Effective Distance Education

 

 

Dr. Luecke began teaching Distance Education Classes in 2000 with his digital controls course.  With 20 years of remote teaching experience, he makes compelling use of Lightboard, sample problem solving,  telecoferencing, and one-on-one discussions to provide the students with a full and rich learning environment.  Below are links to various YouTube videos an the broad subject of Dynamics and Control

Dynamics and Controls Background and Theory

With a wide range of courses taught from programs in Mechanical, Electrical, Aerospace, Mechatronics, Agricultural, and Systems Engineering Programs, these lectures start at a basic level and progress to advanced theory with emphasis on real-world applications and uses.

(Be sure to look at Hands-On Learning opportunities, too!)

 

 

 

1) Mechanical Systems Equations of Motion

2) Introduction to Laplace Transforms

 

 

 

 

 

 

 

 

3) Electric Motor With Gears

    Analysis and Dynamics-Part 1

 

 

 

 

 

 

 

 

4) Electric Motor With Gears

    Analysis and Dynamics-Part 2

 

 

 

 

 

 

 

5) Electric Motor With Gears

    Analysis and Dynamics-Part 3

 

5) Block Diagrams and

     Introduction to Loop Reductions

6) Root-Locus for Fun and Profit!

6) Introduction to Simulink

 

 

7) Closed Loop Control:

     Electric Motor Root Locus

8) Closed Loop Control:

     Lead Control

9) Static Error Constants

10) Open Loop vs Closed Loop

11) Motor Control With Disturbances

 

12) Typical Exam:

       After all this, what was I supposed to learn?

13) Another Exam:

      The 2010 COVID19 Debacle:

      Grade Your Own Exam!

 

 

 

 

Hands-On Laboratory Content

These lectures guide students through DIY laboratory exercises, where they set up the experiment, take their own data, and process the results for comparison with the theoretical predictions.  THese cn be done at home or in small groups.  I'll be adding more documentation about the equipment necessary and specifics of proceedures and analysis, but if you would like to try one, contact me!

 

 

a) Introduction to Mass-Spring-Damper

b) Introduction to Arduino

c) Arduino Control:

    'Lectric Linear Actuator

d) Experimental Fluid Dynamics

e) Inertial Navigation:

     Introduction to IMU Processing

f) Control of the Inverted Pendulum

g) Moving a 2-Link SCARA-Type Robot

 

 

 

 

Experience with Traditional Courses

University of Southern Maine

 

EGN325 -Controls

Laplace transform, transfer function, modeling control systems by block diagrams, transient and steady-state responses of SISO systems in time domain, error analysis, frequency-response analysis using Bode and Nyquist diagrams, root-locus and Routh’s stability methods, analysis and design of control systems using root-locus analysis, operational amplifiers, compensation and design of feedback control systems using lead-lag compensators and PID controllers, state space method for analysis of MIMO systems. Includes experiments and computer simulations for analysis and design of control systems.

 

EGN329 - Electromechanical and Control System Laboratory

Exploration of theory and applications of electromechanical and control systems in the laboratory.

Iowa State University

 

ME 513X - Advanced Control of Robotic Systems – A great new technical course developed by Dr. Luecke!

An introduction to the fundamentals of dynamics and control for a variety of robotic mechanisms.  This course develops control techniques for application to Multi-Input-Multi-Output systems using linear, nonlinear, and adaptive approaches.  Control is developed and implemented for position, velocity, and force commands. Computer simulation is used for dynamic analysis of robotic systems, and for the development and implementation of various control schemes.  Current methods in the literature are examined and analyzed.
 

ME 511 - Advanced Control Design

Application of control design methods using continuous, discrete, and frequency-based models. Approaches include classical, pole assignment, model reference, internal model, and adaptive control methods. Mechanical design projects.

ME 421 – System Dynamics and Control

Modeling and simulation of mechanical, electrical, fluid, and/or thermal systems. Development of equations of motion and dynamic response characteristics in time and frequency domains. Fundamentals of classical control applications, including mathematical analysis and design for closed loop control systems. Introduction to computer interfacing for simulation, data acquisition, and control. Laboratory exercises for hands-on system investigation and control implementation.

 

ME 418 - Mechanical Considerations in Robotics

Three dimensional kinematics, dynamics, and control of robot manipulators, hardware elements and sensors. Laboratory Experiments and demonstrations using industrial robots.

ME 415 – Mechanical Systems Design

Mechanical Engineering Capstone Design course. Team approach to solving design problems involving mechanical systems. Teams will use current design practices they will encounter in industry. Document decisions concerning form and function, material specification, manufacturing methods, safety, cost, and conformance with codes and standards. Solution description includes oral and written reports. Projects often worked with industry sponsors.
 

ME 411 - Automatic Control

Modeling and simulation of mechanical, electrical, fluid, and/or thermal systems. Development of equations of motion and dynamic response characteristics in time and frequency domains. Fundamentals of classical control applications, including mathematical analysis and design for closed loop control systems. Introduction to computer interfacing for simulation, data acquisition, and control. Laboratory exercises for hands-on system investigation and control implementation.

ME 410X - Mechatronic Systems-An exciting new course developed by Dr. Luecke!

The fundamentals of sensor characterization, signal conditioning, and motion control are coupled with the concept of embedded computer control.  Digital and analog components used for interfacing with computer controlled systems.  Mechanical system analysis, combined with various control approaches.  Focus on automation of hydraulic actuation processes.  Laboratory exercises provide hands-on development of mechanical system.

This course provides the basic knowledge required to understand and analyze mechanical systems.  It provides the students with practice in designing systems to accomplish desired objectives.  This course provides open ended design problems that require establishment of reasonable engineering assumptions and realistic constraints.  The laboratory component teaches the students to work effectively in teams on problems that cross content boundaries.

ME 370 – Engineering Measurements

Fundamentals of design, selection, and operation of components of measuring systems. Measurement processes, data acquisition systems, analysis of data, and propagation of measurement uncertainty.

ME 311 - Mechanical Systems

Modeling and simulation of mechanical systems. Development of equations of motion and dynamic response characteristics.  Fundamentals of classical controls applications, including mathematical analysis and design of closed loop control systems.  Introduction to computer interfacing for data acquisition and control. Laboratory exercises for hands-on motion and control implementation.

ME 310 - Kinematics

Four-bar linkages, Vector loop equations, Position, Rate, and Acceleration analysis of Machines.  MATLAB programming.

ME 160 - Mechanical Engineering Problem Solving with Computer Applications Laboratory

Introduction to the field of Mechanical Engineering through problem-solving in a range of topics including statics, mechanics of materials and thermo-fluids. Techniques to professionally present and communicate solutions. Use of MATLAB computer programming to aid problem solving, including curve fitting and graphing.

ENGR 160 - Engineering Problems with Computer Applications Laboratory

University of Bridgeport

MEEG 350D - Machine Design

MEEG 381 - Mechanical Engineering Systems Laboratory

Dr. Luecke is an innovator in coupling a solid background in theoretical dynamics and controls with a hands-on component in the laboratory.  “Theory is fine, but in the real world, each parameter, each block in the diagram, and each signal line has a physical counterpart.  Until you understand each of these the model and control system will not work.”