University of Mumbai Syllabus For Semester 8 (BE Fourth Year) Advanced Process Control: Knowing the Syllabus is very important for the students of Semester 8 (BE Fourth Year). Shaalaa has also provided a list of topics that every student needs to understand.
The University of Mumbai Semester 8 (BE Fourth Year) Advanced Process Control syllabus for the academic year 2022-2023 is based on the Board's guidelines. Students should read the Semester 8 (BE Fourth Year) Advanced Process Control Syllabus to learn about the subject's subjects and subtopics.
Students will discover the unit names, chapters under each unit, and subtopics under each chapter in the University of Mumbai Semester 8 (BE Fourth Year) Advanced Process Control Syllabus pdf 2022-2023. They will also receive a complete practical syllabus for Semester 8 (BE Fourth Year) Advanced Process Control in addition to this.
University of Mumbai Semester 8 (BE Fourth Year) Advanced Process Control Revised Syllabus
University of Mumbai Semester 8 (BE Fourth Year) Advanced Process Control and their Unit wise marks distribution
University of Mumbai Semester 8 (BE Fourth Year) Advanced Process Control Course Structure 2022-2023 With Marking Scheme
| # | Unit/Topic | Weightage |
|---|---|---|
| 100 | Advanced SISO Control Strategies | |
| 200 | Digital Sampling Filtering and Control | |
| 300 | Multiloop and Multivariable Control | |
| 400 | Model Predictive Control | |
| 500 | Batch Process Control | |
| 600 | Introduction to Plantwide Control | |
| 700 | Plantwide Control System Design | |
| 800 | Optimal Control | |
| Total | - |
Syllabus
- Cascade Control, Time Delay Compensation, Inferential Control, Selective Control/Override Systems, Nonlinear Control Systems, Adaptive control Systems
- Sampling and Signal Reconstruction, Signal Processing and Data Filtering, z-Transform Analysis for Digital Control, Tuning of Digital PID Controllers, Direct Synthesis for Design of Digital Controllers, Minimum Variance Control.
- Process and Control Loop Interactions, Pairing of Control and Manipulated Variables, Singular Value Analysis, Tuning of Multi-loop PID Control Systems, Decoupling and Multivariable Strategies, Strategies for Reducing Control Loop Interactions.
- Overview of Model Predictive Control, Predictions for SISO Models, Predictions for MIMO Models, Model Predictive Control Calculations, Set Point Calculations, Selection of Design and Tuning Parameters, Implementation of MPC.
- Batch Control Systems, Sequential and Logic Control, Control During The Batch, Run-to-Run Control.
- Plantwide Control Issues, Hypothetical Plant for Plantwide Control Studies, Internal Feedback of Material and Energy, Interaction of Plant and Control System Design.
- Procedures for the Design of Plantwide Control Systems.
- A Systematic Procedure for Plantwide Control System Design.
- Case Study:- The Reactor/Flash Unit Plant, Effect of Control Structure on Closed Loop Performance.
- Introduction to Optimal Control, Batch Process Optimisation.
