The paper proposes a new development method dedicated to a class of fuzzy control systems containing Takagi-Sugeno PI-fuzzy controllers to control SISO linear / linearized plants. The considered controllers are characterized by variable number of triangular input membership functions. The method is expressed in terms of relatively simple steps that use the prediction of the limit cycles on the ...

Grid-connected solar micro-inverter is a highly nonlinear and time-varying system, so it is difficult to achieve good control effect using traditional PI controller. In this paper, small signal analysis model of micro-inverter is established, grid-connected current control strategy composed of fuzzy PI controller and grid voltage feed-forward is put forward, and the initial parameters of PI con...

Fuzzy Model Reference Learning Control (FMRLC) is an efficient technique for the control of non linear process. In this paper, a FMRLC is applied in to a non linear spherical tank system. First, the mathematical model of the spherical tank level system is derived and simulation runs are carried out by considering the FMRLC in a closed loop. A similar test runs are also carried out with Neural N...

In this paper, speed control of asynchronous machine fed by a photovoltaic (PV) generator based on a direct proportional and integral controller and an adaptive fuzzy logic controller (AFLC) is presented. Also In this study, it is proposed that the PV output voltage is varies between certain cut in and cut off values that to extract maximum power during different insolation values instead of op...

In industry or any area increasing load is a vast problem for power generation plants due to increase in demand for power. So making balance between generation and demand is the operating principle of load frequency control (LFC). The reliable operation of a large interconnected power system necessarily requires an Automatic Generation Control (AGC). The objective of AGC is to regulate the powe...

Fuzzy logic or fuzzy set theory is recently getting increasing emphasis in process control applications. This paper presents an application of fuzzy logic to control the speed of a synchronous machine (SM). Based on the analysis of the SM transient response and fuzzy logic, a fuzzy controller is developed. The fuzzy controller generates the variations of the reference current vector of the SM s...

The paper deals with both theoretical and application aspects concerning Iterative Feedback Tuning (IFT) algorithms in the design of a class of fuzzy control systems employing Mamdani-type PI-fuzzy controllers. The presentation is focused on twodegree-of-freedom fuzzy control system structures resulting in one design method. The stability analysis approach based on Popov’s hyperstability theory...

In this paper are presented the analysis of three-phase boost rectifier converters in close loop using PI classical controller and PI fuzzy controller. A multi-loop controller for the three-phase boost rectifier consists of an outer loop to regulate the output voltage and two inner current loops one each for the d and q axis input currents. The current loops control the decoupled channels of th...

This paper presents a modeling and performance evaluation of five-phase PMBLDC motor with different controllers to analyze its transients dynamic response time domain specifications. Four types speed controllers, namely an Adaptive Neuro-Fuzzy Inference System (ANFIS), Hybrid fuzzy-PI, Proportional Integral (PI) control Fuzzy Logic Control (FLC), were considered compared for this purpose. The m...

In this paper, the author proposes a sensorless direct torque control (DTC) of an induction motor (IM) fed by seven-level NPC inverter using artificial neural networks (ANN) and fuzzy logic controller. Fuzzy PI controller is used for controlling the rotor speed and ANN applied in switching select stator voltage. The control method proposed in this paper can reduce the torque, stator flux and to...