Sri Ramakrishna Engineering College

About: Sri Ramakrishna Engineering College is a based out in . It is known for research contribution in the topics: Computer science & Control theory. The organization has 1030 authors who have published 843 publications receiving 3822 citations.

Performance comparison of hysteresis pulse width modulation and space vector pulse width modulation techniques for torque ripple reduction in permanent magnet synchronous motor using iterative learning control

Abstract: Permanent magnet synchronous motors (PMSM) are widely used in high performance applications demanding smooth torque, accurate speed and position control. However the existing PMSM drive produces high torque ripples. The major challenge is to develop new torque control schemes to minimize the torque ripples so as to suit the application requirements. This paper describes two instantaneous field oriented torque control techniques − 1) Iterative learning controller (ILC) in combination with hysteresis pulse width modulation and 2) Iterative learning controller in combination with space vector pulse width modulation (SVPWM) to reduce torque ripples in PMSM drive. These techniques are simulated for drive performance under different load conditions using the Simulink library in MATLAB Version 10.0 and the results obtained are presented and compared. The simulation results show that the ILC with SVPWM technique has less torque ripples.

Hybrid Fuzzy PID Controller for Pressure Process Control Application

Abstract: Process of controlling pressure in process industries becomes difficult when the conventional controller is used because of not capable of handling delay time, rise time and steady-state error. So, in this work, the method of the combining the conventional controller with the optimised hybrid system is considered. In this hybrid system the combination of fuzzy logic controller and PID controller is taken for evaluation and performance analysis over the pressure process. Generally fuzzy controllers use a rule base to describe relationships between the variables that are used in the processes. The performance analysis is done for different conventional controllers like PID and fuzzy PID. The performance analysis for the controllers is based in considering conventional resultant parameters like rise time, peak overshoot and settling time. We proposed a hybrid fuzzy PID controller which utilises the properties and advantage of the fuzzy and PID controllers. The effectiveness of the Hybrid fuzzy PID controller designed is demonstrated in pressure process.

ZHRP-DCSEI, a Novel Hybrid Routing Protocol for Mobile Ad-hoc Networks to Optimize Energy Using Dynamic Cuckoo Search Algorithm

Abstract: In the wireless network advancement, Mobile Ad-hoc Networks (MANET) has been one of the developing areas of research. MANET is a group of wireless mobile nodes, which dynamically interchange information by modeling a short-term network without any framework. In MANET, routing is a highly challenging problem. Routing refers to discovering a path between the source (transmitter) and the destination (recipient) to forward the data packets. In a dynamic environment like MANET, another challenging issue is to prolong the network lifetime by optimizing the energy to avoid broken links. An improved version of hybrid Zone based Hierarchical Routing Protocol (ZHRP) based on Dynamic Cuckoo Search (DCS) algorithm has been proposed to optimize the path selection process and energy utilization. Initially, the DCS algorithm has been applied to zone based hierarchical routing protocol to discover and sustain the best routes for each node. Then, the stability of the wireless link is evaluated using this meta-heuristic technique. In the DCS algorithm, to maintain the balance between the global and the local random walks, a dynamic switching parameter has been applied. Different versions of dynamic switching parameters in the cuckoo search algorithm such as linear decreasing, linear increasing, exponential increasing, and power increasing are implemented to enhance the performance of the routing process in MANETs. The simulation results show that the proposed dynamic cuckoo search based hybrid routing technique has comparatively improved the performance of zone based hierarchical routing in terms of energy consumption, average delay, packet delivery rate, and throughput. Finally, the simulation results indicate that the DCS algorithm with a switching parameter, which increases exponentially, outperforms the variants of the DCS algorithm.