원문정보
초록
영어
This article will mainly introduce the effective access to get the value of PID parameter, and the method of tuning PID parameters is studied from two aspects. To ensure the PID parameter value of the whole set is optimal, the controlled object must be given and the value of intelligent optimization algorithm also must be optimal. Then to compare and test the parameters, we can use the method of simulation and experiment. Research deep traditional Z-N method and PID structure control model, and preliminary parameter values of PID can be acquired by it. After that, an intelligent fusion optimization algorithm based on intelligent computation and simulation analysis is constructed, finally, we can use this method to tuning PID parameters’ value effectively.
목차
1. Introduction
2. Standard Particle Swarm Optimization Algorithm
3. Improved Particle Swarm Optimization Algorithm
3.1. Algorithm Principle
3.2. Algorithm Steps
3.3. Function Test
4. Improved Particle Swarm Algorithm for PID Parameter Tuning
4.1. Tuning Method of PID Controller Parameters
4.2. Method of PID Parameter Tuning Based on PSO Algorithm
4.3. Simulation Experiments and Results Analysis
4.4. Application of Improved Temperature Control Algorithm in Beer Fermentation Process
5. Conclusion
References