Advanced Process Control (APC) is a solution practice drawing elements from many disciplines, ranging from control engineering, signal processing, statistics, decision theory and artificial intelligence. All of them are applied typically on top of a basic Distributed Control System in order to improve the speed and accuracy of controlling a process, through reduced variability and increased predictability. Once this reduced variability and increased predictability is achieved, the plant operating conditions are moved closer to process constraints to maximize performance.

We offer to the Chemical, Petrochemical and Refining industries a full range of process control delivery services, from project management to final controller testing and commissioning:

  • Regulatory process control evaluation studies
  • DCS layer evaluation study
  • Advanced process control Front-End Engineering and Design studies
  • Implementation of advanced process controllers
    • Plant step tests
    • Controller modeling and configuration, , inferential property estimation.
    • SPYRO™ cracking furnace modeling
    • Final controller commissioning
    • Review, and update of existing advanced process controllers
    • Project management

Aspen DMCPlus

Hyperion use AspenTech’s field-proven multivariable control algorithm of Dynamic Matrix Control (DMC), pioneered by Dr. Charles Cutler in 1979. The heart of the application is DMCplus, a model-based predictive controller, supplemented by a number of companion applications, as shown below

SoftwareArea of ApplicationLinks
Aspen APC family Main advanced process control applicationInformation 
Aspen Inferential Qualities Real-time estimates of unmeasured properties; reduces expensive, time-consuming lab work. Information
Aspen Watch Performance Monitor Real-time monitoring and diagnostic information for regulatory process control; automatic identification of controllers that need to be reviewed Information
Aspen OnLineOn-line execution of an equation-oriented process model for continuous, closed-loop profit optimization Information 

DMCplus uses a time-based step-response model of the process to determine the best set of controller set-point incremental changes that will:

  • Maintain the process within appropriate operating parameters
  • Optimize process conditions based on a set of economic constraints
  • Address process disturbances, both measured and unmeasured.

Some of the key software features are as follows:

  • DMCplus offers a state of the art interface, allowing construction of dynamic process models from collected on-line data for each pair of independent versus dependent variable in the controller design
  • Convenient data analysis: input data smoothing, curve transformations, seamless addition or exclusion of data blocks, combination of model subsets into an overall model etc.
  • Ability to simultaneously manage multiple constraints and optimize an objective function based on economic targets, either on-line or off-line.
  • Integration with real-time database InfoPlus.21 allows the implementation of complex sequences managing multiple plant steady states or grade transitions
  • Compatibility with the leading Distributed Control Systems
  • In-built connectivity with automated plant optimization software, such as Aspen OnLine real time optimizer
  • Dynamic simulation capability with both graphical and tabular interfaces allowing engineers to review the configuration and controller predictions against real data
  • Critical process properties that are not measured directly, such as composition, may be inferred from related process measurements such as temperature, pressure and flow, using Aspen Inferential Qualities.