This paper presents genetic algorithms (GAs) to perform the optimal design of an auto-tuning fuzzy proportional-integral-derivative (PID) controller and to determine the minimal number of fuzzy rules simultaneously. Different from PID controllers with fixed gains, the fuzzy PID controller is expressed in terms of fuzzy rules, in which the input variables are the error signals and their derivati...

In order to improve the response performance of a proportion integration differentiation (PID) controller for magnetorheological fluids (MRF) brake and to reduce the braking fluctuation rate, an improved fruit fly optimization algorithm for PID controller parameters tuning of MRF brake is proposed. A data acquisition system for MRF brake is designed and the transfer function of MRF brake is ide...

PIDs and cancer: an evolving story ---------------------------------------------------------------------------------------------------------------Luigi D. Notarangelo HARVARD MEDICAL SCHOOL Analysis of overall and site-specific cancer risk in patients with primary immunodeficiency diseases (PIDs) may shed light on the role played by the immune system in controlling malignancies. The association...

Political scientists have long disagreed about the nature of individual-level change in party identification (PID). While some scholars conclude that PID is a stable identity—attributing changes in individual responses to measurement error—others show that aggregate PID responds systematically to short-term forces such as presidential approval. In this article, we use a unique long-term panel m...

In considering nonlinearity and uncertainty in the large erecting system, a fuzzy adaptive PID controller is introduced to improve the control performance. The mathematic model is constructed at first based on the physical laws. Then, the fuzzy logic algorithm which can regulate PID parameters on-line is designed and fuzzy inference rules are established between the PID parameters and the error...

In this paper we have designed a DC motor whose speed can be controlled using PID controller. The proportional, integral and derivate (KP, KI, KD) gains of the PID controller are adjusted according to FUZZY LOGIC. First, the fuzzy logic controller is designed according to fuzzy rules so that the systems are fundamentally robust. There are 25 fuzzy rules for self-tuning of each parameter of PID ...

In this paper, a novel method for designing PID controller is proposed. It uses Iterative Learning Control (ILC) for producing an optimum control signal for the plant and then by using a regression method (Least Squared Error), adjusts PID coefficients so that it acts like the ILC. Then PID is implemented on the plant. This method is simulated on automatic voltage regulating system and results ...

In this paper a new design method of a self-tuning PID controller is proposed. The PID controller is designed based on generalized predictive control (GPC) including a future reference trajectory. The PID controller given in this paper is based on GPC and, is I-PD type controller. It is shown that the design parameter adjusting the future reference trajectory changes only the integral time of t...

This paper considers the stabilization of a synchronous machine connected to an infinite bus via a PID. The PID parameters are tuned using hybrid Particle Swarm-Bacteria Foraging Optimization (PSO-BFA). Simulation results are introduced with and without the proposed controller. Also, a comparison study is introduced when using classical PID, only bacteria foraging optimization and when using hy...