Udemy - Computer Aided Control Systems Design - Control System Toolbox

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[ TutGator.com ] Udemy - Computer Aided Control Systems Design - Control System Toolbox
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 1. Welcome to the course!
    • 1. Motivation to the course.mp4 (41.5 MB)
    • 1. Motivation to the course.srt (5.9 KB)
    2. Control engineering functions Modeling using Control System Toolbox
    • 1. Modeling of linear time-invariant systems as LTI modelsTransfer functions.mp4 (74.5 MB)
    • 1. Modeling of linear time-invariant systems as LTI modelsTransfer functions.srt (7.6 KB)
    • 1.1 Modeling_Exercice_RLC_circuit.pdf (346.6 KB)
    • 1.2 System_transfer_function_stabilty.pdf (234.4 KB)
    • 2. State Space Model of Systems.mp4 (58.7 MB)
    • 2. State Space Model of Systems.srt (6.5 KB)
    • 2.1 mechanical_system_state_model_simulation.m (1.0 KB)
    • 2.2 state_space_machanical_system_solution.pdf (265.1 KB)
    • 3. Converting and Working with LTI–Models.mp4 (64.5 MB)
    • 3. Converting and Working with LTI–Models.srt (6.2 KB)
    • 3.1 conversion_TF_to_SS.pdf (186.0 KB)
    • 3.2 MIMO_system_io-delay.pdf (166.1 KB)
    • 4. Conversion between continuous-time and discrete-time systems.mp4 (30.6 MB)
    • 4. Conversion between continuous-time and discrete-time systems.srt (3.7 KB)
    • 4.1 conversion_CT_to_DT_system.pdf (310.7 KB)
    • 5. MATLAB Control System Toolbox first Section memorization.mp4 (21.5 MB)
    • 5. MATLAB Control System Toolbox first Section memorization.srt (2.2 KB)
    • 5.1 Control_System_Toolbox_practice_test1_solution.pdf (675.2 KB)
    • 5.2 Control_System_Toolbox_practice_test1.pdf (196.0 KB)
    • 5.3 exercice_3_4_5_control_tool_box.m (2.1 KB)
    • 5.4 System_mass_spring_damper.m (1.4 KB)
    3. Analysis of LTI models the behaviour of a system
    • 1. Model dynamics.mp4 (23.4 MB)
    • 1. Model dynamics.srt (3.6 KB)
    • 2. Time Domain Analysis of Linear Systems.mp4 (30.0 MB)
    • 2. Time Domain Analysis of Linear Systems.srt (4.9 KB)
    • 2.1 impulse response of a system_exercice_and_solution.pdf (162.1 KB)
    • 2.2 Step response of a multivariable system_exercice_and_solution.pdf (157.0 KB)
    • 3. Frequency Domain Analysis of Linear Systems 1.mp4 (43.7 MB)
    • 3. Frequency Domain Analysis of Linear Systems 1.srt (6.3 KB)
    • 3.1 Frequency Domain Analysis of Linear Systems1.pdf (381.9 KB)
    • 4. Frequency Domain Analysis of Linear Systems 2.mp4 (34.9 MB)
    • 4. Frequency Domain Analysis of Linear Systems 2.srt (5.6 KB)
    • 5. Interactive model analysis Linear System Analyzer.mp4 (36.3 MB)
    • 5. Interactive model analysis Linear System Analyzer.srt (4.0 KB)
    • 5.1 Exercices_solutions_Linear System Analyzer.pdf (287.6 KB)
    • 5.2 LinearSystemAnalyzer_steps.pdf (339.6 KB)
    4. Controller design using the Control System Designer app
    • 1. Control System Design with Root Locus.mp4 (72.6 MB)
    • 1. Control System Design with Root Locus.srt (10.7 KB)
    • 1.1 Control Design Using Root Locus_exercice_and_solution.pdf (445.5 KB)
    • 1.2 root locus of the discrete system_exercice_and_solution.pdf (221.2 KB)
    • 2. Controller design with the Control System Designer.mp4 (66.8 MB)
    • 2. Controller design with the Control System Designer.srt (6.1 KB)
    5. MOTOR CONTROL SYSTEM CONTROLLER DESIGN Strategies and Simulation
    • 1. The DC shunt machine Investigation of the system properties with Simulink.mp4 (44.1 MB)
    • 1. The DC shunt machine Investigation of the system properties with Simulink.srt (5.0 KB)
    • 2. Interactive investigation of a model with the Simulink Linear Analysis Tool.mp4 (30.8 MB)
    • 2. Interactive investigation of a model with the Simulink Linear Analysis Tool.srt (2.9 KB)
    • 3. PI Current Control of DC Motor by using the Magnitude Optimum.mp4 (85.0 MB)
    • 3. PI Current Control of DC Motor by using the Magnitude Optimum.srt (7.6 KB)
    • 4. PI speed control of a DC motor by using the symmetrical optimum design method.mp4 (57.7 MB)
    • 4. PI speed control of a DC motor by using the symmetrical optimum design method.srt (6.1 KB)
    • 5. State observer_Luenberger observer design.mp4 (84.9 MB)
    • 5. State observer_Luenberger observer design.srt (11.4 KB)
    • 6. State observer_Disturbance observer design.mp4 (48.7 MB)
    • 6. State observer_Disturbance observer design.srt (4.7 KB)
    • 7. Control System Design with State Observers and State Feedback Controller.mp4 (92.0 MB)
    • 7. Control System Design with State Observers and State Feedback Controller.srt (13.3 KB)
    • 8. Integral action in state feedback control.mp4 (32.2 MB)
    • 8. Integral action in state feedback control.srt (4.9 KB)
    • DCM_obs.slx (31.0 KB)
    • DCM_obs_ctrl.slx (32.6 KB)
    • DCM_obs_ctrl_d_i.m (1.2 KB)
    • DCM_obs_ctrl_l_i.m (1.0 KB)
    • DCM_obs_ctrl_o.m (1.7 KB)
    • DCM_obs_i.m (1.5 KB)
    • DCM_obsd_a.m (0.7 KB)
    • DCM_obsd_i.m (2.0 KB)
    • DCM_obsl_a.m (0.7 KB)
    • DCM_osb_ctrl_i.m (1.8 KB)
    • DC_SM_i.m (0.9 KB)
    • DC_cur_ctrl.slx (29.1 KB)
    • DC_cur_ctrl_i.m (0.9 KB)
    • DC_curi_o.m (0.8 KB)
    • DCctrln.slx (33.0 KB)
    • DCctrln_i.m (0.9 KB)
    • DCctrln_o.m (0.9 KB)
    • Exercise System Analysis
      • README.TXT (0.3 KB)
      • slprj sim varcache system_exercice
        • checksumOfCache.mat (0.4 KB)
        • tmwinternal
          • simulink_cache.xml (0.3 KB)
        • varInfo.mat (2.7 KB)
        • sol_system_ini.m (1.2 KB)
        • sol_system_ltiview.slx (24.4 KB)
        • system_exercice.slx (25.8 KB)
        • system_exercice.slxc (5.0 KB)
        • system_ini.m (0.7 KB)
        • Integral_action_in_state_feedback_control_PT2_system.m (2.3 KB)
        • dc_shunt_machine
          • DC_SM.slx (27.8 KB)
          • DC_SM_2_sys.m (0.4 KB)
          • DC_SM_i.m (0.9 KB)
          • DC_SM_o.m (0.2 KB)
          6. Introduction to Robust Control Systems Design

Description

Computer Aided Control Systems Design:Control System Toolbox



https://TutGator.com

Published 06/2022
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.17 GB | Duration: 23 lectures • 3h 1m

Mathworks Control System Toolbox for the Practical Control Design Engineer, Model-Based Design of Control Systems

What you'll learn
At the end of the course, students will be able to analyze and control dynamic systems without the extensive and theoritical control theory by hand calculation
At the end of the course, students will master the Control System Toolbox main functions for design and analysis of Control Systems
At the end of the course, students will be able to design DC machine speed-current cascade control (the basis of field-oriented control of ac machines)
At the end of the course, students will be able to design DC machine sensorless speed control (Luenberger observer,disturbance observer)
At the end of the course, students will be able to design state observer and LQR state controller (modern control theory)
At the end of the course, students will be able to create LQG-optimized state controller with Kalman filter
Control System Toolbox simplifies the complex calculations and methods for the design and analysis of dynamic modern systems

Requirements
Tool: Control System Toolbox included in (MATLAB and Simulink Student Suite or free 30-day trial)
Basic knowledge in Matlab Simulink, C or other programming language
Basic knowledge in Kirchhoff's and Newton's Laws
Basic knowledge in differential Equations, Laplace Transform and high school mathematics: Matrices and vectors
Description
The Mathworks Control System Toolbox, is an important and extremely helpful tool for control engineers and system designer. With its help all steps of the control engineering investigation of a system can be carried out.



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Udemy - Computer Aided Control Systems Design - Control System Toolbox


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Udemy - Computer Aided Control Systems Design - Control System Toolbox


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