원문정보
초록
영어
Parameter tuning is the puzzle in control engineering. Aimed at being difficult to make artificially the tuning which results in too many control parameters of intelligent controller, the paper presented a sort of optimization method of control parameters based on immunological principle. In the paper, it made the anatomy of the complexity and existing puzzles of control parameter tuning, presented the mathematical model of controller parameter tuning based on immune principle, gave the optimizing control algorithm of Clone selection. Taking a two-order process with time lag as an example, the control parameters of HSIC algorithm have been optimized by presented tuning model, made the comparative study with PID algorithm parameter optimized by other method, and the process simulation response demonstrated that the optimization tuning method based on immune principle could obtain the control performance and control quality better. Experimental study of simulation shows that it is reasonable and effective to the optimization method of control parameters presented in this paper.
목차
1. Introduction
2. Optimization Tuning Model of Controller Parameter
2.1. Definition of Basic Concepts
2.2. Clone Selection Algorithm
2.3. Mutation
3. Parameters Tuning of Controller
3.1. Objective Function
3.2. Controller Parameters
4. Simulation Experiment and Its Analysis
4.1. Simulation Experiment
4.2. Experiment Analysis
5. Conclusions
Acknowledgements
References