Course Descriptions
Core Courses
MSE6113 Analytical and Adaptive Dynamics in Mechatronic Systems
MSE6123 Mechanical Design of Mechatronic Systems/Robots
MSE5133 Modern Control in Mechatronic Systems
MSE6143 Adaptive Control in Mechatronic Systems
MSE6153 Optimization in Mechatronic Systems
MCS5563 Intelligent Control
MSE6173 Mechatronic Systems Implementation - I
MSE6183 Mechatronic Systems Implementation - II
Elective Courses
MCS5503 Intelligent Systems
MCS6513 Advanced Topics in Intelligent Systems
EEE5264 Advanced Microprocessors
EEE 5534 Digital Control Systems
EEE5654 Digital Signal Processing
MSE6213 Stability in Mechatronic Systems
MSE6223 Algorithmic Synthesis of Complex Mechatronic Systems
MSE6233 Special Topics in Mechatronic Systems Engineering
MSE6243 Graduate Directed Study
MSE6253 Thesis - I
MSE6263 Thesis – II
MSE6273 Mechatronic Manufacturing Systems
MSE7283 Robust Mechatronic Systems
EME6623 Automotive Control Systems – I
EME7623 Automotive Control Systems – II
MSE6113 Analytical and Adaptive Dynamics in Mechatronic Systems
Prerequisites: EME4603 or equivalents or approval of program director.
Introduction to mechatronic systems engineering: mechanical, electrical and electronics components. Analytical and adaptive dynamics as the basis for the control algorithm development and a mechatronic system design. Advanced topics in analytical and adaptive dynamics are presented in the course including direct and inverse dynamic problems, stability of mechatronic systems, others.
Lecture: 3 hours.
MSE6123 Mechanical Design of Mechatronic Systems/Robots
Prerequisites: EME4603 or equivalents or approval of program director.
Course presents specifics in mechanical design of mechatronic systems with concentration on robots. Topics include requirements to mechanical systems as components of mechatronic systems and design methods. Position, kinematical and dynamic force analysis of robot manipulators is given for both rigid and non-rigid designs. Vibrations are analyzed and optimized in robot manipulators. Critical design components presented in conjunction with the motion requirements.
Lecture: 2.5 hours. Labs: 0.5 hour.
MSE5133 Modern Control in Mechatronic Systems
Prerequisites: EEE4513 or approval of program director.
The course presents dynamic processes and characteristics of mechatronic system components with emphasis on the structure of feedback control theory and practice. Stability of linear feedback systems is given in details. Robust and digital control systems are also parts of the course.
Lecture: 2 hours. Labs: 1hour.
MSE6143 Adaptive Control in Mechatronic Systems
Prerequisite: MSE5113 Modern Control in Mechatronic Systems and graduate standing.
The course presents an analytical study in adaptive control for advanced applications. Various approaches are considered including gain scheduling controller modeling, model reference control (high-gain scheme), model reference adaptive control (parallel scheme), self-tuning regulators, and direct and indirect control. Linear and non-linear dynamic systems are the course subject.
Lecture: 2.5 hours. Labs: 0.5 hours.
MSE6153 Optimization in Mechatronic Systems
Prerequisite: MSE5113 Modern Control in Mechatronic Systems and graduate standing.
The course gives classical and numerical methods of optimization in depth that is followed by applications of controller optimization. Optimal controlling is presented for single-criterion and multi-criteria systems. Virtual implementation of optimal control is a part of the course.
Lecture 2 hours. Labs: 1 hour.
Prerequisites: MSE5133 Modern Control in Mechatronic Systems.
Artificial intelligent techniques applied to system control of mechatronic systems. Topics covered include: expert systems, fuzzy logic, neural networks, evolutionary computing, and hybrid systems.
Lecture 2 hours. Labs: 1 hour.
MSE6173 Mechatronic Systems Implementation - I
Prerequisite: Graduate standing.
This course integrates the knowledge that students have gained in all other courses and covers the theory and real design of mechatronic systems. All components of mechatronic systems are presented in a way of analytical study. At the end of the course students will be able to design a mechatronic system. This ability they supply with practical work on mechatronic system design.
Lecture: 2 hours. Labs: 1 hour.
MSE6183 Mechatronic Systems Implementation - II
Co-requisite: MSE6173 Mechatronic Systems Implementation - I, and graduate standing.
This lecture, lab, and project-oriented course is an addition to the first course on Mechatronic Systems Implementation. All lectures and laboratories cover major topics from the theory showing real world applications. Project topics are oriented on designing actual mechatronic systems.
Lecture: 2 hours. Labs: 1 hour.
Prerequisite: MCS235
Introduction to artificial intelligence and computational intelligence. Problem solving by searching . Optimization methods. Knowledge representation and reasoning. Machine learning. Multi-agent systems. Pattern recognition. Introduction to artificial neural networks. Fuzzy logic.
Lecture: 3 hrs. 3 hours credit.
MCS6513 Advanced Topics in Intelligent Systems
Prerequisite: MCS5503
Advanced topics in artificial intelligence and computational intelligence. Advanced evolutionary computation. Advanced neural networks. Advanced fuzzy logic systems. Introduction to neuro-fuzzy systems and soft computing. Practical applications of computational intelligence to wireless devices, web programming, robotics and data mining.
Lecture: 3 hrs. 3 hours credit.
EEE5264 Advanced Microprocessors
Prerequisite: Graduate standing, or permission of department chair.
Design and applications microcomputers. Topics include: 16 bit versus 32 bit processor organization, controller design, I/O port interfacing, memory structure, addressing methods, keyboard and display interface, and hardware arithmetic functions. Design and interface considerations for peripheral ad interrupt devices
Lecture: 4 hrs. 4 hours credit.
EEE5534 Digital Control Systems
Prerequisite: Graduate standing, or permission of department chair.
Discrete time mathematics, Z-transforms, sampling rates, zero and first-order hold, time delays, system stability, continuous and discrete time systems, interfacing, computer control implementation concepts, state space realization.
Lecture: 4 hrs. 4 hour credit
EEE5654 Digital Signal Processing
Prerequisite: Graduate standing or permission of department chair
Sampling theory and sampling hardware. Z transform. Architecture of VLSI digital signal processors. Design and implementation of real time polynomial, Fir, IIR, and adaptive filters. Spectral analysis with FFT. Design of DSP application in communication and digital control.
Lecture: 4 hrs. 4 hours credit.
MSE6213 Stability in Mechatronic Systems
Prerequisite: Graduate standing
Theory of stability of mechanical systems is given in depth and in connection with the stability of electrical/electronic components for real world applications in mechatronics.
Lecture: 3 hours.
MSE6223 Algorithmic Synthesis of Complex Mechatronic Systems
Prerequisite: Graduate standing.
Some specific issues in the theory and application of adaptive and optimal control systems are presented in the course: synthesis of control lows, choice of weight coefficients for control quality, quasi-optimal systems. All procedures are given in the form of algorithms.
Lecture: 3 hours.
MSE6233 Special Topics in Mechatronic Systems Engineering
Prerequisite: Consent of MSMSE Program Director.
The course covers a specialized or a new topic in the Mechatronic Systems Engineering field that is not covered by other courses. There should be faculty and student interest.
Lecture: 3 hours.
MSE6243 Graduate Directed Study
Prerequisite: Consent of MSMSE Program Director.
This is an in-depth study of a Mechatronic System Engineering topic with a written report to the course instructor and program director. The proposed study application must be submitted and approved by the program director prior to election of the course.
Lecture:3 hours.
Prerequisite: Graduate standing and approval of the MSMSE Engineering Committee.
First of a two-course sequence required to fulfill the thesis option. Students work in collaboration with a faculty advisor and, optionally, an industrial advisor. Students meet regularly with their advisors. Upon completion of both courses, students write a thesis and make a verbal presentation of their findings. Students also submit a research paper to a research reviewable journal or to a research conference with pee review.
Lecture: 3 hours.
Pre-requisite or co-requisite: EMM6253 Thesis - I, and approval of the MSMSE Engineering Committee.
Second of a two-course sequence required to fulfill the thesis option. Students work in collaboration with a faculty advisor and, optionally, an industrial advisor. Students meet regularly with their advisors. Upon completion of both courses, students write a thesis and make a verbal presentation of their findings. Students also submit a research paper to a research reviewable journal or to a research conference with pee review.
Lecture: 3 hours.
MSE6273 Mechatronic Manufacturing Systems
Prerequisite: Graduate standing
The course presents characteristics and designs of mechatronic manufacturing systems including high volume production systems. Automated flow lines and automated assembly lines are discussed. Technology for programming robots and flexible manufacturing systems is given for various applications based on discrete and adaptive controls.
Lecture: 2.5hours. Labs: 0.5 hours.
MSE7283 Robust Mechatronic Systems
Prerequisite: Graduate standing
The course covers advanced topics in robust control including fundamentals of theory, and also detailed fuzzy logic in control system design. Neurocontrol is presented by artificial neural networks and by adaptive control based on neural network modeling.
EME6623 Automotive Control Systems – I
Concurrent Prerequisite: EME5433
Principles of contemporary analog control systems for automotive vehicle systems, including the fundamentals of analog control using LaPlace Transforms. Analysis and design of analog control systems using modern control systems hardware and software. Topics include open loop and closed loop control, system performance and system design in the time and frequency domains, root locus, and Bode analysis/synthesis. Application of numerical methods, system modeling and simulation, and control software. Hands-on introduction to Matlabâ, Simulinkâ, and dSPACEâ software and hardware. Project based course with example applications to control systems in vehicle dynamics, steering, suspension, engine, transmission, driveline and other vehicle systems. LTU 4WD vehicle chassis dynamometer for vehicle controls is included. This is Course-1 in a (2) course series
Lecture: 2.5 hrs. Lab: 1 hr.
EME7623 Automotive Control Systems – II
Prerequisite: EME6623
Project based course focusing on the development of modern control systems for complex automotive vehicle systems. Emphasis on sampled data and digital control systems. This is Course –2 in a (2) course series culminating in student completion of an independent automotive controls systems project. Brief review of analog control systems, discussion of hardware-in the-loop concepts, and an introduction to sampled data systems and digital controls, including z-transforms. Control system project selection will be in the areas of vehicle dynamics, steering, suspension, engine, transmission, driveline, or any other vehicle system of special interest to the student. Modern simulation, modeling and control system software such as Matlabâ, Simulinkâ, Stateflowâ, dSPACEâ software and hardware used for project implementation. Use of the LTU 4WD vehicle chassis dynamometer for vehicle controls is included.
Lecture: 2 hrs. Lab: 1 hr