Control System Engineering

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Control System Engineering

Control System Engineering

In Control System Engineering the engineers are in charge of designing, developing, and implementing solutions for dynamic systems control. Dynamic systems are those that change over time. A Control Systems Engineer’s goal is to bring stability to these continually changing systems so that the intended result can be achieved.

This is a broad and diverse field of engineering. An example that helps illustrate the role of a control systems engineer is the development of an automobile’s antilock braking system. Therefore, based on the above definition, in this case, the control system engineer will design, develop and implement a system that controls the behavior of car brakes under various conditions i.e. different speeds, driving conditions, road surface condition, brake, temperatures, etc.

What Does a Control Systems Engineer Do in a Manufacturing Environment?

A production line is the dynamic system on which a Control Systems Engineer works in a manufacturing context. This might be a whole production line or a portion of one.

The majority of manufacturing lines contain a variety of distinct components. This comprises both human and technical components like as robots, vision systems, and so on. A Control Systems Engineer combines and organizes all of these components to guarantee that they function properly, i.e. that goods are of uniform quality and that the manufacturing line achieves volume objectives.

Control System Engineers’ Roles and Responsibilities

As an example, the Control Systems Engineer detects changes in the production line using sensors. Importantly, sensor technology has progressed significantly in recent years, allowing sensors to be used in a far broader range of applications.

The majority of a Control Systems Engineer’s job is done on a computer utilizing mathematical modelling. A Regulate Systems Engineer can use computer simulations to discover how to control the system’s variables and, ultimately, the manufacturing line. They will next create software to implement this control in a real-world setting.

Modules covered in Control System Engineering

MODULE-I

State Variable Analysis and Design: Introduction, Concepts of State, Sate Variables and State Model, State Models for Linear Continuous-Time Systems, State Variables and Linear Discrete-Time Systems, Diagonalization, Solution of State Equations, Concepts of Controllability and Observability, Pole Placement by State Feedback, Observer based state feedback control.

MODULE-II

Introduction of Design: The Design Problem, Preliminary Considerations of Classical Design, Realization of Basic Compensators, Cascade Compensation in Time Domain(Reshaping the Root Locus), Cascade Compensation in Frequency Domain(Reshaping the Bode Plot), Introduction to Feedback Compensation and Robust Control System Design. Digital Control Systems: Advantages and disadvantages of Digital Control, Representation of Sampled process, The z-transform, The z-transfer Function. Transfer function Models and dynamic response of Sampled-data closed loop Control Systems, The Z and S domain Relationship, Stability Analysis.

MODULE-III

Nonlinear Systems: Introduction, Common Physical Non-linearities, The Phase-plane Method: Basic Concepts, Singular Points, Stability of Nonlinear System, Construction of Phase-trajectories, The Describing Function Method: Basic Concepts, Derivation of Describing Functions, Stability analysis by Describing Function Method, Jump Resonance, Signal Stabilization. Liapunov‟s Stability Analysis: Introduction, Liapunov‟s Stability Criterion, The Direct Method of Liapunov and the Linear System, Methods of Constructing Liapunov Functions for Nonlinear Systems, Popov‟s Criterion.

MODULE-IV

Optimal Control Systems: Introduction, Parameter Optimization: Servomechanisms, Optimal Control Problems: State Variable Approach, The State Regulator Problem, The Infinite-time Regulator Problem, The Output regulator and the Tracking Problems, Parameter Optimization: Regulators, Introduction to Adaptive Control.

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