Stop Losing Money to Process Variability With Multivariable Process Control Strategies

Stop Losing Money to Process Variability With Multivariable Process Control Strategies

In the May 2026 edition of Automation World, John Parraga, Director of Process Automation at Magnum Systems, explores how multivariable process control (MPC) strategies can help food manufacturers tackle the challenges of process variability.

Food production involves managing complex, interconnected processes, in which traditional single-loop controllers often fall short. Parraga notes that MPC systems optimize operations such as mixing, pasteurization, and drying by simultaneously managing multiple inputs and outputs. This approach improves product consistency, reduces energy use, and ensures adherence to quality standards.

 

The article outlines four proven MPC strategies:

  1. Multivariable PID Control for simpler setups
  2. Model Predictive Control (MPC/APC) for complex processes
  3. Dynamic Matrix Control (DMC) for thermal and blending operations
  4. Fuzzy Logic Control for unpredictable biological processes

Parraga emphasizes the value of a layered control architecture that integrates foundational PID systems with advanced MPC solutions to maximize efficiency.

 

To sustain optimal performance, Parraga recommends:

  • regular system maintenance
  • accurate data calibration
  • operator training

Partnering with experienced system integrators helps facilities implement and maintain the appropriate control architecture, reducing waste, protecting product quality, and improving profitability.

Click to read full article for an in-depth look at these strategies.

 

 


 

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