Robotic Systems Control
Deeper knowledge about control methods for ground and aerial robot systems. Knowledge about application of new technologies like industrial communications, remote control, virtual reality, sensors fusion, artificial intelligence etc.
- design methods for continouos jerk trajectory planning
- design various types of load torque observers
- analyze walking sequences of six-legged robots
- design control algorithm for remote control of robot manipulators
- design control algorithm for remote control of mobile robots
- design mathematical models of UAVs
- design control algorithms for UAVs
Forms of Teaching
Organized in three thematic cycles.Consultations
Theoretical knowledge is applied to real robotic systems. •Seminar: Design of load torque observer for a laboratory robot •Seminar: Remote control of a robot via Internet •Seminar: Control of laboratory aerial vehicles
|Type||Threshold||Percent of Grade||Threshold||Percent of Grade|
|Seminar/Project||50 %||40 %||50 %||40 %|
|Mid Term Exam: Written||50 %||20 %||0 %|
|2. Mid Term Exam: Written||50 %||20 %||0 %|
|Final Exam: Written||50 %||20 %|
|Exam: Written||50 %||60 %|
All seminars are obligatory.
Week by Week Schedule
- Controlled jerk trajectory planning methods (Ho-Cook 445 and 555 methods, modified Yakimenko method).
- Load torque estimator design. Linear estimation methods: dead-beat estimator, standard pole-placement estimator, process inverse function-based estimator.
- Nonlinear estimation methods using neural networks and self-learning fuzzy controllers.
- Walking robots. Six-legged walking robots (hexapod). Definition of hexapod walking sequence as optimization problem. Hexapod walking sequence control by using a cyclic genetic algorithm (GA).
- Demonstration of hexapod walking control system. First midterm exam
- Remote robot control systems (wireless, Internet).
- Creation of operator feeling about presence in the remote workspace. Influence of communication delay on the remote guidance quality.
- Remote control of manipulators (telemanipulation). Compensation of communication delay influence using wave variables. Robot impedance control.
- Remote control of mobile robots (telenavigation). Event based control. Coordinated telemanipulation and telenavigation.
- Second midterm exam
- Mathematical models of aerial vehicles: balloon, helicopter, quadrotor.
- Actuators and sensors of unmanned aerial vehicles (UAV): inertial measurement system.
- Control of UAV.
- Formation control.
- Final exam.