A Sort of Fuzzy Intelligence Control Strategy for Complex System

Abstract:

For complex controlled object with the large time delay link, it was difficult to get effective control effect by means of traditional fuzzy control algorithm. Aimed at enhancing the control quality in control precision and so on for complex system, the paper proposed a sort of fuzzy intelligence control strategy. It fused the expert control experience combing with human simulated intelligence control, designed the control rule, proposed the mode of running controller and explored the principle of parameter calibrating layer. The system simulation experiment explained that the control effect was much better than optimal PID control in dynamic and steady quality. The results show that the fuzzy intelligent control strategy is reasonable and feasible, high in control precision, better in dynamical and steady control effect, and it represents very strong robustness.

• Periodical: Advanced Materials Research (Volume 187)
• Pages: 169-174
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.187.169
• Online since: February 2011
• Authors: Yu Cheng Liu, Yu Bin Liu
• Keywords: Complex Control System, Expert Control Experience, Fuzzy Intelligent Control Strategy, Human Simulated Intelligent Controller, Optimal PID Control, Simulation

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