HPCB(Hierarchical Predictive Control for Batch)

Outstanding solutions for Batch Process Control

Achieve improving operational efficiency, productivity, and quality in various industries

Key Features

Future setpoint control
Feed Forward Control
Feedback Control
Multi-Variable Control
batch Process optimization

Future Setpoint Control

The ability to predefine and schedule changes to setpoints (target values) of process variables at specific times during the batch execution.

Feed Forward Control

The control action is determined based on a model or understanding of the process dynamics and the effect of disturbances on the output.
The control action is calculated using the known relationship between the disturbance and the process output.

Feedback Control

Feedback control systems provide stability, robustness, and the ability to adapt to changing operating conditions, disturbances, and uncertainties.
By continuously monitoring the system's behavior and making corrective adjustments, feedback control ensures that the system maintains its desired performance and meets the specified objectives.

Multi-Variable Control

Multi-variable control is particularly beneficial when there are significant interactions and dependencies between the variables in the system.
By considering these interactions, the control system can optimize the overall performance, improve stability, reduce interactions, and achieve better control than single-variable control approaches.

Batch Process Optimization

Batch process optimization aims to enhance productivity, resource utilization, and product quality while reducing costs, waste, and environmental impact.
By systematically analyzing and improving the process, organizations can achieve higher efficiency, competitiveness, and customer satisfaction in batch manufacturing operations.

About Our Solutions

HPCB

HPCB

HPCB is a model predictive batch reactor temperature controller tracking the batch reactor temperature target profile with the non-linear heat of reaction, with the diverse features of switching hot and cold inputs, integrating with an automatic sequence procedure program and continuous process model predictive controller.

About More

Batch Process Control Workflow Steps

The process of effectively configuring a batch reactor control through strategic direction provided in each step

Step 1
Step 2
Step 3
Step 4

Step 1

Process Analysis & Design

· Data collection - Select Variable (CV,MV,DV)
· Calculate Heat of reaction
· Field study
· Basic design through data
· Detail desin through data and interview of operators

Step 2

Development & Off-line test

· Model validation
· Off-line test with self-simulator (Plant test)
· Demonstrate developed programs to operators and engineers

Step 3

Building a System

· DCS display test (HPCB)
· Install HPCB system & Interface test

Step 4

Field Application Commissioning

· Actual implementation the HPCB system with operator participation
· Reflect operator feedback
· Audit & Stabilization
· Operator training

Batch Process Control advantages

Predictive Control

  • Control considering a predetermined setpoint such as a reaction rate recipe
  • Control before disturbance affects by considering the effects of disturbance variables in advance

Process Stability ▲

  • Improve process stability by compensating and controlling the difference between predicted and actual values in real time
  • Utilize dynamic model

Optimization

  • Optimize processes by predicting in real time, taking into account the direction of economic benefits
  • Productivity & Product quality improvement

Multi Input Single Output (MISO)

  • Consider and predict multiple input variables (N) at the same time and output them in response to each situation
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