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Control Systems Design (2)

What Will Learn?

  • Course Aims
    Course Aims This course aims to: • Help the students to understand the hybrid control systems as applied on the hierarchical motion control and the DCS. • Understand the basic principles of state space and discrete time and event control systems. • Understand the coupling between logic-based components and continuous physical systems • Modeling, analysis, and design of systems that combine continuous dynamics with discrete logic • Presenting a modeling framework for hybrid systems that combines elements from automata theory and differential equations. • Present an overview of simulation tools for hybrid systems. For example, Simulink/Stateflow (MATLAB), Statechart (Labview).
  • Course Goals
  • Quality Education
  • Industry, Innovation and Infrastructure

Requirements

MCT311s

Description

  • English Description

    Review on automatic control fundamentals, review on poles and zeros in the S-Plane, 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, digital control systems design and analysis: PID digital controllers, pole placement, …etc. Design, modeling, and control of discrete event systems using finite state machine and automata. Examples and case studies on hybrid control systems: modelling and control. There will be mini-projects and labs in the course activities.
  • Arabic Description

    Review on automatic control fundamentals, review on poles and zeros in the S-Plane, 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, digital control systems design and analysis: PID digital controllers, pole placement, …etc. Design, modeling, and control of discrete event systems using finite state machine and automata. Examples and case studies on hybrid control systems: modelling and control. There will be mini-projects and labs in the course activities.
  • Department
    Mechatronics Engineering
  • Credit Hours
    3
  • Grades
    Total ( 100 ) = Midterm (25) + tr.Student Activities (25 = tr.Industry 0% , tr.Project 15% , tr.Self_learning 5% , tr.Seminar 5% ) + tr.Oral/Practical (10) + Exam Grade (40)
  • Hours
    Lecture Hours: 3, Tutorial Hours: 0, Lab Hours: 1
  • Required SWL
    75
  • Equivalent ECTS
    3
  • 1. S. Engell, G. Frehse, and E. Schnieder (Eds.): Modelling, Analysis, and Design of Hybrid Systems, © Springer-Verlag Berlin Heidelberg 2008. (available on ekb)
  • 2. René David and Hassane Alla : Discrete, Continuous, and Hybrid Petri Nets, Springer-Verlag Berlin Heidelberg 2010. (available on ekb)
  • 3. William S. Levine, The Control Systems Handbook: Control System Advanced Methods, CRC Press, Second Edition, 2018. - S. Engell, G. Frehse, and E. Schnieder (Eds.): Modelling, Analysis, and Design of Hybrid Systems, © Springer-Verlag Berlin Heidelberg 2008. (available on ekb).