Fuzzy Logic Based PI Controller Research Articles

An Optimal Fuzzy Logic-based PI Controller for the Speed Control of an Induction Motor using the V/F Method

The Induction Motor (IM) is popular because of its low price, higher efficiency, and low maintenance cost. A comparative analysis of IM speed controllers using Voltage/Frequency (V/F) control or Scalar Control (SC) is presented in this paper. SC is commonly used due to its ease of implementation, simplicity, and low cost. To decrease the difficulty and cost of hardware implementation, this paper proposes an optimal Fuzzy Proportional Integral (Fuzzy-PI) controller. Firstly, the speed of IM using the V/F control technique is discussed. Then, speed control of IM using a conventional PI controller is performed. Finally, a simplified-rules Fuzzy-PI controller is developed in MATLAB/SIMULINK and its performance is compared with that of open-loop SC and the traditional PI controller. The performance of the simplified-rules Fuzzy-PI controller is superior to that of an open-loop constant V/F control and a conventional PI controller.

Load frequency control of an asynchronous restructured power system: a fuzzy logic approach

This paper presents the analysis of load frequency control (LFC) of a two-area restructured power system interconnected via parallel ac/dc transmission links. Simulation results show that the limitations of PI controller can be overcome by including Fuzzy logic concept and thereby the dynamic performance can be improved substantially following a load change in any area. The dynamic responses for small perturbation have been observed with PI controller and fuzzy logic based PI controller and result of both have been compared.Keywords: Asynchronous tie-lines; Restructured power system; HVDC transmission links; Load frequency control; Fuzzy Logic based PI controller

Robust Frequency Control in an Autonomous Microgrid: A Two-Stage Adaptive Fuzzy Approach

Highly intermittent power from renewable energy sources (RES) along with load and system perturbations in an autonomous microgrid (MG), results in large frequency fluctuations. Conventional controllers like PI controllers to be unable to provide acceptable performance over a wide range of operating conditions. To overcome this problem, present paper introduces a novel two-stage adaptive fuzzy logic based PI controller for frequency control of MG. In this proposed controller, particle swarm optimization (PSO) and grey wolf optimization (GWO) are used to optimize the membership functions (MFs) and rule base of fuzzy logic based PI controller. The proposed controller is examined on an MG test system, the robustness and performance of the proposed controller is tested in presence of different disturbance scenarios and parametric uncertainties. Finally, the superiority of the proposed controller is shown by comparing the results with various controllers available in literature like PSO tuned fuzzy logic based PI controller, fuzzy logic-based PI controller and also with the conventional PI controller.

Fuzzy logic-based PI controller design and implementation of shape memory alloy actuator

Fuzzy logic-based PI controller design and implementation of shape memory alloy actuator

Fuzzy logic-based PI controller design and implementation of shape memory alloy actuator

In this paper, a new implementation method is proposed for shape memory alloy (SMA) model which is used to design and control SMA-based linear actuator. This implementation method is based on strai...

Transient Stability Analysis in Wind Diesel Hybrid System with Fuzzy-PI Based FACTS Controllers

The paper presents a comparison study of Transient Stability and Reactive Power Compensation Issues in a Wind Diesel Hybrid System with different FACTS Controllers .A Small signal model of the Hybrid System is taken with the use of Fuzzy Logic based PI Controller to compensate the Reactive power generated in an Isolated Wind Diesel hybrid system. Detailed analysis of the system is undertaken with varying loading conditions. Linearised small signal models of SVC, STATCOM and UPFC are taken to study the transient stability analysis of the proposed system with IEEE type 1 Excitation System. A Self tuned Fuzzy PI Controller is implemented to tune the parameters of KP and Ki of the Hybrid System which undergoes through Voltage Instability due to sudden change in load. Simulation result shows that the proposed controller attains steady state value with less time.

An Improved Performance of Switched Reluctance Motor Drives Using Z-Source Inverter with the Control Rule Reduction of Fuzzy Logic Based PI Controller

This paper is based on the improved performance of the closed loop control of Switched Reluctance Motor drives using Z-Source Inverter with the control rule reduction of 5x5 using Fuzzy Logic Controller(FLC) with the output scaling factor(SF)self-tuning mechanism are proposed.The aim of this paper is to simplify the program complexity of the controller by reducing the number of fuzzy sets of the membership functions(MFs) without losing the system performance and stability via the adjustable controller gain.ZSI exhibits both voltagebuck and voltage-boost capability. It reduces line harmonics, improves reliability, and extends output voltage range.The output SF of the controller can be tuned continuously by a gain updating factor, whose value is derived from fuzzy logic, with the plant error and error change ratio as input variables.Then the expected results, carried out on a four-phase 6/8 pole SRM based on the dSPACEDS1104 platform, to show the feasibility and effectiveness of the devised methods.