic method of conditional control program execution by a PLC

Milik

Chmiel

Hrynkiewicz

2016

Bulletin of the Polish Academy of Sciences Technical Sciences

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“…However, robust MPC design techniques increase the controller computational and memory requirements and long-horizon MPC is usually deployed on expensive dedicated digital computers. There is current research into fast online MPC implementation [10]- [13] on platforms such as Programmable Logic Controllers (PLCs) and Programmable Automation Controllers (PACs) [14]. A novel IMC-based online optimizing anti-windup control structure that simultaneously handles the issues of windup and directionality is proposed in [15].…”

Section: Introductionmentioning

confidence: 99%

Two-stage multivariable IMC Antiwindup (TMIA) control of a Quadruple Tank process using a PLC

King-Hans

Heath

Alli-Oke

2014

2014 IEEE Conference on Control Applications (CCA)

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Abstract-Actuator saturation is a common phenomenon in the control of multivariable systems which causes two major problems for control engineers, namely windup and directionality. This paper focuses on a Two-stage Multivariable IMC Antiwindup (TMIA) structure for open-loop stable plants. This IMC-based control structure is of interest because it tackles the aforementioned problems in an intuitive and easy to tune way. The highlight of this structure is the solution of two low-order quadratic programs to control both steady-state and transient behaviours of the plant. The controller is tested by application to a multivariable Quadruple Tank process controlled by a PLC. The TMIA structure is found to outperform its IMC counterparts in handling windup and directionality. Results obtained demonstrate the realizability of the advanced control technique on an off-the-shelf industrial PLC. Thus the TMIA structure is presented as a competitive alternative in terms of tuning transparency and reduced computations to other advanced control techniques such as MPC which are limited by the low computational power offered by standard PLCs.

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“…Valencia-Palomo et al, 6 Bolton, 7 Reznik et al, 8 Panda, 9 and Escobar et al 10 Also, the terms APC, model predictive control (MPC) and MBC are mentioned many times in literature as in: Lababidi et al, 11 Dobos et al, 12 Zhi Gao et al, 13 Willersrud et al, 14 Al-Gherwi et al, 15 Peng et al, 16 and Malchow et al 17 As can be seen, these terms are ubiquitous in chemical process control literature. A prerequisite for APC/MPC success is a well-designed primary PID control platform with optimized parameters.…”

mentioning

confidence: 99%

Advanced Process Control Application and Optimization in Industrial Facilities

Mohler¹

2015

Kem. Ind.

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This paper describes application of the new method and tool for system identification and PID tuning/advanced process control (APC) optimization using the new 3G (geometric, gradient, gravity) optimization method. It helps to design and implement control schemes directly inside the distributed control system (DCS) or programmable logic controller (PLC). Also, the algorithm helps to identify process dynamics in closed-loop mode, optimizes controller parameters, and helps to develop adaptive control and model-based control (MBC). Application of the new 3G algorithm for designing and implementing APC schemes is presented. Optimization of primary and advanced control schemes stabilizes the process and allows the plant to run closer to process, equipment and economic constraints. This increases production rates, minimizes operating costs and improves product quality.

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Programmable logic controller implementation of an auto-tuned predictive control based on minimal plant information

Cited by 65 publications

References 17 publications

On the systematic method of conditional control program execution by a PLC

On the systematic method of conditional control program execution by a PLC

Two-stage multivariable IMC Antiwindup (TMIA) control of a Quadruple Tank process using a PLC

Advanced Process Control Application and Optimization in Industrial Facilities

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