Steam turbine controllers design based on soft-computing techniques

Field Study Based on Soft Computing Techniques

Usage of soft computing techniques in field study saves human labor. Field study plays a vital role in the economic importance of agriculture which in turn results in poverty reduction. Farmers guess the solutions to the disease based on the loss of plant life that occurred previously. Technology is used to support farmers and botanist which give precise solution for the vague input information...

Image Denoising Based on Soft Computing Techniques

Image Denoising is one of the existing problems in research area. This paper presents an interactive algorithm for image Denoising and segmentation. This paper explains the task of segmenting any given color image using soft computing techniques. The segmentation techniques used are Fuzzy Clustering (FC), Fuzzy C Means (FCM) clustering and Convolutional Networks (CN). After the image is segment...

Design of Wind Turbine Controllers

Owing to concern over the environment, there is much interest in renewable sources of energy, one of the most promising of which is wind power. Wind power is not yet a mature technology and one of the issues to be resolved is the most effective manner in which to regulate the wind turbines are posed by the different wind turbine configurations. A variety of control design tasks with differing o...

Steam Turbine Steam System

Design of Multivariable Controllers for the Ideal Cstr Using Soft Computing Techniques

This chapter describes the design of controllers for the ideal CSTR using soft computing techniques namely, genetic algorithm and fuzzy logic. In this chapter, an attempt has been made to obtain the optimal PI controller parameters for each operating region using GA technique. GA based PI implements the characteristics of global optimization to optimize the PI control parameters Kp and Ki to pr...