Course Title: Control System II
Type of Course: Optional, Theory
Offered to: EEE
Pre-requisite Course(s): None
Compensation using pole placement technique. State equations of digital systems with sample and hold, state equation of digital systems, digital simulation and approximation. Solution of discrete state equations: by z transform, state equation and transfer function, state diagrams, state plane analysis. Stability of digital control systems. Digital simulation and digital redesign. Time domain analysis. Frequency domain analysis. Controllability and observability. Optimal linear digital regulator design. Digital state observer. Microprocessor control. Introduction to neural network and fuzzy control, adaptive control. Hα Control, nonlinear control. Elements of System Identification, Introduction to Multivariable control (decoupling, interaction, analysis &design), Introduction to optimal control and estimation, Case studies.
To develop an in-depth understanding of advanced control systems and strategies, including state-space methods, system identification, multi-variable, nonlinear, and digital control.
Design, simulate, and evaluate control systems using pole placement technique, adaptive, learning, fuzzy, and optimal control.
To develop the ability to conduct and communicate research involving control system
Fundamental understanding of concepts of Control System I, and Continuous Signals and Linear Systems.
CO No. | CO Statement | Corresponding PO(s)* | Domains and Taxonomy level(s)** | Delivery Method(s) and Activity(-ies) | Assessment Tool(s) |
---|---|---|---|---|---|
1 | explain advanced control system concepts such as state space representation, controllability, observability, digital control, system identification, multivariate system | PO(a) | C2 | Lectures, Discussions | Assignment, Class test, Final exam |
2 | analyse control systems using time-domain and frequency-domain analysis | PO(b) | C4 | Lectures, Discussions | Assignment, Class test, Final exam |
3 | define the specifications of a control system to ensure adequate performance | PO(b) | C3 | Lectures, Discussion, Demonstration | Assignment, Class test, Final exam |
4 | evaluate the stability, performance and robustness of a control system | PO(d) | C5 | Lectures, Discussion, Demonstration | Assignment, Class test, Final exam |
5 | develop several control solutions, formulates the trade-offs, chooses the options | PO(c) | C6 | Lectures, Discussion, Demonstration | Assignment, Class test, Final exam |
6 | Justify methodological choices and validate the results with respect to the specifications | PO(c) | C6 | Lectures, Discussion, Demonstration | Assignment, Final exam |
Cognitive Domain Taxonomy Levels: C1 – Knowledge, C2 – Comprehension, C3 – Application, C4 – Analysis, C5 – Synthesis, C6 – Evaluation, Affective Domain Taxonomy Levels: A1: Receive; A2: Respond; A3: Value (demonstrate); A4: Organize; A5: Characterize; Psychomotor Domain Taxonomy Levels: P1: Perception; P2: Set; P3: Guided Response; P4: Mechanism; P5: Complex Overt Response; P6: Adaptation; P7: Organization
Program Outcomes (PO): PO(a) Engineering Knowledge, PO(b) Problem Analysis, PO(c) Design/development Solution, PO(d) Investigation,
PO(e) Modern tool usage, PO(f) The Engineer and Society, PO(g) Environment and sustainability, PO(h) Ethics, PO(i) Individual work and team work,
PO(j). Communication, PO(k) Project management and finance, PO(l) Life-long Learning
* For details of program outcome (PO) statements, please see the departmental website or course curriculum
K1 | K2 | K3 | K4 | K5 | K6 | K7 | K8 | P1 | P2 | P3 | P4 | P5 | P6 | P7 | A1 | A2 | A3 | A4 | A5 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Week | Lectures | Topic |
---|---|---|
1 | 1-3 | State space methods for control and estimation, state equation and transfer function, state diagrams, state plane analysis |
2 | 4-6 | Analog vs digital control, modelling of sampled‐data systems by z-transform |
3 | 7-9 | State equation of digital systems, solution of discrete state equations |
4 | 10-12 | Stability of digital control systems, digital simulation and digital redesign. |
5 | 13-15 | Time domain analysis, frequency domain analysis, controllability and observability, digital state observer. |
6 | 16-18 | Design considerations for robust control, compensation using pole placement technique |
7 | 19-21 | Optimal feedback control and optimal estimation |
8 | 20-24 | Adaptive control |
9 | 25-27 | Microprocessor control |
10 | 28-30 | Neural network and fuzzy control |
11 | 31-33 | Hα Control, Nonlinear control |
12 | 34-36 | System Identification, multivariable control |
13 | 37-39 | Case studies: industrial control (SCADA), intelligent control, flight control, robotic control |
Class participation will be judged by in-class evaluation; attendance will be recorded in every class.
Continuous assessment will be done in the form of quizzes, assignments, in-class evaluations.
Final Examination: A comprehensive term final examination will be held at the end of the Term following the guideline of academic Council.
Class Participation 10%
Continuous Assessment 20%
Final Examination 70%
Total 100%
Modern Control Engineering: K. Ogata.
Control System Design: G. Goodwin, S. Grabe and M. Salgado
Multivariable Feedback Control: S. Skogestad and I. Postlethwaite
Robust and Optimal Control: K. Zhou, J. Doyle and K. Glover
Applied Nonlinear Control: J.-J. Slotine and W. Li
Digital Control System Analysis and Design: C. L. Phillips and H. T. Nagle
W. S. Levine. The Control Handbook: Control System Advanced Methods. The Electrical Engineering Handbook Series. CRC Press, Boca Raton, FL, second edition, 2011.
W. S. Levine. The Control Handbook: Control System Applications. The Electrical Engineering Handbook Series. CRC Press, Boca Raton, FL, second edition, 2011.
W. S. Levine. The Control Handbook: Control System Fundamentals. The Electrical Engineering Hand- book Series. CRC Press, Boca Raton, FL, second edition, 2011.
Z. Bubnicki. Modern Control Theory. Springer-Verlag Berlin Heidelberg, Heidelberg, Germany, 2005.
Online resources or supplementary materials will be shared with the class on a need basis
N.B. Besides going through relevant topics of the textbook, it is strongly advised that the students follow the class Lectures and discussions regularly for a thorough understanding of the topics.