Fuzzy Self-tuning PI Controller Research Articles

Study on improved Ip-iq APF control algorithm and its application in micro grid

In order to enhance the tracking velocity and accuracy of harmonic detection by ip-iq algorithm, a novel ip-iq control algorithm based on the Instantaneous reactive power theory is presented, the improved algorithm adds the lead correction link to adjust the zero point of the detection system, the Fuzzy Self-Tuning Adaptive PI control is introduced to dynamically adjust the DC-link Voltage, which meets the requirement of the harmonic compensation of the micro grid. Simulation and experimental results verify the proposed method is feasible and effective in micro grid.

Photovoltaic Grid-Connected Micro-Inverter Based on Self-Tuning Fuzzy-PI Controller

This paper introduces a kind of grid-connected micro-inverter system. Photovoltaic micro-inverter system is a highly nonlinear and time-varying system. Compared to traditional linear control strategy, Fuzzy Controller has better robustness and stability in the changing or non-linear application. Matlab simulation model for current tracking PV Grid-connected Micro-inverter was completed based on the Fuzzy self-tuning PI controller and the control strategy was tested on the micro-inverter prototype. The resu1ts show that this control strategy can effectively reduce the tracking error of the net current, and improve the system’s dynamic response.

Fuzzy Self-Tuning PI Control for the Upper Limb Rehabilitation Robot

It is well known that the robot powered by pneumatic muscle actuator (PMA) which with highly nonlinear, time lag and time-varying characteristics is not easy to control. In this paper, we presented a hybrid fuzzy and PI controller for the upper-limb rehabilitation robot which was designed and built in our lab to assist patients post-stroke in the rehabilitation. The experimental results showed that controller can improve dynamic and static performance of the device, then it can control robot effectively to aid patients carrying on the systematized recovery training.

Experimental Study of Fuzzy PI Controller of HEV DC/DC Converter

This paper aims to improve the control performance of series HEV, and mainly conducts the study of the basic components of the control systems bidirectional DC/DC converter and motor drive circuit--the buck chopper and boost chopper. Also, this paper constructs a hardware platform and designs the fuzzy self-tuning PI controller. Through the comparative experiments of PI control and fuzzy PI control, it has been verified that the fuzzy PI controller has better control effect.

Design of Fuzzy Self-Tunning Controller for Permanent Magnet Synchronous Motor

Permanent magnet synchronous motors(PMSM) as a representative of high efficiency motor was being used widely in the area of medium and small-sized power, high-accuracy,high reliability and wide-scope speed governing servo system.Otherwise,because traditional PI controller can not satisfy the high-performance of PMSM servo system,Fuzzy self-tuning PI(Fuzzy-PI) control method was used in this system, and proportion and integral parameter of PI controller is optimized by fuzzy logic.By simulation experiment, it was proved that Fuzzy-PI method had more steady and less q-axis current pulse to PI control in the transition procedure of PMSM governing.

AC Motor Speed Control Double Close Loop Cascade Fuzzy PI Controller Design

Cascade Speed Regulation System has the nonlinear characteristics and whose structure parameters are variable easily. Fuzzy control theory which based on conventional Cascade Speed Regulation System is introduced into such system. An asynchronous motor model is built, and a fuzzy parameter self-tuning controller is designed in this paper, the controller is simulated in Matlab, The simulation result shows the difference between the conventional PI controller and the fuzzy parameter self-tuning PI controller. From these simulation results, all performance indexes of the fuzzy PI controller with parameters self-tuning are vastly superior to those of the conventional PI controller.

Fuzzy self-tuning PI control of pH in fermentation

Controlling the pH value of small-scale laboratory fermentation processes with a conventional PI controller is difficult. This is due to the highly non-linear response of the pH to the addition of acid or base, the time-varying behaviour of the microorganism, various reactor volumes, and the buffer capacity of the system. It is also very difficult for a biochemist without a control engineering background to adjust the PI parameters of the controller when a fermentation process is changed. This article describes the development and implementation of a fuzzy self-tuning PI controller for a low-cost laboratory pH control system with digital peristaltic pumps. The controller was designed to have a wide range of applications in batch, fed-batch and continuous processes in a laboratory reactor of a working volume ranging from 2 to 15 l. The essential idea is to tune the controller gains on-line by means of a parameter that results from a fuzzy inference mechanism. The tuning of the controller gains is based on the response of the pH system. The controller was first tested in simulations and then experimentally on 2- and 7-l reactors. This experimental validation confirmed that the pH controller is capable of controlling the pH value of a fermentation process within the required range of ±0.05 pH units. The self-tuning capability makes the controller robust with respect to the varying buffer capacity and the working volume of the fermenter.

A fuzzy self-tuning PI controller for HVDC links

This paper introduces a fuzzy logic-based tuning of the controller parameters for the rectifier side current regulator and inverter side gamma controller in a high voltage direct current (HVDC) power system. A typical point-to-point system has been taken with the detailed representation of converters, transmission links transformers and filters. The current error (and its derivative) and the gamma error (and its derivative) are used as the principal signals to adjust the proportional and integral gains of the rectifier pole controller and the inverter gamma controller, respectively, for optimum HVDC power system performance under various normal and abnormal conditions. Finally, a comparative study has been performed with and without tuning, to prove the superiority of the proposed control scheme.

Fuzzy self-tuning PI control of PM synchronous motor drives

Fuzzy self-tuning PI control of PM synchronous motor drives

Fuzzy self-tuning PI controller for bioreactors

A fuzzy self-tuned PI controller for regulation of a nonlinear bioreactor is presented. The basic idea is to parameterize Ziegler-Nichols like tuning formula by two parameters α and β and then to use an on-line fuzzy inference mechanism to tune the PI controller parameters kc and τI. The fuzzy self-tuning method takes the process output error as input and the tuning parameters α and β as outputs. Simulation studies on the nonlinear bioreactor model equations show that the present method is superior to that of fixed parameters conventional PI controller (based on transfer function) for both servo and regulatory problems. The present fuzzy logic controller is robust to process parameters uncertainties and to changes in magnitude and direction of the disturbances.

Fuzzy self-tuning PI controller for bioreactors

Fuzzy self-tuning PI controller for bioreactors