Study on Intelligent Self-Adaptive Control System

Abstract:

With the rapid development of China's industry, the use of the control system has become more and more extensive. However, with the complicating of the production system, the traditional control system has been unable to meet the needs of the current industry. Effectively bring the genetic algorithm of the neural network into the control system can solve this problem. Here, it firstly describes the neural network, genetic algorithm principle, operation procedures and the characteristics; secondly, analyzes the principle and lack of conventional PID controller; finally, effectively combines genetic algorithm and controller together, forming a closed loop, strengthening the control of parameters, and giving a code description of the genetic algorithm. This paper plays a certain positive role for industrial engineers and programmers.

• Periodical: Applied Mechanics and Materials (Volume 539)
• Pages: 620-624
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.539.620
• Online since: July 2014
• Authors: Ze Min Liu*
• Keywords: Genetic Algorithm (GA), Neural Network (NN), Self-Adaptive Control

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