Fuzzy self-tuning of PID controllers
Fuzzy Sets and Systems
Realization of PID controls by fuzzy control methods
Fuzzy Sets and Systems - Special issue on modern fuzzy control
PID type fuzzy controller and parameters adaptive method
Fuzzy Sets and Systems
A PI-type controller with self-tuning scaling factors
Fuzzy Sets and Systems
A PID type fuzzy controller with self-tuning scaling factors
Fuzzy Sets and Systems
A new methodology for designing a fuzzy logic controller and PI, PD blending mechanism
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Design of fuzzy PID controllers using modified triangular membership functions
Information Sciences: an International Journal
Design and simulation of self-tuning PID-type fuzzy adaptive control for an expert HVAC system
Expert Systems with Applications: An International Journal
A rule base modification scheme in fuzzy controllers for time-delay systems
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Conventional fuzzy control and its enhancement
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Tuning and analysis of a fuzzy PI controller based on gain and phase margins
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A robust self-tuning scheme for PI- and PD-type fuzzy controllers
IEEE Transactions on Fuzzy Systems
New methodology for analytical and optimal design of fuzzy PID controllers
IEEE Transactions on Fuzzy Systems
Fuzzy controllers: synthesis and equivalences
IEEE Transactions on Fuzzy Systems
Brief Parallel structure and tuning of a fuzzy PID controller
Automatica (Journal of IFAC)
On-line learning of a fuzzy controller for a precise vehicle cruise control system
Expert Systems with Applications: An International Journal
Online tuning of fuzzy PID controllers via rule weighing based on normalized acceleration
Engineering Applications of Artificial Intelligence
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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In this study, a new method is proposed for the adjustment of the fuzzy rule weights of the fuzzy PID controllers in an on-line manner. For this purpose, the transient phase of the unit response of the closed loop system is taken into consideration. The transient phase of the response is assumed to be divided into certain regions which are assigned in accordance with the number of membership functions defined for the error input of the fuzzy logic controller. Then, the relative importance or influence of the fired fuzzy rules of the fuzzy logic controller are determined for each region and the meta-rules are derived for the adjustment of corresponding fuzzy rule weight values to obtain an 'efficient' and 'appropriate' control signal that will achieve a ''desired'' system response. Since the value of system error varies during the transient system response and it is on hand for each region and sampling time, the weight tuning is accomplished using this error value. For this purpose, two simple functions based on the absolute value of the normalized system error are directly used for the assignment of the rule weights by an adequate arrangement in accordance with the meta-rules derived. By these assignments the error value is charged as the tuning variable of the rule weights and thus an on-line self tuning rule weight assignment is accomplished. The effectiveness of the proposed self tuning method is demonstrated on linear and non-linear systems by simulations and a real time application is done on Process Control Simulator.