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ADVANCE PROCESS CONTROL
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DI05017031
Code: DI05017031
Credits: 4
Semester 5
PE
Advance Process Control
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Follow on Instagram for UpdatesAdvance Process Control Syllabus — Unit-wise Content
The official GTU curriculum for Advance Process Control (subject code DI05017031) as prescribed for PE · Semester 5 divides the course into 5 units, covering 70 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (DI05017031)Unit 1 Introduction to Process Control
- 1.1. Introduction Brief review of process and process control concepts Role of process control in modern industries Applications of process control in industries (chemical, thermal, manufacturing, automation systems)
- 1.2. Types of Processes Types of industrial processes (overview only) Characteristics of industrial processes (non- linearity, dead time, disturbances) Examples of industrial processes and control challenges
- 1.3. Industrial Challenges in Process Control Challenges in controlling real industrial processes Effect of disturbances and uncertainties Performance requirements (accuracy, stability, robustness)
- 1.4. Process Variables Process variables in industrial context Interaction of controlled, manipulated, and disturbance variables
- 1.5. Control System Configuration Industrial control system architecture (overview) Limitations of open-loop and simple feedback systems in industries Need for improved control strategies
- 1.6. Control Objectives in Industrial Systems Servo and regulatory control (brief overview)
- 8. 20 % GUJARAT TECHNOLOGICAL UNIVERSITY Program Name: Diploma Engineering Level: Diploma Branch: Instrumentation and Control Engineering Subject Code: DI05017031 Subject Name: Advance Process Control w.e.f. 2026-27 http://syllabus.gtu.ac.in/ Page 3 of 11 Control objectives in industrial processes (setpoint tracking and disturbance rejection)
- 1.7. Control Strategies Feedback control and its industrial significance Feedforward control for disturbance rejection
- 1.8. Process Control System Design Steps in process control system design (overview) Selection of control strategy based on process requirements Role of simulation and testing in control design
Unit 2 Closed-loop Response
- 2.1. Closed-loop Control System (Overview) Brief review of closed-loop control system Practical understanding of closed-loop behavior in industrial control systems
- 2.2. Controllers in Industrial Systems Role of P, PI, PD, PID controllers in process industries Effect of controllers on system performance Comparison based on industrial applications
- 2.3. System Response Analysis Interpretation of system response for standard inputs (step, ramp, etc.) Time response parameters (rise time, settling time, overshoot)
- 2.4. Integral Windup and Anti-windup Concept of integral windup Methods of anti-windup
- 2.5. Controller Tuning Methods Process Reaction Curve method Ziegler–Nichols tuning method
- 2.6. Performance Evaluation Criteria Integral Absolute Error (IAE) Integral Square Error (ISE) Integral Time Absolute Error (ITAE)
Unit 3 Digital Controllers
- 3.1. Introduction to Digital Control Systems Concept of digital control Comparison of analog and digital control systems Advantages of digital control systems
- 3.2. Direct Digital Control (DDC) System Definition of Direct Digital Control (DDC) Basic components of DDC system
- 9. 20 % GUJARAT TECHNOLOGICAL UNIVERSITY Program Name: Diploma Engineering Level: Diploma Branch: Instrumentation and Control Engineering Subject Code: DI05017031 Subject Name: Advance Process Control w.e.f. 2026-27 http://syllabus.gtu.ac.in/ Page 4 of 11 Block diagram of DDC system Working principle of DDC system
- 3.3. Communication and Operation of DDC Signal flow in DDC system Data acquisition and control action Role of sensors, actuators, and controllers in DDC
- 3.4. Benefits and Limitations of DDC Advantages of DDC systems Limitations of DDC systems
- 3.5. Digital Controller Realization Concept of digital controller realization Basic implementation of digital controllers using computer/microprocessor
- 3.6. Discrete Domain Analysis Concept of discrete-time signals Sampling and quantization Difference between continuous-time and discrete- time systems Basic idea of discrete domain representation
- 3.7. Applications of DDC DDC of air heater DDC of DC motor speed control
- 3.8. Future Trends in Digital Control IoT integration in control systems Machine learning in control systems Advanced analytics in control
Unit 4 Advanced Control Strategies
- 4.1. Cascade Control Concept and features of cascade control Block diagram of cascade control system Advantages of cascade control Applications: Jacketed CSTR, Boiler Drum Level Control
- 4.2. Feedforward Control Detailed concept of feedforward control Feedforward control configuration Advantages and limitations of feedforward control Applications: Distillation Column, Heat Exchanger, Drum Boiler
- 4.3. Feedforward–Feedback Control Concept of combined feedforward–feedback control
- 13. 30 % GUJARAT TECHNOLOGICAL UNIVERSITY Program Name: Diploma Engineering Level: Diploma Branch: Instrumentation and Control Engineering Subject Code: DI05017031 Subject Name: Advance Process Control w.e.f. 2026-27 http://syllabus.gtu.ac.in/ Page 5 of 11 Advantages of combined control strategy
- 4.4. Ratio Control Concept of ratio control Basic configuration of ratio control system Applications of ratio control
- 4.5. Selective Control Concept of selective (override) control Types of selective control Applications: o Protection of boiler drum o Protection of steam distribution system o Prevention of flooding in distillation column Split-range control
- 4.6. Adaptive Control Concept of adaptive control Types of adaptive control: o Programmed adaptive control o Self-adaptive control o Model reference adaptive control o Self-tuning regulator Adaptive control configuration
Unit 5 Introduction to Neural-Fuzzy System
- 5.1. Introduction to Artificial Neural Network (ANN) Concept of Artificial Neural Network Basic structure of ANN (neurons and layers) Perceptron model
- 5.2. Types of ANN (Overview) Types of neural networks (basic idea) Feedforward neural network Feedback (recurrent) neural network
- 5.3. Applications of ANN Applications of ANN in control systems Industrial applications of ANN
- 5.4. Introduction to Fuzzy Logic Concept of fuzzy logic Crisp logic vs fuzzy logic
- 5.5. Basic Fuzzy Logic System Basic structure of fuzzy logic system Fuzzification and defuzzification (concept only)
- 5.6. Comparison and Applications Basic comparison of ANN and fuzzy logic
- 6. 10 % GUJARAT TECHNOLOGICAL UNIVERSITY Program Name: Diploma Engineering Level: Diploma Branch: Instrumentation and Control Engineering Subject Code: DI05017031 Subject Name: Advance Process Control w.e.f. 2026-27 http://syllabus.gtu.ac.in/ Page 6 of 11 Applications of fuzzy logic in control systems Total 45 Hrs 100% SUGGESTED PRACTICAL EXERCISES: The following practical outcomes (PrOs) that are the sub-components of the COs. Some of the PrOs marked ‘*’ are compulsory, as they are crucial for that particular CO. These PrOs need to be attained at least at the ‘Precision Level’ of Dave’s Taxonomy related to ‘Psychomotor Domain’. Sr. No. Practical Outcomes (PrOs) Approx. Hrs. Required
- 1. Design and simulate an open-loop and closed-loop control system using simulation software. 02
- 2. Study and simulate the basic block diagram of a process control system. 02
- 3. Design and simulate a closed-loop control system and analyze stability and time response. 02
- 4. Design and Simulate a PID controller for temperature regulation in a simulated system. 02
- 5. Compare the performance of P, PI, PD, and PID controllers using step response analysis. 02
- 6. Study the effect of controller parameters (Kp, Ki, Kd) on system performance. 02
- 7. Tune a PID controller using Ziegler–Nichols method and evaluate system performance. 02
- 8. Develop and simulate a Direct Digital Control (DDC) system for a simple process. 02
- 9. Design and simulate a DDC system for temperature control (heating application). 02
- 10. Study the effect of sampling time on digital control system performance. 02
- 11. Design and simulate a cascade control system. 02
- 12. Design and simulate a feedback control system. 02
- 13. Design and simulate a feed forward control system. 02
- 14. Design and simulate a ratio control system. 02
- 15. Design and simulate a selective control system. 02 GUJARAT TECHNOLOGICAL UNIVERSITY Program Name: Diploma Engineering Level: Diploma Branch: Instrumentation and Control Engineering Subject Code: DI05017031 Subject Name: Advance Process Control w.e.f. 2026-27 http://syllabus.gtu.ac.in/ Page 7 of 11 Sr. No. Practical Outcomes (PrOs) Approx. Hrs. Required
- 16. Study the basic concept of adaptive control using simulation. 02
- 17. Compare the performance of two control systems using simulation. 02
- 18. Study and simulate the basic working of an Artificial Neural Network (ANN) for simple system behavior using simulation tools. 02
- 19. Design and simulate a simple fuzzy logic controller using simulation tools. 02 Note i. More Practical Exercises can be designed and offered by the respective course teacher to develop the industry relevant skills/outcomes to match the COs. The above table is only a suggestive list. ii. The following are some sample ‘Process’ and ‘Product’ related skills (more may be added/deleted depending on the course) that occur in the above listed Practical Exercises of this course required which are embedded in the COs and ultimately the competency. Sr. No. Sample Performance Indicators for the PrOs Weightage in %
- 1. Prepare experimental setup 30
- 2. Operate the equipment setup or circuit 10
- 3. Follow safe practices measures 20
- 4. Record observations correctly 20
- 5. Interpret the result and conclude 20 Total 100 MAJOR EQUIPMENT/ INSTRUMENTS AND SOFTWARE REQUIRED: These major equipment/instruments and Software required to develop PrOs are given below with broad specifications to facilitate procurement of them by the administrators/management of the institutes. This will ensure conduction of practical in all institutions across the state in proper way so that the desired skills are developed in students. Sr. No. Equipment Name with Broad Specifications PrO. No.
- 1. Computer System with minimum i5 processor, 8 GB RAM 1–19
- 2. Simulation Software (MATLAB/Simulink or equivalent) 1–19 GUJARAT TECHNOLOGICAL UNIVERSITY Program Name: Diploma Engineering Level: Diploma Branch: Instrumentation and Control Engineering Subject Code: DI05017031 Subject Name: Advance Process Control w.e.f. 2026-27 http://syllabus.gtu.ac.in/ Page 8 of 11
- 3. MATLAB Control System Toolbox / Equivalent 3–7, 10– 15
- 4. MATLAB Simulink Environment 1–15
- 5. Fuzzy Logic Toolbox / Equivalent Simulation Tool 19
- 6. Basic ANN Simulation Tool (MATLAB or equivalent) 18
- 7. Data Acquisition / Control Trainer Kit (optional) 8–9
- 8. Projector / Display System for demonstration All
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