A fuzzy logic based PI autotuner

Intelligent Urban Traffic Flow Control: A Case Study on Fuzzy Logic Application

“…Membership functions associated with the output process controller were adjusted to respond to past or future performance of the feedback control system. Bandyopadhyay and Patranabis [10] presented a PI (proportional-integral) algorithm for a self-tuning fuzzy inference engine. The ability to simulate the process of decision making of a human through fuzzy logic was studied by [11].…”

Tuning of an optimal fuzzy PID controller with stochastic algorithms for networked control systems with random time delay

“…Diverse linear and nonlinear plants have been tuned by Mudi and Pal [3,4] and Bhattacharya et al [9] with a fuzzy gain tuning mechanism and implemented along with a two input-one output FLC. Various improvements in conventional PID controllers using a fuzzy inferencing mechanism have been investigated in [10][11][12][13]. Various tuning methods have also been proposed for tuning the fuzzy controller parameters as in [14] and others involving the Genetic Algorithm etc.…”

An improved auto-tuning scheme for PI controllers

“…Soft-computing tools like fuzzy logic and neural networks are being used for designing improved PI controllers with increased robustness [16][17][18][19][20][21]. The overall gain of a simple PItype fuzzy controller [16,17] is continuously adjusted using fuzzy IF-THEN rules defined on the current process states.…”

“…The overall gain of a simple PItype fuzzy controller [16,17] is continuously adjusted using fuzzy IF-THEN rules defined on the current process states. Similar types of fuzzy rules are also used to parameterize a PI controller with a dead-beat format [18]. Lee [19] proposed a PI-type fuzzy controller with resetting action to avoid the large accumulation of controller output, responsible for the excessive oscillation in set-point response.…”