An intelligent self-improving control strategy and its microprocessor-based implementation for application to a hydro-turbine governing system

The intelligent self-improving control strategy, containing a controller with variable structure and parameters, a knowledge base and a detector/identifier, has been developed and implemented on a multiprocessor-based system. A digital emulator was built to test the control strategy. The proposed control strategy has been applied to a hydro-turbine governing system. Test results show that the proposed control strategy realized self-improvement for start-up, no-load and load operation.