Identification, Digital Control and Fuzzy Logic Techniques Applied to a Synchronous Generator
In this work, the main experimental tests results obtained in the implementation of a decoupled multivariable digital speed and voltage fuzzy controller for a reduced scale electrical power generator system are presented. The electrical electrical power system under study is is l composed by a 10kVA synchronous machine driving by a 9kW DC motor. The proposed controller was implemented in a microcomputer equipped with a data acquisition board. There are two control loops which work simultaneously, in real time: the speed regulation control and the stator voltage regulator control. Each control loop was designed using fuzzy as well as linear control techniques. The plant models were obtained from identification tests, using a leas least-square non-recursive procedure. The Fuzzy Controller uses proportional, differential and integral informations of the speed and voltage signals in order to synthesize the control signals, using a set of fuzzy rules organized as a Table-Lookup scheme. Several tests on the laboratory power system show the good performance of the proposed advanced controller.
digital control fuzzy control power system control techniques power system identification multivariable systems