Design Of Fuzzy PI Controller Research Articles

Design of Fuzzy Controller for Lithium Battery Formation LLC Converter Based on Sparrow Search Algorithm Optimization

This paper provides a novel fuzzy PI controller design for LLC resonant converters that make use of the sparrow search algorithm optimization. The LLC resonant converter is a complex nonlinear and time-varying system. As the trend in lithium battery energy conversion systems shifts toward high-power applications, they frequently encounter wide load variations. When employing traditional linear PI controllers of LLC resonant converters, the transient response is slow and fails to adapt effectively to the requirements of wide load changes. In this proposed approach, fuzzy control and PI control are combined to enhance the controller’s flexibility and transient response characteristics. The PI controller parameters are continuously adjusted online, incorporating fuzzy control outputs to improve the controller’s performance. Furthermore, the sparrow search algorithm is applied to optimize the proportional and quantization factors, minimizing the impact of improper parameter selection on the performance of the fuzzy PI controller. This method successfully addresses the challenges posed by the LLC resonant converter, improving adaptability and transient response characteristics in varying load conditions by combining fuzzy control and PI control, online parameter modification, and utilizing the sparrow search algorithm to optimize proportional and quantization factors.

Design of Fuzzy PI Controller for Voltage Regulation in DC Micro-Grid

Efficiency, standard and security of a micro-grid can be tested by measuring the voltage regulation in the DC bus. Photovoltaic micro-grid are prone to time invariant and non-linearity due to variation in solar irradiance. Energy storage device is incorporated to overcome such variations. Traditionally using PI controllers, we can control the charging and dis-charging of battery which only regulates voltage in the bus but it fails to control the fluctuations in the DC bus. Therefore, Fuzzy PI controller is proposed in this paper where it employs the intelligent controlling method thereby reducing the fluctuations in the DC bus. Keywords—Fuzzy, PI, Fuzzy-PI, DC-micro-grid, closed loop control, voltage regulation.

Fuzzy Logic을 이용한 마이크로그리드의 독립운전 제어

This paper presents the design of Fuzzy PI controller that is used at BESS(Battery Energy Storage System) charging and discharging process for islanded operation in microgrid. Most of the PI controllers have fixed PI gains, but real-time updated gains are applied to PI controller using Fuzzy logic in this paper. The performances of suggested Fuzzy PI controller are simulated by PSCAD/EMTDC. As a result, output characteristics of ESS applied real-time updated gains to PI controller are faster than those of using fixed gains.

Development of Advanced Hardware and Software for Proton Exchange Membrane Fuel Cell Test Systems

AbtractA fuel cell test system that is powered by proton exchange membrane fuel cells (PEMFCs) has been developed. It consists of two parts: hardware units and software programs. The hardware units contain a PEMFC stack, water-cooling components, air-cooling, hydrogen humidifying and filtering, temperature and pressure monitoring, and voltage and current measuring of the stack. The software programs, developed according to the features of the PEMFC stack, are used to control the whole process. The software programs are composed of the control interface of the PEMFC test system and controllers, such as the basic measurements and control tools, proportionalintegral-derivative (PID) controller, fuzzy logic controller, and other advanced controllers. The system can supply 500 W of DC 20 V / 30 A power continuously by using hydrogen. This paper describes a high-efficiency development method, and PID and fuzzy-PI controller design, which are suitable for various applications in experiment and study of PEMFC engineering. The test system has a good human-machine interface. It is easy to operate and control all kinds of parameters and variables, and clearly shows the charts and graphs. By using this test system, a lot of research projects can be conducted in the field of PEMFC in the future.

Multiobjective evolution based fuzzy PI controller design for nonlinear systems

This work proposes a gain scheduling adaptive control scheme based on fuzzy systems, neural networks and genetic algorithms for nonlinear plants. A fuzzy PI controller is developed, which is a discrete time version of a conventional one. Its data base as well as the constant PI control gains are optimally designed by using a genetic algorithm for simultaneously satisfying the following specifications: overshoot and settling time minimizations and output response smoothing. A neural gain scheduler is designed, by the backpropagation algorithm, to tune the optimal parameters of the fuzzy PI controller at some operating points. Simulation results are shown to demonstrate the efficiency of the proposed structure for a DC servomotor adaptive speed control system used as an actuator of robotic manipulators.