Yaduvir Singh

Genetic Algorithms: Concepts, Design for Optimization of Process Controllers

Genetic Algorithm is a search heuristic that mimics the process of evaluation. Genetic Algorithms can be applied to process controllers for their optimization using natural operators. This paper discusses the concept and design procedure of Genetic Algorithm as an optimization tool. Further, this paper explores the well established methodologies of the literature to realize the workability and applicability of genetic algorithms for process control applications. Genetic Algorithms are applied to direct torque control of induction motor drive, speed control of gas turbine, speed control of DC servo motor for the optimization of control parameters in this work. The simulations were carried out in simulink package of MATLAB. The simulation results show better optimization of hybrid genetic algorithm controllers than fuzzy standalone and conventional controllers.

PID Control of Heat Exchanger System

exchanger system is widely used in chemical plants because it can sustain wide range of temperature and pressure. The main purpose of a heat exchanger system is to transfer heat from a hot fluid to a cooler fluid, so temperature control of outlet fluid is of prime importance. To control the temperature of outlet fluid of the heat exchanger system a conventional PID controller can be used. Due to inherent disadvantages of conventional control techniques, model based control technique is employed and an internal model based PID controller is developed to control the temperature of outlet fluid of the heat exchanger system. The designed controller regulates the temperature of the outgoing fluid to a desired set point in the shortest possible time irrespective of load and process disturbances, equipment saturation and nonlinearity. The developed internal model based PID controller has demonstrated 84% improvement in the overshoot and 44.6% improvement in settling time as compared to the classical controller.

Data logging and supervisory control of process using LabVIEW

This paper gives an overview of data acquisition, data logging and supervisory control system of a plant consisting of multiple boilers. Data acquisition, data logging and supervisory control are the basic building blocks of plant automation. This paper takes a case study of plant consisting of multiple boilers where multiple process variables of the boilers need to be acquired from the field and monitored. The data of the process variables needs to be logged in a database for further analysis and supervisory control. A LabVIEW based data logging and supervisory control program simulates the process and the generated data are logged in to the database with proper indication about the status of the process variable.

Internal model based PID control of shell and tube heat exchanger system

Shell and tube heat exchanger system is widely used in chemical plants because it can sustain wide range of temperature and pressure. The main purpose of a heat exchanger system is to transfer heat from a hot fluid to a cooler fluid, so temperature control of outlet fluid is of prime importance. To control the temperature of outlet fluid of the shell and tube heat exchanger system a conventional PID controller can be used, for better disturbance rejection and more optimal control a feed forward controller can also be employed. Due to inherent disadvantages of conventional control techniques, model based control technique is employed and an internal model based PID controller is developed to control the temperature of outlet fluid of the shell and tube heat exchanger system. The designed controller regulates the temperature of the outgoing fluid to a desired set point in the shortest possible time irrespective of load and process disturbances, equipment saturation and nonlinearity. The internal model based PID controller provides a satisfactory performance in both steady state and transient state. The developed internal model based PID controller has demonstrated 84% improvement in the overshoot and 44.6% improvement in settling time as compared to the classical controller.

Design of Embedded Hybrid Fuzzy-GA Control Strategy for Speed Control of DC Motor: A Servo Control Case Study

paper, DC motor speed control models were mathematically extracted and implemented using artificial intelligence techniques. Due to multivariable and non-linear in nature, it is difficult to achieve the optimum speed of the motor. Conventional PI controller gives the maximum overshoot problem. To overcome the maximum overshoot, artificial intelligence techniques have been incorporated in the controller architecture. Fuzzy logic controlled model of DC motor is implemented, investigated and further optimised by the genetic algorithm for the optimal fuzzy rule base. Digital signal processor TMS320LF2407A is also tested to control the speed of servo motor. The transient time, steady state response and the performance criteria IAE and ITAE of the above controllers have been investigated. The result shows that the fuzzy logic- GA integrated approach has minimum overshoot, and minimum transient and steady state parameters, which shows the more effectiveness and efficiency of FLC-GA hybridisation than FLC and conventional PI model to control the speed of the motor.

Design and Development of a Secured Routing Scheme for Mobile Adhoc Network

The development of mobile ad hoc network advocates selforganized wireless interconnection of communication devices that would either extend or operate in concern with the wired networking infrastructure or, possibly, evolve to autonomous networks. Unlike traditional wireless networks, ad hoc networks do not rely on any fixed infrastructure. Instead, hosts rely on each other to keep the network connected. One main challenge in design of these networks is their vulnerability to security attacks. Despite the existence of wellknown security mechanisms, additional vulnerabilities and features pertinent to this new networking paradigm might render such traditional solutions inapplicable. In particular, the absence of a central authorization facility in an open and distributed communication environment is a major challenge, especially due to the need for cooperative network operation. In MANET, any node may compromise the routing protocol functionality by disrupting the route discovery process. In this paper, we understand the various security related issues related to mobile ad hoc network. The security to the network is provided by using cryptographic schemes to build a highly secure framework

Application of the weakest t-norm Tω based vague lambda-tau methodology for reliability analysis of gas turbine system

In general, the vague lambda-tau methodology based on interval arithmetic operation is used to analyze the reliability of repairable system. The reliability analysis of complex systems based on the interval arithmetic operations are not effectively assessed under the vague environment. Therefore, in order to overcome the above mentioned limitation, this research adopts the weakest t-norm based arithmetic operations over vague lambda-tau methodology. The proposed arithmetic operations provide control on fuzzy spread during complicated calculation of complex system under the vague environment and also it effectively preserve the original shape of a membership function. An example of gas turbine system is given to demonstrate the methods described in this paper.