Multiobjective GA-fuzzy Logic Controller - Applied to a pH Reactor
نویسندگان
چکیده
A Takagi-Sugeno (T-S) Fuzzy Logic Controller (FLC) is tuned using the algorithm NSGA-II. The proposed method eliminates laborious design steps such as tuning of membership functions and conclusion table parameters. An object approach representation is used to build an adequate FLC representation. Object is an individual abstraction in order to improve crossover a mutation operators. The Genetic Algorithm optimization is carry out over signal response performance parameters, in this work: settling time, rise time, overshoot and steady state error. Experiments show how the algorithm reached good response of some individuals in solution set, typically called Pareto frontier.
منابع مشابه
Using Genetic Algorithms to Design a Fuzzy Logic Controller for a Ph Reactor: an Object Approach
This paper presents a Fuzzy Logic Controller (FLC) designed through Genetic Algorithms (GA). The genetic representation follows an “object approach”, with attributes and methods for each controller element: membership functions, conclusions tables and fitness values. Special mutation and crossover operators are also discussed. Results show that the proposed method is able to find good controlle...
متن کاملTuning of a Proportional-Integral-Derivative Controller using Multi-Objective Non Dominated Sorting Particle Swarm Optimization Applied to pH Control in Continuous Stirred Tank Reactor
Problem statement: Most of the control engineering problems are characterized by several, contradicting, conflicting objectives, which have to be satisfied simultaneously. Two widely used methods for finding the optimal solution to such problems are aggregating to a single criterion and using Pareto-optimal solutions. Approach: Non-Dominated Sorting Particle Swarm Optimization algorithm (NSPSO)...
متن کاملDesign of Fuzzy Logic Based PI Controller for DFIG-based Wind Farm Aimed at Automatic Generation Control in an Interconnected Two Area Power System
This paper addresses the design procedure of a fuzzy logic-based adaptive approach for DFIGs to enhance automatic generation control (AGC) capabilities and provide better dynamic responses in multi-area power systems. In doing so, a proportional-integral (PI) controller is employed in DFIG structure to control the governor speed of wind turbine. At the first stage, the adjustable parameters of ...
متن کاملComparative Analysis of Tuning a PID Controller using Intelligent Methods
A proportional integral derivative (PID) controller is the most commonly used controller in controlling industrial loops due to its simple structure, robust nature and easy implementation. Tuning a PID controller is an important task. The conventional methods for tuning a PID controller have certain limitations. These limitations can be taken care by tuning the PID controller using intelligent ...
متن کاملDesign of a fuzzy controller for pH using genetic algorithm
The control of pH is important in the chemical industry, poses a difficult problem because of inherent nonliniarities and frequently changing process dynamics. The work described in this paper aims at exploring a technique for producing adaptive fuzzy logic controller (FLC), in which a genetic (GA) is employed to alter membership functions. GA is an adaptive search technique based on natural se...
متن کامل