Monday, January 28, 2019

How PID auto-tuning works?

Whatever the industry type is, the global competition has led to the improvisation of process control to increase the workflow. Similarly, for the PID auto-tuning, PID auto tuner has been improvised according to the business needs.

Now, know a little bit about the PID auto-tuning system.

Back in the days, PID controllers were tuned manually using the simplest rules based on process experiments. However, those simple rules enabled poor performances. On the other hand, the auto-tuning has increased the use of derivative action. Because of the derivative action, the PID auto-tuning system is widely and extensively used in industrial applications.

Although many systems of the advanced control have been improvised over the years, the PID system remains the most controller system. With PID auto-tuning, any stable system can be controlled and integrated to improve performance.

PID auto tuner


Technically, the PID auto tuner responds to any work by blocking work. The tuner performs a frequency-response based estimation experiment. The blocking part works by injecting test signals into the application system and tunes accordingly an estimated frequency response.

Basically, the tuning algorithm focus on balancing the performance while achieving the ultimate result. The bottom line is, with auto-tuning, the PID controller allows you to validate closed-loop performance in real time. Today, the PID control system is used anywhere and everywhere starting from the machine tools, vehicles to HVAC, especially in the process and manufacturing industries.
Over the past few years, different innovative approaches have been PID tuning have been developed. 

Each PID tuning method has its advantages and disadvantages as well. However, compared to the drawbacks, you could see the advantages more. Each method can be successfully used for tuning rules for use in industrial applications. With the improvisation of the PID auto-tuning system along with the advancement of technology, the productivity of industries has improved eventually. That’s why the PID auto-tuning system is widely used in the process and manufacturing industries all over the world.

Nonetheless, if you are looking forward to working with a company to invest in PID software, PI Control Solutions is your one-stop destination. The process control software we develop is powerful, compact, and easy to use. We have been successfully developing software and delivering to our clients ever since the inception of our global platform. Hence, it’s time you pick up the phone and call us if you wish to work with us. We would be delighted to help you in taking your business on the next level.


We look forward to hearing from you!

Thursday, January 24, 2019

A basic introduction to the application of Model Predictive Control (MPC)

It’s no surprise that industries rely on the advanced method of process control to run important applications. Similarly, maximum industries rely on the MPC model improvement application for a significant amount of tasks.

Over the last two decades, MPC has developed considerably because of receiving significant attention from both research communities and global industries. In fact, industries have been using the application strategies for stabilizing and maximizing productivity and process control system.

Why use MPC?                                
·         It handles multiple applications and constraints
·         It handles structural changes
·         It’s an easy to tune method
·         It enables the plants to function within limits for a better performance
·         It is very helpful for operators and engineers in handling certain tasks.
MPC model improvement


Some applications of MPC utilized in wide varieties of industries are-

·         Chemical and petrochemical plants
·         Food processing industries
·         Automotive industry
·         Power generation industries
·         Power converters
·         Aerospace industries
·         HVAC systems

The two types of MPC are-
·         Linear MPC and
·         Nonlinear MPC
Now, know about the variations of MPC. They are-
Robust MPC, Feedback MPC, Pre-computed MPC, and Decentralized MPC.

Moreover, Model Predictive Control (MPC) is an advanced method that is extensively and widely used for research purposes and industrial purposes as well. The application method merges with certain principles of numerical optimization and feedback control. It opens the doors to the possibilities of using and optimizing certain important applications. In fact, the primary framework of MPC has found a clear path to the practical implementations and optimizations problems. With the development of technology and cloud computing, the MPC application method process has developed more and is used in various types of energy and building systems.

Overall, Model Predictive Control (MPC) application plays a crucial role in research and industrial purposes by making the task easier for engineers and technicians. Whether it’s in power plant industries, food processing industries, or power generation industries, the application of MPC is widely and extensively used. As a matter of fact, it’s impossible to complete certain tasks without the help of this application system. It has marked its impact in the global market. Now, engineers and technicians know the importance and necessity of using the application of MPC.


Nevertheless, to learn more about the application of MPC, you can visit the website of Pi Control Solutions. We are a leading OEM that has earned global recognition because of the contribution we made in the development of software and technology for various industries. We have amazing information about MPC waiting for you on our website. Please visit the website to discover the secrets of our services.