On Digital Implementation of Intelligent PID Control Systems

Towards intelligent PID control

Reinforcement Learning Based PID Control of Wind Energy Conversion Systems

In this paper an adaptive PID controller for Wind Energy Conversion Systems (WECS) has been developed. Theadaptation technique applied to this controller is based on Reinforcement Learning (RL) theory. Nonlinearcharacteristics of wind variations as plant input, wind turbine structure and generator operational behaviordemand for high quality adaptive controller to ensure both robust stability an...

MATLAB as Interface for Intelligent Digital Control of Dynamic Systems

Digital control systems have shown to the developers the features and their applications in a wide variety of plants. Tools that help the developer to promote a design methodology that is efficient and at the same time reliable, has gained ground in the market and attributions of control engineers. Tasks such as data acquisition system, control design and system implementation can become arduou...

Implementation of a Paraconsistent-Fuzzy Digital PID Controller in a Level Control Process

In a modern society the factor corresponding to the increase in the level of quality in industrial production demand new techniques of control and machinery automation. In this context, this work presents the implementation of a Paraconsistent-Fuzzy Digital PID controller. The controller is based on the treatment of inconsistencies both in the Paraconsistent Logic and in the Fuzzy Logic. Paraco...

Intelligent Digital Control for Nonlinear Systems with Multirate Sampling

This paper studies an intelligent digital control for nonlinear systems with multirate sampling. It is worth noting that the multirate control design is addressed for a given nonlinear system represented by Takagi–Sugeno (T–S) fuzzy models. The main features of the proposed method are that it is provided that the sufficient conditions for stabilization of the discrete-time T–S fuzzy system deri...