A Summary of PID Control Algorithms Based on AI-Enabled Embedded Systems

Proportional-integral-derivative (PID) controllers are extensively used in engineering practices for their simple structures, robustness to model errors, and easy operations. At present, there is a great variety of PID controllers. Companies have developed intelligent regulators with functions automatically tuning parameters. For present controllers, strategies such as intelligence, self-adaptation, self-correction extended transmission PID. corresponding improved ones utilized 90% industrial control processes. In this paper, algorithms summarized. This paper focuses on advanced control, predictive adaptive fuzzy neural network expert based genetic algorithms, ant colony algorithms. Besides, these kinds compared, prospects forecast at the end paper.