The voltage ripple is reduced by using conventional proportional integral (PI) controllers require additional filter, and also occurs tuning problem with these controllers. Due to the operating point changes in conventional PI controllers get a nonlinearity output. To overcome above problem, this paper presents Type-2 Neuro fuzzy system (T2NFS) to reduce the voltage ripple in the induction motor by using indirect vector control method. The T2NFS controller performance as compared with conventional proportional integral (PI) controller, voltage ripple reduced in the induction motor without any additional filter and tuning problem is eliminated. In this, the current reference values and original values of current are fed to the T2NFS based controllers and the controller is trained based on the obtained values. The performance of induction motor with indirect vector control method by using T2NFS controllers has been simulated at different operation regions and compared results with PI controllers. The results are experimentally verified with d-space 1104.

D-Q axis voltage ripple minimization of vector control drive using Type-2 NFS controller

Generation of electricity from the PV system has nowadays chosen as a best energy collecting source, due to its abundance availability and also to save the conventional energy sources to the future generation. Because all the conventional sources are coming to an extinct. That is the reason, everybody are looking towards the available renewable energy resources like wind, solar, bio mass, ocean, tidal and geothermal. But, upon those, solar and wind sources are maximum preferred sources, due to their easy availability and easy way of collection of energy. This paper presents a modeling of solar photovoltaic (PV) array with a new modified maximum power point tracking (MPPT) controller, which enhances the PV system performance even at abnormal weather conditions. That the existed MPPT controllers were developed based upon the ideal characteristics of constant irradiance with variable temperature and constant temperature with variable irradiance. To overcome the above problem a practical data is considered for designing of MPPT controller which is based upon variable irradiance. But here, it is developed with the variable irradiance and variable temperature with better performance of the system. The output obtained from the PV with a new modified MPPT is given to the boost converter with an inverter to find the dynamic performance of an indirect vector controlled asynchronous motor drive under different operating conditions. For inverter control, a space vector modulation (SVM) algorithm is used, in which the calculation of switching times is proportional to the instantaneous values of the reference phase voltages. The dynamic performance responses like phasor current, torque and speed of the drive by the new modified MPPT along with SVM controlling technique of the inverter are compared and analyzed with the existed method for different operating conditions.

/pdf/indirect-vector-controlled-asynchronous-motor-drive-s-2r1qkdg11r.pdf

Indirect Vector Controlled Asynchronous Motor Drive’s Dynamic Performance and Analysis with A New Modified MPPT Controller

Wind energy is one of the most important sources of energy in the world. In recent decades, wind as one of the massive marine energy resources in the ocean to produce electricity has been used. This chapter introduces a comprehensive overview of the efficient ocean wind energy technologies, and the global wind energies in both offshore and onshore sides are discussed. Also, the classification of global ocean wind energy resources is presented. Moreover, different components of a wind farm offshore as well as the technologies used in them are investigated. Possible layouts regarding the foundation of an offshore wind turbine, floating offshore, as well as the operation of wind farms in the shallow and deep location of the ocean are studied. Finally, the offshore wind power plant challenges are described.

https://www.intechopen.com/citation-pdf-url/68733

Ocean Wind Energy Technologies in Modern Electric Networks: Opportunity and Challenges

In this paper presents the intelligent theory is control the non-linear behavior of the flyback converter with voltage mode control. The flyback DC-DC converter is operating ~170V 50Hz ac supply providing regulated output voltage 42V DC. Fuzzy logic controller covers a wider range of operating conditions, and they are design in natural language terms, which are based on general knowledge of the plant, it does neither require a precise mathematical modelling of the system nor complex computation. Fuzzy control rules are regulates the output of the flyback converter.The non-linear controller fuzzy logic controller (FLC) provides improved performances in terms of overshoot limitation and sensitivity to parameter variations in dynamic condition. To show the performance variations of the converters output with the fuzzy logic controller, flyback converter is simulated using MATLAB/SIMULINK. Keywords— Component: Fuzzy logic controller, flyback converter, voltage mode control,

/pdf/an-intelligent-theory-for-switch-mode-flyback-converter-s8l80ccnd8.pdf

An Intelligent Theory for Switch Mode Flyback Converter

In this paper a new sliding surface is introduced with fuzzy current sliding mode (SM) control to overcome noise effect of differentiator in general current SM control. performance comparison of has been done on general SM control to the Fuzzy current SM control to Single phase AC/DC boost converter for achieving high power factor. This work is carried out in MATLAB/SIMULINK software. The converter is designed for 110V, 50 Hz AC input and 400V DC output.

Boost PFC converter based on intelligent SM controller

Paralleling of converter modules is a well-known technique that is often used in medium-power applications to achieve the desired output power by using smaller size of high frequency transformers and inductors. In this paper, a parallel-connected single-phase PFC topology using flyback and forward converters is proposed to improve the output voltage regulation with simultaneous input power factor correction (PFC) and control. The goal of the control is to stabilize the output voltage of the converter against the load variations. The paper presents the derivation of fuzzy control rules for the dc/dc converter circuit and control algorithm for regulating the dc/dc converter. This paper presents a design example and circuit analysis for 200 W power supply. The proposed approach offers cost effective, compact and efficient AC/DC converter by the use of parallel power processing. MATLAB/SIMULINK is used for implementation and simulation results show the performance improvement.

Fuzzy Controlled Parallel AC-DC Converter for PFC

Doubly Fed Induction Generator is especially used as wind power generators. An Indirect vector control is used better dynamic performance of DFIG. But the performance of closed loop control is largely influenced by the type of speed and current controllers used. Usually, proportional-integral (PI) based current controllers are used due its simplicity. But these PI controllers suffer from tuning problem. To overcome the problem, this paper presents Adaptive Neuro-fuzzy based speed controller for indirect vector controlled VSI fed doubly fed induction generator to minimize the torque ripple. The proposed ANFIS controller significantly reduces the torque ripple compared to that of conventional PI controllers without using any filter. The performance of the indirect vector controlled induction motor drive has been simulated at different operating conditions using the ANFIS controller and the obtained results are compared with PI controller. Additionally in the implemented SVM algorithm, the switching times proportional to the instantaneous values of the reference phase voltages. It eliminates the need the calculation of sector and angle information unlike conventional SVM method.

Neuro fuzzy based indirect vector control doubly fed induction generator

Doubly Fed Induction Generator is especially used as wind power generators. This paper presents a control system which is based on neuro fuzzy because conventional PI controller based system does not operate satisfactorily as the operating point change. The proposed controller allows regulation in the active and reactive power efficiency. In this it takes the inputs as slip frequency, reactive power and active power to produce the voltage equal to cascaded arrangement speed. The proposed controller improves the low voltage ride and also voltage profile until the converter retrieves the normal operation. . As the wind turbine of speed is variable time to time. This causes fluctuations in the output of Doubly fed induction generator and also affects the active & reactive power. If the reactive power changes then the power factor will also be affected. Unlike existed controller, in this the reactive power along with wind turbine speed is considered as inputs to the controller to maintain better power factor. The proposed model is implemented in Matlab/simulink. The percentage THD of the voltage profiles is reduced

Neuro fuzzy based P s &Q S controller for Doubly Fed Induction Generator with wind turbine

This paper presents the design of an State-PID Feedback Controller (SFCPID) for a highly unstable non-linear system, magnetically suspended balanced beam (MSBB) and analysis of its effects. The modelling of Magnetically Suspended Balance Beam (MSBB) and design of Integral sliding mode controller are carried out using MATLAB/SIMULINK. The disturbance rejection of the controller is investigated and the stabilization performance of the State-PID Feedback Controller is compared with that obtained by a conventional state feedback controller with integral action when a disturbance force applied.

M. Subba Rao

Papers

Fuzzy Controlled Parallel AC-DC Converter for PFC

Neuro fuzzy based indirect vector control doubly fed induction generator

Neuro fuzzy based P s &Q S controller for Doubly Fed Induction Generator with wind turbine

Boost PFC converter based on intelligent SM controller

Design of state-PID feedback controller for magnetically suspended balance beam system