The Main Steam Temperature Cascade PID Controller Parameters Tuning Optimization Based on Ant Colony Algorithm

Abstract:

The main steam temperature of the boiler adopted usually a cascade PID control. Traditional PID parameter engineering tuning method has a very high demand for the control personnel. And the control loop of inner and outer ring interacted. Adjusting wasted the time and labor, and the control effects were difficult to achieve the optimal. Adopting the ant colony algorithm can optimize Cascade PID controller parameters. A combination of multiple parameters was the ant colony's foraging path, and the moment integral of absolute error was the optimization objective function, through the simulation for an ant foraging process, the optimal combination of parameters was identified. The simulation results showed that the main steam temperature cascade PID controller based on ant colony algorithm has good control effect.

• Periodical: Applied Mechanics and Materials (Volumes 239-240)
• Pages: 1442-1447
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.239-240.1442
• Online since: December 2012
• Authors: Ji Ming Hu, Qing Shan Ji
• Keywords: Ant Colony Algorithm (ACA), Cascade Control, Main Steam Temperature, PID Parameter Tuning

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