P. Nedumal Pugazhenthi

Bio: P. Nedumal Pugazhenthi is an academic researcher from Syed Ammal Engineering College. The author has contributed to research in topics: PID controller & Chopper. The author has an hindex of 6, co-authored 10 publications receiving 61 citations.

Fuzzy PD Plus I Control-based Adaptive Cruise Control System in Simulation and Real-time Environment

Abstract: An effort is made to design the fuzzy proportional-derivative (PD) plus I controller for a nonlinear cruise control system in automobiles, which provides adaptive capability in set-point tracking p...

Implementation Analysis of State Space Modelling and Control of Nonlinear Process Using PID Algorithm in MATLAB and PROTEUS Environment

Abstract: The scope of this paper is to look beyond linear solutions and discuss briefly about the recent developments in nonlinear system control & controller tuning methods. An adaptive cruise control model is taken as case study to illustrate the practicality of implementation in the simulation environment in terms of modelling and control of non-linear process. Effort is made to analyse the nonlinear system control in MATLAB and PROTEUS environment.

Closed loop performance investigation of various controllers based chopper fed DC drive in marine applications

Abstract: In this proposed work, the speed of the chopper fed separately excited dc motor can be regulated from below and up to rated speed by using a chopper as a converter. Controller output provides the required gating signal that is used to vary the duty cycle of chopper. Chopper firing circuit receives signal from controller, gives variable voltage to the armature of the motor for achieving desired speed response. For better performance of the DC motor various kind of controller namely Proportional plus Integral (PI), Set point weighting PI, and Fuzzy logic controller are used. Modeling of chopper fed dc motor is done. Complete model of proposed system is simulated using MATLAB (SIMULINK). Finally a comparative study is done between all the controllers.

Performance Investigation of Genetic Algorithm Based LCL Resonant Converter in Marine Applications

Abstract: This manuscript presents steady state stability analysis of LCL RC using frequency plot. Careful analysis favours LCL RC has the fine stability region. Also this paper presents a comparative estimation of conventional Proportional Integral Derivative (PID) Controller and Genetic Algorithm (GA) based PID controller for a modified LCL RC. The above controllers are simulated using MATLAB and their performance is analyzed. Result of the analysis shows the supremacy of GA based PID controller over the conventional PID control method. Design, simulation and experimental results for a 133W, 50 KHz GA based LCL resonant converter is presented in this script. In this work, the applicability of the Philips ARM (Advanced RISC Machine) processor LPC 2148 is also investigated for implementing the GA based PID controller for marine applications. [

Performance Investigation of SHE PWM Implementation of GA Based LCL Resonant Inverter in Marine Applications

Abstract: 1,3,4,6 Department of Electrical and Electronics Engineering, Syed Ammal Engineering College,Ramanathapuram-623502, Tamilnadu, India 2 Department of Electrical and Electronics Engineering, Mepco Schlenk Engineering College, Sivakasi-625005, Tamilnadu, India 5 Department of Electrical and Electronics Engineering, KLN Information Technology, Madurai, Tamilnadu, India 7 Department of Electronics and Communication Engineering, Syed Ammal Engineering College, Ramanathapuram-623502, Tamilnadu, India

Fuzzy PD Plus I Control-based Adaptive Cruise Control System in Simulation and Real-time Environment

Abstract: An effort is made to design the fuzzy proportional-derivative (PD) plus I controller for a nonlinear cruise control system in automobiles, which provides adaptive capability in set-point tracking p...

Social spider optimization algorithm for tuning parameters in PD-like Interval Type-2 Fuzzy Logic Controller applied to a parallel robot:

Abstract: This paper presents control design based on an Interval Type-2 Fuzzy Logic (IT2FL) for the trajectory tracking of 3-RRR (3-Revolute-Revolute-Revolute) planar parallel robot. The design of Type-1 Fu...

Stability and performance investigation of fuzzy controlled LCL resonant converter in RTOS environment

Abstract: The resonant converter (RC) is finding wide applications in many space and radar power supplies. Among various RCs LCL, LCC, and LCL-T topologies are broadly used. This manuscript presents a comparative evaluation of steady-state stability of LCL, LCC, and LCL-T resonant configurations. Careful analysis favors LCL RC among the aforementioned three configurations since the stability region is good for the LCL RC over the other configurations. Also, this paper presents a comparative evaluation of proportional integral (PI) controller and fuzzy logic controller for a modified LCL RC. The aforementioned controllers are simulated using MATLAB and their performance is analyzed. The outcome of the analysis shows the superiority of fuzzy control over the conventional PI control method. The LCL RC is proposed for applications in many space and radar power supplies. Design, simulation, and experimental results for a 133-W, 50-kHz LCL RC are presented in this manuscript which provide high efficiency (greater than 89%) even for 50% of load. Efficiencies greater than 80% are obtained at significantly reduced loads (11%). In this paper, the applicability of the Philips advanced RISC machine processor LPC 2148 is also investigated for implementing the controller for an RC.

A Fault-Tolerance Nanoscale Design for Binary-to-Gray Converter based on QCA

Abstract: The very-large-scale-integration industry has been highly trying to attain miniaturization. This function causes several challenges regarding size, switching speed, power, and fault-tolerant at the...