원문정보
초록
영어
The parameters’ adjustment of Control System is very complicated. Such as, the adjustment of voltage, temperature and liquid level, they have the characteristic of non-linear and mutation. The traditional PID control algorithm has the defect of overstrike and the low accuracy of adjustment, in order to improve the control performance of Control System, we proposed an improved intelligent PID algorithm for Control System parameters’ adjustment. First, we encode the three parameters of PID to a firefly position vector; then, find the optimal PID parameters by simulating the firefly population's food forage and mating behavior; last, adjusted the parameters of PID to intelligent control the Control System. We also using MATLAB toolbox to simulate the proposed algorithm, and give a group of contrast experiments about two control systems, the voltage adjustment and liquid level adjustment. The experiments' results show that contrast to the traditional PID parameters’ optimization algorithm, our improved algorithm can quick adjust the Control System along with less overshoot, the response time is faster and the system is more robust.
목차
1. Introduction
2. The Improved Firefly Algorithm
2.1. The Traditional Firefly Algorithm
2.2. The Improved Firefly Algorithm
3. Optimizing PID Parameters in Control System of Voltage Adjuster
3.1. The Mathematical Model of Voltage Adjuster
3.2. The Coding of Parameters
3.3. The Design of Fitness Degree Function
3.4. The Working Principle of Improved Firefly Algorithm Optimize PID Controller
3.5. The Steps of Improved Firefly Algorithm Optimizing PID Parameters
3.6. Simulation Experiments and Results Analysis
4. Optimizing PID Parameters in Control System of Liquid Level
4.1. Liquid Level Control Mathematical Model
4.2. The Improved PID Algorithm used for Control Liquid Level
4.3. Simulation Experiments and Results Analysi
10. Conclusion
References