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In this paper a bacteria foraging intelligent optimization based optimal fuzzy scheme has been developed to design intelligent adaptive controllers for improving the dynamic and transient stability performance of multimachine power system. This concept is applied to Power System Stabilizer (PSS) connected to a nine bus three machine power system. The rules of the neuro-fuzzy scheme are derived from...
On-line tool wear estimation in turning is essential for on-line cutting process optimization. In this work, cutting force measurement is used for a reliable on-line flank wear estimation and tool life monitoring. Models for flank wear will be obtained as a function of machining parameters and dynamic cutting forces. The coefficients for flank wear models are obtained by using the experimental results...
Power system stabilizer must be capable of providing appropriate stabilization signals over a broad range of operating Equation Chapter 1 Section 1 conditions and disturbances. Traditional power system stabilizers rely on linear design methods. The main disadvantage with the classical PID controller is that it cannot successfully control a plant with strong non-linearities and various operating conditions...
Learning fuzzy rule-based systems with genetic algorithms can lead to very useful descriptions of several optimization and search problems. In the fuzzy logic method, when the inputs to the fuzzy controller in any process are increased, then the number of rules increases exponentially. To overcome the above problem, genetic algorithm (GA) is used. Genetic algorithm is a search and optimization technique...
An integrated flight control system is designed according to the six DOF nonlinear model of pitching channel of hypersonic vehicle X-43A. The system is composed of one fuzzy controller and two PD controllers. Based on genetic algorithm, the optimization process of fuzzy control rules and PD feedback parameters is carried out automatically without expertspsila knowledge and training data in advance...
Considering the pitching channel of air breathing hypersonic vehicle X-43A as plant, flight control system was designed according to the 6 degree of freedom nonlinear model. The flight control system includes two loops, of which the structure is conventional mode. The guidance loop is a PD controller, while the control loop is composed of two fuzzy logic controllers. The guidance loop leads the vehicle...
A fuzzy logic controller (FLC) is designed to achieve course-keeping for mooring shifting system, which is the main system of non self-propelled vessels. Compared with manual operation, the automatic operation and monitoring system with the FLC can perform higher precision and efficiency. The particle swarm optimization (PSO) algorithm is introduced to optimize the proposed FLCpsilas parameters. A...
This paper has proposed a specific class of multiple input single output (MISO) Mamdani fuzzy logic state variable controllers (FLSVC) with triangle input membership functions, output membership functions with the same area, product fuzzy AND operator, sum fuzzy OR operator and centroid of area defuzzifier for control of stable Single Input Multiple Output (SIMO) linear time invariant systems. The...
This paper is devoted to fuzzy controllers, which generate control actions on the basis of fuzzy logic. This paper has sought to demonstrate that qualitative information can be formalised using fuzzy set theory and that this approach is applicable to a range of practical problems. The problems of optimization for their basic parameters are explained because of there importance in the design of fuzzy...
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