Dynamic matrix control optimization based new PIPD type control for outlet temperature in a coke furnace

Li, Haisheng; Zhou, Hongbo; Zhang, Jianming

doi:10.1016/j.chemolab.2015.02.013

Cited by 9 publications

(4 citation statements)

References 41 publications

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“…Step 3: By using the Eq (30) and Eq (31), the centroid can be found for the PI controller and the stability region can be obtained by plotting the − region. Eq (35) and Eq (36) are obtained using the controller parameters and with the cusp and corner points of and as,…”

Section: B Fopi-fopd Based Modification Of Primary Loopmentioning

confidence: 99%

“…The concept of PI-PD combined with the cascade structure for the stable and unstable process with the larger dead-time will provide the expected closed-loop response when the proper tuning methods are used. However, with the tuning methods of PI-PD controllers, there some severe problems pointed out in the chemical process due to uncertainties and larger delay time [26][27][28][29][30][31][32][33]. superior performance is reported recently with fractional controller design over the integer design.…”

Section: Introductionmentioning

confidence: 99%

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Modified Cascade Controller Design for Unstable Processes With Large Dead Time

Chandran

Murugesan

Gurusamy³

et al. 2020

IEEE Access

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In this paper, a simple controller design with the fractional order calculations applies to unstable cascade processes with a significant time delay. Series cascade control system consists of two loops in which the inner loop is designed using the IMC principle based on the synthesis method. The primary controller is designed with the FOPI-FOPD controller to ensure stable and satisfactory closed-loop performances for the unstable processes. For the primary controller, five tuning parameters are involved, which tuned using the centroid of the convex stability region method. Different examples are given to illustrate the superiority of the proposed design over some existing designs. Results obtained from simulation reveals that with the proposed control design, enhanced closed-loop control performances are obtained for nominal and perturbed conditions.

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Section: B Fopi-fopd Based Modification Of Primary Loopmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modified Cascade Controller Design for Unstable Processes With Large Dead Time

Chandran

Murugesan

Gurusamy³

et al. 2020

IEEE Access

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show abstract

“…Over the past four decades, model predictive control schemes such as dynamic matrix control (DMC) have become firmly established in the refinery and commodity chemical industries due to their ability to handle multivariable processes, variable constraints, slow response times, and time delays [22,23]. DMC involves the online solution of a quadratic programming problem [24,25], providing considerable flexibility compared to traditional proportional integral derivative (PID) control [26,27].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Matrix Control of a Bubble‐Column Reactor for Microbial Synthesis Gas Fermentation

Liang

Henson³

et al. 2017

Chem Eng & Technol

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A spatiotemporal metabolic model of a representative syngas bubble-column reactor was applied to design and evaluate dynamic matrix control (DMC) schemes for regulation of the desired by-product ethanol and the undesired by-product acetate. This model was used to develop linear step response models for controller design and also served as the process in closed-loop simulations. A 2 2 DMC scheme with manipulation of the liquid and gas feed flows to the column provided a superior performance to proportional integral (PI) control due to slow process dynamics combining the multivariable and constrained nature of the control problem. Ethanol concentration control for large disturbances was further improved by adding the flow of a pure hydrogen stream as a third manipulated variable. The advantages of DMC for syngas bubble-column reactor control are demonstrated and a design strategy for future industrial applications is provided.

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“…The control performance of these applications has been reported to be excellent. For example, PID was combined with predictive functional control (PFC) [22][23][24][25], synthesized with generalized predictive control (GPC) [26,27], compounded with dynamic matric control (DMC) [28,29], composited of some other predictive methods as shown in [30,31].…”

Section: Introductionmentioning

confidence: 99%

Multiple Model Predictive Functional Control for Marine Diesel Engine

Wang

Liu

et al. 2018

Mathematical Problems in Engineering

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A novel control scheme based on multiple model predictive functional control (MMPFC) is proposed to solve the cumbersome and time-consuming parameters tuning of the speed controller for a marine diesel engine. It combines the MMPFC with traditional PID algorithm. In each local linearization, a first-order plus time delay (FOPTD) model is adopted to be the approximate submodel. To overcome the model mismatches under the load disturbance conditions, we introduce a method to estimate the open-loop gain of the speed control model, by which the predictive multimodels are modified online. Thus, the adaptation and robustness of the proposed controller can be improved. A cycle-detailed hybrid nonlinear engine model rather than a common used mean value engine model (MVEM) is developed to evaluate the control performance. In such model, the marine engine is treated as a whole system, and the discreteness in torque generation, the working imbalance among different cylinders, and the cycle delays are considered. As a result, more reliable and practical validation can be achieved. Finally, numerical simulation of both steady and dynamic performances of the proposed controller is carried out based on the aforementioned engine model. A conventional welltuned PID with integral windup scheme is adopted to make a comparison. The results emphasize that the proposed controller is with stable and adaptive ability but without needing complex and tough parameters regulation. Moreover, it has excellent disturbance rejection ability by modifying the predictive multimodels online.

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Dynamic matrix control optimization based new PIPD type control for outlet temperature in a coke furnace

Cited by 9 publications

References 41 publications

Modified Cascade Controller Design for Unstable Processes With Large Dead Time

Modified Cascade Controller Design for Unstable Processes With Large Dead Time

Dynamic Matrix Control of a Bubble‐Column Reactor for Microbial Synthesis Gas Fermentation

Multiple Model Predictive Functional Control for Marine Diesel Engine

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