Distributed Genetic-Algorithm-Based Extended Logic Control for Main Steam Pressure Process

摘要

Based on the idea of Basic Logic Control (BLC), Fuzzy Control (FC) and panboolean algebra theory, Extended Logic Control (ELC) strategy was put forward. It is different from FC, the determination of membership function and fuzzification are avoided in ELC. Aiming at the ELC design, a Distributed Parallel Genetic Algorithm (DPGA) frame was presented, which is suitable for complex optimization problem. Parallel distributed computation is used, and some ideas such as migration and main control unit re-allotting is introduced. DPGA has the merit of several kinds of advanced GA, such as adaptive GA, chaotic GA, fuzzy GA, immune GA and simulated annealing GA, etc., which makes the DPGA has global optimization ability. Simulation study for a main steam pressure system in a power generation unit was done. The results show that good control performance is obtained with ELC optimized by DPGA.