Title :
A genetic algorithm optimized SDT for state feedback control
Author :
Arena, P. ; Brunno, F. ; Caponetto, R.
Author_Institution :
Dept. of Electr., Electron. & Syst. Eng., Catania Univ.
Abstract :
The paper presents an approach for the automatic optimal state feedback controller design and its download on an 8-bit microcontroller. Once the system model has been defined, the proposed procedure makes it possible to find the optimal gains of a feedback state controller which are compatible with the integer representation of the microcontroller. A software tool has been developed in order to support the design, implementation and testing phases of the control system
Keywords :
control engineering computing; control system synthesis; genetic algorithms; microcontrollers; optimal control; software tools; state feedback; testing; 8-bit microcontroller; automatic optimal controller; genetic algorithm; integer representation; optimal gains; software development tool; state feedback control; Automatic control; Control systems; Design optimization; Genetic algorithms; Microcontrollers; Optimal control; Software testing; Software tools; State feedback; Vectors;
Conference_Titel :
Power Electronics, Electrical Drives, Automation and Motion, 2006. SPEEDAM 2006. International Symposium on
Conference_Location :
Taormina
Print_ISBN :
1-4244-0193-3
DOI :
10.1109/SPEEDAM.2006.1649864
