Process control optimization is the set of techniques and technologies that maximize plant efficiency, ensure consistent product quality, and improve control reliability. It rests on three connected principles: control system enhancement, adjusting the PID settings and advanced process control (APC) parameters that determine how a process responds; dynamic modeling, keeping the process and MPC models behind those strategies accurate; and data-driven insights, using plant data and AI to tune and adapt control loops on an ongoing basis. PiControl Solutions addresses all three with PITOPS, COLUMBO, and SUPERTUNE.
In a competitive industrial landscape, the cost of leaving PID loops, APC strategies, and MPC models untouched compounds quietly: energy waste, product variability, and MPC systems that degrade until operators switch them off entirely. Process control optimization closes that gap using data the plant already collects, in the time domain, without the disruptive step tests or MPC shutdowns that conventional re-tuning and re-identification projects usually require.
Three products, one goal: keep PID loops, APC strategies, and MPC models accurate and correctly tuned. Each targets a different layer of process control optimization, and plants often deploy more than one together.
Multi-objective PID tuning and PLC- or DCS-resident advanced process control (APC) design and optimization, performed in the time domain from existing closed-loop data. PITOPS can also improve the performance of third-party model predictive control (MPC) systems such as PACE from Yokogawa, RMPCT from Honeywell, SMOC from Shell, and DMC from AspenTech.
AI-based, fully automatic, auto-adaptive online PID auto-tuning that optimizes tens or hundreds of loops simultaneously, on the fly, without changing any loop's mode between Manual, Auto, Cascade, and Program. SUPERTUNE tunes ramped, integrating, and self-regulating processes alike.
Truly multivariable, completely closed-loop system identification for model predictive control (MPC) model improvement. COLUMBO identifies accurate open-loop process models from closed-loop MPC performance data while the MPC stays on and running, no step tests and no taking the MPC offline.
Every process control optimization effort touches one or more of these three areas, and each maps to a specific product in PiControl's suite.
The refinement of base-layer and advanced control loops: adjusting PID settings and APC parameters to get the desired process response. PITOPS specializes in multi-objective PID tuning and PLC- or DCS-resident APC design, and can also improve MPC systems such as PACE, RMPCT, SMOC, and DMC.
Correctly tuned PID and APC strategies are the foundation every other optimization layer depends on.
Understanding how a process responds to changes in its inputs. COLUMBO, a truly multivariable, completely closed-loop system identification technology, focuses on MPC model improvement, identifying accurate models directly from closed-loop MPC performance data, without step tests or taking the MPC offline.
Stale models are why MPC systems quietly degrade and eventually get switched off; accurate models keep them running.
Applying machine learning and AI to plant data to uncover hidden patterns and inform control decisions. SUPERTUNE uses AI-based PID auto-tuning to optimize tens or hundreds of loops simultaneously, without changing loop modes or running step tests.
Continuous, automated tuning closes the gap between periodic tuning studies and how process dynamics actually drift.
Process control optimization is a vital discipline that empowers organizations to streamline operations, reduce costs, maintain high-quality product output, and ensure system reliability.
PITOPS fine-tunes PID loops and PLC/DCS-resident APC strategies, reducing energy consumption and lowering production costs across the loops it touches.
Tightly controlled processes minimize variability, reducing defects and keeping product consistently within specification.
PITOPS and COLUMBO minimize waste and optimize resource utilization, for a more sustainable operation with the same equipment.
Proactive optimization identifies and addresses potential issues before they cause equipment failures or production stoppages.
Precise control keeps processes consistently operating within predefined safety parameters and optimal conditions.
SUPERTUNE ensures swift, automated responses to shifts in demand, helping plants stay agile and competitive without adding headcount.
PITOPS, SUPERTUNE, and COLUMBO are the process control optimization engines behind PiControl's engineering practice: 10,000+ PID loops tuned and 50+ MPC models re-stabilized across 200+ industrial facilities since 2005, on-site and remote, worldwide.
Request a free demo and a PiControl engineer will review your PID loops, APC strategies, and MPC systems, then recommend the right mix of PITOPS, SUPERTUNE, and COLUMBO for your plant.
A PiControl engineer will demonstrate PITOPS, SUPERTUNE, and COLUMBO against loop and MPC dynamics relevant to your plant, and map out an optimization path for your PID loops, APC strategies, and MPC systems.