Training Syllabus:

ADVANCED CONTROL FOUNDATION

 

TRAINING INTRODUCTION:

The training is arranged for the process or control engineer who is familiar with traditional control but has little or no experience in designing, installing, commissioning and maintaining advanced control applications. Each session is provided to allow the participants to quickly understand the technology and how it is applied. Application examples are used to show the requirements for addressing an application. Also, a section of each session is dedicated to a more in-depth discussion of the technology for readers who are interested in understanding the mathematical basis for the technology. The training provides comprehensive coverage of the major advanced control techniques that are most commonly used in the process industry. This includes tools for monitoring control system performance, on-demand and adaptive tuning techniques, model predictive control, LP optimization, data analytics for batch and continuous processes, fuzzy logic control, neural networks and advancements in PID for use with wireless measurements. Since many engineers may work with an existing DCS that does not support advanced control, a session of the training is dedicated to tools and techniques that useful in integrating advanced control tools into an existing control system. Also, one session addresses how dynamic process simulations may be easily created in a DCS to support checkout and operator training on the use of advanced control.

 

TRAINING OBJECTIVE:
After completing this course, participants will be able to:

         Monitor and evaluate the control performance

         Tune the controllers (manual or automatic tuning)

         Analyze the plant data for process optimization

         Operate the tuning window in DCS platform

         Integrate advanced control tools into an existing control system

         Optimize the operation of the process plant

 

TRAINING MATERIAL OUTLINE:

1.      Evaluating Control System Performance

2.      On-demand Tuning

3.      Adaptive Tuning

4.      Fuzzy Logic Control

5.      Neural Networks for Property Estimation

6.      Intelligent PID

 

7.      Continuous Data Analytics

8.      Simple model predictive control (MPC)

9.      MPC Integrated with Optimization

10.   On-line Optimization

 

 

TRAINING METHODES:

1.    Tutorial/Class

2.    Software Simulation and Demo

3.    Workshop/Practices

4.    Interactive Discussions

 

CLASS/EXERCISES/WORKSHOP:

1.    Adaptive Tuning Workshop

2.    Fuzzy Logic Control Workshop

3.    Fuzzy Logic Control Workshop

4.    Intelligent PID Workshop

5.    MPC Integrated with Optimization Workshop

6.    Neural Networks for Property Estimation Workshop

7.    On-demand Tuning Workshop

8.    Process Simulation Workshop

9.    Process Simulation Workshop

10. Simple MPC Workshop

 

INSTRUCTOR : Dr. Ade Haryanto, Ph.D. and Team

 

VENUE : Kagum Group Hotel Bandung (Golden Flower, Banana Inn, Serela, Gino Feruci), Amaroossa Hotel, Noor Hotel, Grand Setiabudi Hotel, dll

 

TRAINING DURATION : 4 days

 

WAKTU TRAINING :

1. 29 Jan 2018-01 Feb 2018

2. 26 Feb 2018-01 Mar 2018

3. 26 Mar 2018-29 Mar 2018

4. 23 Apr 2018-26 Apr 2018

5. 28 May 2018-31 May 2018

6. 25 Jun 2018-28 Jun 2018

7. 23 Jul 2018-26 Jul 2018

8. 30 Jul 2018-02 Aug 2018

9. 24 Sep 2018-27 Sep 2018

10. 29 Oct 2018-01 Nov 2018

11. 26 Nov 2018-29 Nov 2018

12. 03 Dec 2018-06 Dec 2018

 

 

HARGA INVESTASI/PESERTA :

1.    Rp. 7.950.000/peserta (bayar penuh) atau

2.    Rp. 7.750.000/peserta (early bird, yang membayar 1 minggu sebelum training) atau

3.    Rp. 7.500.000/peserta (peserta bergroup yang terdiri dari 3 peserta atau lebih dari 1 perusahaan yang sama)

 

 

FACILITIES FOR PARTICIPANTS :

1.    Training Module

2.    Flash Disk contains training material

3.    Certificate

4.    Stationeries: NoteBook and Ballpoint

5.    T-Shirt

6.    Backpack

7.    Training Photo

8.    Training room with full AC facilities and multimedia

9.    Lunch and twice coffeebreak everyday of training

10. Qualified instructor

11. Transportation for participants from hotel of participants to/from hotel of training (if minimal number of participants from one company is 4 persons)