Journal ArticleDOI
Incremental fuzzy expert PID control
TLDR
An approach to intelligent PID (proportional integral derivative) control of industrial systems which is based on the application of fuzzy logic is presented, and it is possible to determine small changes on these values during the system operation, and these lead to improved performance of the transient and steady behavior of the closed-loop system.Abstract:
An approach to intelligent PID (proportional integral derivative) control of industrial systems which is based on the application of fuzzy logic is presented. This approach assumes that one has available nominal controller parameter settings through some classical tuning technique (Ziegler-Nichols, Kalman, etc.). By using an appropriate fuzzy matrix (similar to Macvicar-Whelan matrix), it is possible to determine small changes on these values during the system operation, and these lead to improved performance of the transient and steady behavior of the closed-loop system. This is achieved at the expense of some small extra computational effort, which can be very easily undertaken by a microprocessor. Several experimental results illustrate the improvements achieved. >read more
Citations
More filters
Journal ArticleDOI
Tuning of PID controllers with fuzzy logic
TL;DR: A comparison between different methods, based on fuzzy logic, for the tuning of PID controllers shows the superiority of the fuzzy set-point weighting methodology over the other methods.
Journal ArticleDOI
A review of PID control, tuning methods and applications
TL;DR: This paper attempts to address the literature review of PID control in an era of control system and bio-medical applications by surveying the development of classical PID to the integration of intelligent control to it.
Journal ArticleDOI
Design of a hybrid fuzzy logic proportional plus conventional integral-derivative controller
TL;DR: Numerical simulation results demonstrate the effectiveness of the fuzzy P+ID controller in comparison with the conventional PID controller, especially when the controlled object operates under uncertainty or in the presence of a disturbance.
Journal ArticleDOI
Fuzzy logic based set-point weight tuning of PID controllers
TL;DR: A methodology, based on fuzzy logic, for the tuning of proportional-integral-derivative (PID) controllers is presented and is shown to be effective for a large range of processes and valuable for industrial settings since it is intuitive, it requires only a small extra computational effort, and it is robust with regard to parameter variations.
References
More filters
Journal ArticleDOI
Outline of a New Approach to the Analysis of Complex Systems and Decision Processes
TL;DR: By relying on the use of linguistic variables and fuzzy algorithms, the approach provides an approximate and yet effective means of describing the behavior of systems which are too complex or too ill-defined to admit of precise mathematical analysis.
Journal ArticleDOI
An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller
E.H. Mamdani,S. Assilian +1 more
TL;DR: Fuzzy logic is used to convert heuristic control rules stated by a human operator into an automatic control strategy, and the control strategy set up linguistically proved to be far better than expected in its own right.
Book
Digital control of dynamic systems
TL;DR: This well-respected, market-leading text discusses the use of digital computers in the real-time control of dynamic systems and thoroughly integrates MATLAB statements and problems to offer readers a complete design picture.
Journal ArticleDOI
Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis
TL;DR: In this article, a fuzzy logic is used to synthesize linguistic control protocol of a skilled operator for industrial plants, which has been applied to pilot scale plants as well as in practical situations.
Journal ArticleDOI
Paper: A linguistic self-organizing process controller
T. J. Procyk,E. H. Mamdani +1 more
TL;DR: A heuristic controller for dynamic processes is presented in this paper whose control policy is able to develop and improve automatically and find an application in those complex systems which have been too difficult to control or which in the past have had to rely on the experience of a human operator.