PID Parameters Prediction Using Neural Network for A Linear Quarter Car Suspension Control
Journal Title: International Journal of Intelligent Systems and Applications in Engineering - Year 2016, Vol 4, Issue 1
Abstract
Providing control for suspension systems in vehicles is an enhancing factor for comfort and safety. With the improvement of control conditions, it is possible to design a cost-efficient controller which will maintain optimum comfort within harsher environmental conditions. The aim of this study is to design an adaptive PID controller with a predictive neural network model, which will be referred as NPID (NeuralPID), to control a suspension system. For this purpose, a NN (Neural Network) model is designed to produce outputs for PID’s Proportional (P) parameter to provide optimum responses for different road inputs. Also, reliability of the system outputs, which is using adaptive Proportional parameter, is tested. PID parameters for linear quarter vehicle model are decided through Zeigler-Nichols method. An ideal PID model, where Integral (I) and Derivative (D) parameters are bound to Proportional parameter, is used in the system. When the outputs of different controlled and not controlled systems, which are free, PID and NPID, are compared; it has been seen that NPID outputs are more convenient. In addition, it is possible to design controllers, with adaptively adjusting P parameter, which are operating cost-effective.
Authors and Affiliations
Kenan Muderrisoglu| Yıldız Technical University – Mechatronic Engineering Department, Dogan Onur Arisoy| Boğaziçi University – Institute of Biomedical Engineering, A. Oguzhan Ahan| Yıldız Technical University – Mechanical Engineering Department, Erhan Akdogan| Yıldız Technical University – Mechatronic Engineering Department
Keywords
Related Articles
- EP ID EP793
- DOI 10.18201/ijisae.75361
- Views 517
- Downloads 27
Rainfall estimation based on NAW approach using MSG-SEVIRI images: An application in north Algeria
In this work, we will adapt the NAW (Nagri, Adler and Wetzel) precipitation, estimation approach to the north Algeria events using the Meteosat Second Generation (MSG) satellite images. The tests are carried out on seven...
Cloud Computing Environments Which Can Be Used in Health Education
At the present time, it is known that cloud computing technologies began to be used widely in information technology. The purpose of this study is to provide information about cloud technologies that can be used in healt...
A Note on Entropy Subsethood Relationship
We comment on subsethood measure defined by Kosko and Young and give some new aspects of these measures. Finally we would like to discard the entropy subsethood relationship established by the authirs. We present some pr...
BAT algorithm for Cryptanalysis of Feistel cryptosystems
Recent cryptosystems constitute an effective task for cryptanalysis algorithms due to their internal structure based on nonlinearity. This problem can be formulated as NP-Hard. It has long been subject to various attacks...
A simple Mathematical Fuzzy Model of Brain Emotional Learning to Predict Kp Geomagnetic Index
In this paper, we propose fuzzy mathematical model of brain limbic system (LS) which is responsible for emotional stimuli. Here the proposed model is utilized to predict the chaotic activity of the earth’s magnetosphere....