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Journal Cover   Measurement and Control
  [SJR: 0.105]   [H-I: 15]   [30 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 0020-2940
   Published by Sage Publications Homepage  [759 journals]
  • Commercial News
    • Pages: 38 - 38
      PubDate: 2015-03-10T03:15:30-07:00
      DOI: 10.1177/0020294015571233
      Issue No: Vol. 48, No. 2 (2015)
  • Companion Company News
    • Pages: 40 - 40
      PubDate: 2015-03-10T03:15:30-07:00
      DOI: 10.1177/0020294015571232
      Issue No: Vol. 48, No. 2 (2015)
  • InstMC Membership Elections and Transfers
    • Pages: 42 - 42
      PubDate: 2015-03-10T03:15:30-07:00
      DOI: 10.1177/0020294015571228
      Issue No: Vol. 48, No. 2 (2015)
  • Interface News
    • Pages: 44 - 47
      PubDate: 2015-03-10T03:15:30-07:00
      DOI: 10.1177/0020294015571229
      Issue No: Vol. 48, No. 2 (2015)
  • Advanced Control and Optimisation in Petrochemical Industry - An
    • Authors: Yang, S.-H; Li, P.
      Pages: 48 - 49
      PubDate: 2015-03-10T03:15:30-07:00
      DOI: 10.1177/0020294014553325
      Issue No: Vol. 48, No. 2 (2015)
  • Advanced Process Control of an Ethylene Cracking Furnace
    • Authors: Li, P; Li, T, Cao, J.
      Pages: 50 - 53
      Abstract: The ethylene production plant is one of the most important units in petrochemical industry, and the ethylene cracking furnace is the heart of the plant. The ethylene cracking furnace is a multivariable, strong coupling, and nonlinear process, and therefore, it is difficult to be manipulated by traditional proportional–integral–derivative controls. This paper reports a real application of advanced process control in five 470-kton/year SC-I tubular reactors. The advanced process control deployed includes cracking outlet temperature control and feed volume control. This control system has been operating since 2012. The variation of cracking outlet temperature has been reduced from ±5 to ±1 °C with a setting time less than a few minutes even under a large-scale disturbance. The variation of feed volume has been controlled within ±1%. As a result, the advanced process control system has achieved a total production increase by 0.3%.
      PubDate: 2015-03-10T03:15:30-07:00
      DOI: 10.1177/0020294015571498
      Issue No: Vol. 48, No. 2 (2015)
  • Advanced Control in a Delayed Coking Furnace
    • Authors: Su, C; Shi, H, Li, P, Cao, J.
      Pages: 54 - 59
      Abstract: This article reports an industrial application of advanced control in a delayed coking furnace unit. The advanced control is required because of the semi-batch and semi-continuous nature of the unit. The traditional proportional–integral–derivative control has been proven not sufficient and capable for this particular petro-chemical process. The advanced control is formed by integrating a predictive functional controller with a traditional proportional–integral–derivative controller in cascade architecture with a feed-forward compensator designated for disturbance rejection. The advanced control system is implemented in a Yokogawa CS3000 integrated production control system. The application results indicate that the advanced control can significantly improve the performance of the delayed coking furnace unit in terms of the outlet temperature of furnace and oxygen concentration of the chimney.
      PubDate: 2015-03-10T03:15:30-07:00
      DOI: 10.1177/0020294015569259
      Issue No: Vol. 48, No. 2 (2015)
  • Resistance Furnace Temperature Control System Based on OPC and MATLAB
    • Authors: Cao, J; Ye, Q, Li, P.
      Pages: 60 - 64
      Abstract: This paper presents the application results of a fuzzy proportional–integral–derivative controller of temperature in an industrial resistance furnace. The challenges arise from the features of resistance furnaces such as non-linearity, strong inertia, large lag, and time-varying parameters. A fuzzy proportional–integral–derivative controller is adopted here to overcome these challenges. The hardware part of the control system is an ECS-700 distributed control system and an industrial PC, and the software part is built on Object Linking and Embedding for process control technology and MATLAB. The experimental results on an industrial furnace system show that the proposed fuzzy proportional–integral–derivative controller achieves better control performance with shorter setting time and smaller overshoot.
      PubDate: 2015-03-10T03:15:30-07:00
      DOI: 10.1177/0020294015569257
      Issue No: Vol. 48, No. 2 (2015)
  • Multi-Objective Optimization of Gas Fractionation Unit Operation
    • Authors: Hou, L; Su, C, Li, P, Cao, J.
      Pages: 65 - 68
      Abstract: Gas fractionation unit is one of the main processes in refinery industries and consumes a significant portion of energy. Optimal operation of gas fractionation unit could reduce energy consumption and therefore minimize the production cost. This paper reports a real application of multi-objective optimization in a gas fractionation unit, in which energy consumption is minimized and product yield is maximized. The optimization algorithm is based on the non-dominate sorting genetic algorithm and the sequential unconstrained minimization technique. The optimization results show that the yield of product is increased and the energy consumption is reduced in the gas fractionation unit.
      PubDate: 2015-03-10T03:15:30-07:00
      DOI: 10.1177/0020294015569258
      Issue No: Vol. 48, No. 2 (2015)
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