In this paper, A Cascaded Multi level Inverter (CMLI) interconnected with the 10 KW PV System, Boost Converter along with Cascaded Feed Forwarded Neural Network (CFFNN) MPPT Controller is proposed to improve the Power Quality (PQ) for Linear, Non-linear and unbalanced loading conditions and minimize the total Harmonic Distortion (THD). The CMLI Consists of Novel type 9-Level Inverter with Reduced number of switches, and is connected to Bridged type inverter as cascaded, to get the required amount of Output voltage which can be used for grid integration. For controlling the inverter the Current controller is much required to control the current and to synchronize the Phase lock loop (PLL) is important. Here a new Adoptive Neuro Fuzzy Interface System (ANFIS) Control tuned with PI Controller is used to advance the performance of the power quality of the system under various loading conditions and undesired oscillations and THD can be improved compared with Conventional PI Controller and Fuzzy-PI Controller, Load voltage and current waveforms are analyzed under IEEE 519. The system is developed in the MATLAB environment to check the dynamic PV performance with MPPT controller and the results are found satisfactory.

The FOPID and PID controller are designed to control the speed of <br /> the BLDC motor. The parameters , , , λ and µ of these controller are optimized based on genetic algorithm. The optimized coefficients keep in track with zero error signals. The output of the controller is given to the variable dc source which varies the input voltage to the three phase inverter depending on the input signal. The three phase inverter gives the voltage to the BLDC motor which enhances the stability of the system. <br /> The effectiveness of the controller is demonstrated by simulation.

In recent years, a remarkable evolution has been achieved by control systems in different application in Robot and many other Areas. One of the significant applications of developing control systems is the Acceleration control in Permanent Magnet Synchronous Motor. Control operations are performed statically even after the proposal of diverse techniques in the literature. In addition, H ∞ controllers are hardly ever utilized to accomplish this. As a result of this, delayed stability problem occurs in Permanent Magnet Synchronous Motor while controlling the acceleration or velocity. In this paper, a graphical-based acceleration stabilization technique is proposed to accomplish effective stability in Permanent Magnet Synchronous Motor controlling operations. the proposed technique is compared with PID Controller to obtain the best performance specifications such motors with large stability margins with robust control can be effectly used in the field of robot application.