The invention discloses an optimization method for a heat-engine
plant thermal on-line
process identification and
control algorithm based on a dual-objective parallel ISLAND-HFC
mixed model genetic programming algorithm. The steps comprise: 1, establishing a hardware platform; 2, the optimization method being completed by executing foreground interface
software and background
software by the hardware platform, the background
software being formed by field test and
data acquisition software,
process identification software, and
PID controller parameter optimization software. The method makes an ISLAND model and a HFC model organically combine together, anti-prematurity convergence property is good, multi-core CPU resources of an industrial control computer are fully used,
multithreading run concurrently, evolution speed is fast, and the method is suitable to solve comprehensive problems. On one hand, dual-objective evolution controls errors between an evolution model and an ideal model, and on the other hand, the structure of an evolution individual is controlled, and finally, optimal individual structure and parameters satisfy requirements. For
process identification, a field process model is accurately matched, and for parameter optimization of a
PID controller, optimal proportion, integral, and differential parameters are obtained.