EEI358 Intelligent Electronic Equipment in Robotic Systems

Code EEI358
Name Intelligent Electronic Equipment in Robotic Systems
Status Compulsory/Courses of Limited Choice
Level and type Undergraduate Studies, Academic
Field of study Power and Electrical Engineering
Faculty
Academic staff Ingars Steiks, Pēteris Apse-Apsītis, Valdis Priedols
Credit points 3.0 (4.5 ECTS)
Parts 1
Annotation The study course covers not only control systems of the mobile robot that include fuzzy logic and artificial neurons, but also include practical examples of their design and implementation..
Contents
Content Full- and part-time intramural studies Part time extramural studies
Contact hours Independent work Contact hours Independent work
Introduction into intelligent electronic equipment. Identification of non-linear systems. 2 2 1 3
Modules of fuzzy logic and their design. 2 2 1 3
Fuzzy logic controllers. 2 2 1 3
Artificial neural networks. 2 2 1 3
Identification of control systems of non-linear robots and their control by means of artificial neural networks. 2 2 1 3
Adaptive control of non-linear dynamic systems. 2 2 1 3
Identification of non-linear control systems with local linear neuro-fuzzy modules. 2 2 1 3
Design and calculation of neuro-fuzzy modules. 2 2 1 3
Complex computer intelligence and analytical methods of errors identification. 2 2 1 3
Identification of mobile robot control system localization with the help of navigating programs. 2 2 1 3
Built-in robotic systems. Traditional control methods. 2 2 1 3
Multitask programming and wireless communication models. 2 2 1 3
Modeling systems of mobile robots. 2 2 1 3
Identification of real time processes. Generic algorithms in the robots control systems. 2 2 1 3
Genetic programming and event-based robots control systems. 2 2 1 3
Artificial intelligent in robots control systems. 2 2 1 3
1. Lab. work. Searching for parking place of an autonomous robot using intelligent control systems. 7 7 4 10
2. Lab.work. Investigation of software of autonomous robot motion route identification. 7 7 4 10
3. Lab.work. Investigation of control systems of a walking robot. 7 7 4 10
4. Lab.work. Fuzzy-logic controller of a mobile robot. 7 7 4 10
Total: 60 60 32 88
Goals and objectives
of the course in terms
of competences and skills 		The aim of the study course is to introduce various control systems of mobile robots. Tasks of the study course: to acquaint with mobile robot hardware (which includes sensors, actuators and controllers) and its software, as well as to develop the ability to perform practical tasks with fuzzy logic and artificial neural controllers in a dynamic environment.
Learning outcomes
and assessment 		Is able to understand the essence of fuzzy logic theory and can design fuzzy logic controllers. - Test No.1. Passed an exam.
Is able to understand the essence of artificial neural networks and can apply control systems of artificial neural networks robots. - Test No.2. Passed an exam.
Is able to understand control navigation programs of mobile robots and to apply robots modeling systems. - Test No.3. Passed an exam.
Is able to develop generic algorithms in robot control systems and realize its programming for further realization. - Test No.4. Passed an exam.
Is able to realize autonomous parking for the mobile robot control systems. - Laboratory work No.1.
Is able to realize autonomous path planning for the mobile robot control systems. - Laboratory work No.2.
Is able to realize object identification for the mobile robot control systems. - Laboratory work No.3.
Is able to realize fuzzy-logic controllers for the mobile robot control systems. - Laboratory work No.4.
Evaluation criteria of study results
Test No.1 - 6%
Test No.2 - 6%
Test No.3 - 6%
Test No.4 - 6%
Lab.work 1 - 15%
Lab.work 2 - 15%
Lab.work 3 - 15%
Lab.work 4 - 15%
Exam - 16%
 
Course prerequisites Electronics, electric drive, computer science.
Course planning
Part CP ECTS Hours Tests
Lectures Practical Lab. Test Exam Work
1 3.0 4.5 2.0 0.0 1.0 *
[Extended course information PDF]