The department’s research activities encompass several broad areas, reflecting the multi-disciplinary nature of the control and mechatronics field. These include:
• Smart sensors and actuators
• Process tomography
• Intelligent machines
• Advanced and intelligent control algorithms
• Process control and its advancements
• Real-time control system
• Robot design and intelligent robot controllers
• Modeling and control of mechatronic systems
• Industrial automations
• Nanotechnology-based mechatronics and robotics
مدیر وبلاگ :
Courses of at least 90 credits at first cycle including the following knowledge/courses. Basic knowledge in the subject of Automatic control. Concepts such as transfer function, Bode plot, poles and zeros, impulse response and step response, feedback and PID controllers should be known. Sound knowledge on the Laplace transform and experience with Matlab is also presumed. These prerequisites correspond to the course R0002E or R0003E. Alternative: Alternative to completed courses can be corresponding knowledge acquired through work within the processindustry or electronics sector.
The course aim is for students to acquire in-depth knowledge of feedback systems, their design and their use in control engineering applications.
Automatic Control is the Science of controlling processes. A typical example of is the cruise control in a car. In this case the car is the \"process\" and the cruise controller varies the throttle lever (\"input signal\") in order to maintain constant speed (\"output signal\") despite slopes and wind gusts (\"disturbance\"). Other common examples can be found in the process industry, where common tasks are to control pressure and temperature, and in communication where it is desirable to control data rates and transmitted power. Control theory is, however, not limited to technical systems but may also be applied in e.g. economy and medicine. Automatic control is generally used for maintaining quality while minimizing consumption of resources such as energy or raw material. This is our standard course in Automatic Control and covers the most common classical methods for analysis and design of feedback control systems for a broad spectrum of technical processes. The course provides detailed knowledge on the subject, sufficient for non-specialists, and gives a broad and necessary base for further studies in the subject. The course is started with a solid treatment of some basic control theoretic concepts, some known from previous courses. Examples are e.g. poles and zeros, stability, and Bode diagrams. Gradually, new concepts and tools will be introduced, such as the Nyquist criterion for stability analysis, state feedback, and control of sampled systems. To confirm the theoretical knowledge obtain during the course, lab work is performed, e.g. on a model of an overhead crane that is set up on the campus. The task here is to design a controller in order to move a cargo, suspended in a wire, from one point to another without oscillation.
The teaching consists of lectures, problem seminars, and laboratory work. The labs are constituted by simulation exercises and controlling a real-world process, the overhead crane model in the foyer of the A-building
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