Model -based PID tuning
Model-based PID tuning or optimization-based PID tuning follows a predefined workflow. You first need to decide which type of controller you want to obtain. Then you retrieve data acquired from the system. Next, you identify a model that describes the reaction of the outputs to the inputs. Finally, the PID tuning software determines the tuning parameters that meet your objectives best.
Model-based PID tuning is the only way that naturally leads to this structured and first-time-right tuning process. Heuristic and rule-based tuning will always remain iterative processes. Methods such as Ziegler-Nicols and Cohen-Coon give reasonable results in many (simple) cases, but will never be as structured as model-based tuning. When dealing with more complex loops none of the other methods above actually generates satisfactory results.
Identifying model for every loop might feel time-consuming. It may seem faster to adjust the P, I, and D manually, but you’ll benefit in the long run. You’ll only have to observe your PID loop once instead of tweaking it every single time. Model-based PID tuning is efficient because the tuning process is structured, allowing you to detect and solve issues much faster.
Model-based tuning: the perfect fit for PID tuning software
Manual PID tuning is an art which requires experience. Even if you succeed in identifying all process models, it’s impossible to manually set them right the first time. PID tuning software adjusts to your specific DCS and loop type, so that you don’t have to depend on your own knowledge of the exact equations used by the loop.
The biggest challenge of tuning your PID controllers is choosing the balance between two important engineering objectives: performance and robustness. With PID tuning software you can specify how to make that consideration and obtain the perfect PID loop.
INCATools: state-of-the-art PID tuning software
INCATools is a set of process control tools that optimize your plant operations. The software is designed to make your job easier by ensuring you can overcome your challenges, even if you don’t have the academic background or the skillset of an experienced DCS engineer. On top of overcoming more basic tuning challenges with individual PID loops, you can also tune interacting loops and use cascade control tuning.
The benefits of INCATools
Both INCATools’ packages, PID Tuner and AptiTune help you calculate the right parameters, simplify the process of control improvement of individual PID loops, and help you accomplish the best results faster.
Benefits PID tuning software:
- Reproducibility of your actions, allowing you to make a translation between objectives and parameters.
- A more structured and stable production process and more efficient plant operations.
- No experience is needed, the tool will guide you through your desired controller performance.
- Fewer process oscillations resulting in less wear and tear on equipment.
- Fewer alarms and operator interventions.
- Increased product quality.