A comparative study of different control techniques for active suspension systems /
Rana Mohamed Abdelrahman Saleh
A comparative study of different control techniques for active suspension systems / دراسة مقارنة لتقنيات تحكم مختلفة لأنظمة التعليق النشطة Rana Mohamed Abdelrahman Saleh ; Supervised Ahmed Mohamed Kamel - Cairo : Rana Mohamed Abdelrahman Saleh , 2018 - 91 P. : charts , facsimiles ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electical Power and Machines
This research focuses on implementing a group of control techniques to enhance the performance of Active Suspension System for different vehicles models under the presence of various road profiles. Linear and nonlinear mathematical models of quarter and half vehicle and a linear model of full vehicle are presented. PID controller is used for the linear models and Feedback Linearization control is used for the nonlinear models whereas Fuzzy Logic controller is used for both the linear and nonlinear models. Particle Swarm Optimization is the tuning method for the provided controllers. MATLAB/SIMULINK software is used for simulation which is based on the mathematical models. A comparison between the behavior of passive and active suspensions is demonstrated. Active suspension shows a significant enhancement compared to passive suspension
Active Suspension Fuzzy PID
A comparative study of different control techniques for active suspension systems / دراسة مقارنة لتقنيات تحكم مختلفة لأنظمة التعليق النشطة Rana Mohamed Abdelrahman Saleh ; Supervised Ahmed Mohamed Kamel - Cairo : Rana Mohamed Abdelrahman Saleh , 2018 - 91 P. : charts , facsimiles ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electical Power and Machines
This research focuses on implementing a group of control techniques to enhance the performance of Active Suspension System for different vehicles models under the presence of various road profiles. Linear and nonlinear mathematical models of quarter and half vehicle and a linear model of full vehicle are presented. PID controller is used for the linear models and Feedback Linearization control is used for the nonlinear models whereas Fuzzy Logic controller is used for both the linear and nonlinear models. Particle Swarm Optimization is the tuning method for the provided controllers. MATLAB/SIMULINK software is used for simulation which is based on the mathematical models. A comparison between the behavior of passive and active suspensions is demonstrated. Active suspension shows a significant enhancement compared to passive suspension
Active Suspension Fuzzy PID