What Will Learn?

• Course Aims

  Course Aims This course aims to: • Help the students to understand the modern control systems. • Modeling, analysis, and design of dynamic systems using state space representations • Deep knowledge for the digital control signals and systems and z transform. • Understand the basic principles of PID, state-space and digital control systems. • Present an overview of simulation and control systems tools for control systems

Requirements

MCT211

Description

• English Description
  
  Review on automatic control fundamentals, review on poles and zeros in the S-Plane, PID controller design and tuning techniques, design controllers using root locus, state space modelling: basics and Canonical forms (controllable and observable canonical forms), conversion from state space to transfer function and transfer function to state space, stability in state space form, state feedback controller design pole placement, observers, and observer design. Digital control and discrete systems: Introduction, digitization, analysis of discrete systems, Z-transform, pulse transfer function, stability in Z-domain, fundamentals of digital control systems design.
• Arabic Description
  
  Review on automatic control fundamentals, review on poles and zeros in the S-Plane, PID controller design and tuning techniques, design controllers using root locus, state space modelling: basics and Canonical forms (controllable and observable canonical forms), conversion from state space to transfer function and transfer function to state space, stability in state space form, state feedback controller design pole placement, observers, and observer design. Digital control and discrete systems: Introduction, digitization, analysis of discrete systems, Z-transform, pulse transfer function, stability in Z-domain, fundamentals of digital control systems design.