Optimal Pid Tuning with Genetic Algorithms for Non Linear Process Models
نویسندگان
چکیده
This work presents a powerful and flexible alternative for tuning PID controllers using Genetic Algorithms. The potential of this technique is shown using non-linear process models and a reference trajectory. Flexibility is demonstrated by showing how to tune an optimal PID in various situations: model errors, noisy input, IAE minimization, and following a reference models, etc. These problems are solved by changing the minimization index. Copyright ©2002 IFAC.
منابع مشابه
Online Tuning of PID Controller for Linear SISO System with Random Communication Delay by Using Genetic Algorithms
In this paper we propose a control strategy for linear SISO systems in the presence of random communication delay. We have included the communication delay in the process model. This control strategy makes use of the several process models and based on the differences between each of them and real process, the PID controller is tuned. The tuning is made online, while the system is operational a...
متن کاملSECURING INTERPRETABILITY OF FUZZY MODELS FOR MODELING NONLINEAR MIMO SYSTEMS USING A HYBRID OF EVOLUTIONARY ALGORITHMS
In this study, a Multi-Objective Genetic Algorithm (MOGA) is utilized to extract interpretable and compact fuzzy rule bases for modeling nonlinear Multi-input Multi-output (MIMO) systems. In the process of non- linear system identi cation, structure selection, parameter estimation, model performance and model validation are important objectives. Furthermore, se- curing low-level and high-level ...
متن کاملOptimal Tuning of PID Controller Using Genetic Algorithm and Swarm Techniques
In order to control the systems, a few control strategies must deal with the effects of non-linearties or uncertainties. As earlier utilized control techniques based on mathematical models have been primarily concentrated on stability robustness against the ill-effects of control mechanism, they are limited in their ability to amend the transient responses. These conventional techniques failed ...
متن کاملMILP Formulation and Genetic Algorithm for Non-permutation Flow Shop Scheduling Problem with Availability Constraints
In this paper, we consider a flow shop scheduling problem with availability constraints (FSSPAC) for the objective of minimizing the makespan. In such a problem, machines are not continuously available for processing jobs due to preventive maintenance activities. We proposed a mixed-integer linear programming (MILP) model for this problem which can generate non-permutation schedules. Furthermor...
متن کاملA Novel Self-tuning Zone PID Controller for Temperature Control via a PLC code
S7-1200 with Tia Portal technology has become a Standard function of distributed controlsystems. Self-Tuning methods belong to Programmable Controllers (PLC) techniques. PLCtechniques contain software packages for advanced control based on mathematical methods. S7-1200 tools are designed to increase the Process Capacity, yield, and quality of products. Most ofthe present time digital industry r...
متن کامل