Modeling And Simulation Of Intelligent Fuzzy-Pid Controller For A Full Car Model To Ride Quality Improvement Of Active Suspension System

Abstract

The Vehicle Suspension Is Responsible For Ride Comfort And Stability As The Suspension System Carries The Vehicle Mass And Transmits All Forces Between Body And Road. The Design Of The Suspension System Involves An Optimization Process As It Is Not Possible To Provide Both Ride Comfort And Stability Simultaneously. Thus, A Better Suspension Can Be Designed Through An Optimization Process To Provide Optimum Ride Comfort And Optimum Road Safety For Vehicles. Initially, The Model-Based Controller Is Designed With A Quarter Car Model For Active Suspension. But It Cannot Be Used To Measure The Pitch And Roll Motion Of The Vehicle. Both Quarter Car And Half Car Model Does Not Model The Actual System For Practical Applications. Hence, An Accurate Model For The Actual System Needs A Full Car Model With Seven Degrees Of Freedom. The Inherent Complex Nonlinear Full Car Model For Active Suspension And The Presence Of Parameter Uncertainties In Actuator Dynamics Have Increased The Difficulties In Applying Conventional Linear Control Techniques To Full Car Model-Based Hydraulic Actuated Active Suspension Systems. Recently, The Combination Of Sliding Mode, Fuzzy Logic, And Neural Network Methodologies Have Emerged As A Promising Technique For Dealing With Complex Uncertain Systems. The Objective Of This Thesis Is To Develop An Intelligent Fuzzy-Pid Controller For Tuning The Membership Function Of The Fuzzy Controller To Optimize The Performance Of The Active Suspension. Intelligent Control Schemes Can Control The Un-Modeled Part Of The Suspension Dynamics Which Are Simple To Realize And Can Yield Accurate Control. The Whole Research Work Is Classified Into Three Different Divisions Namely System Modeling, Controller Design And Simulation. The Performance Of The Developed Intelligent Fuzzy-Pid Controller Measured By Using Software In The Loop (Sil) Simulation And Also In The Real-Time Control Platform For The Active Suspension. The Development Of An Intelligent Fuzzy-Pid Control For Realistic Full Model-Based Active Suspension Outperform The Existing Conventional Controllers With Regard To Body Acceleration, Body Displacement, Roll Angle And Pitch Angle. The Real Active Suspension Should Be Tested On Real Road With Varying Disturbance In Order To Assess The Effectiveness Of Developed Controller.