Robust Output Fuzzy Control: Application to Vehicle Lateral Dynamics
نویسندگان
چکیده
This paper deals with the robust control for Four Wheels Steering (4WS) vehicle dynamics when the road adhesion conditions change and the sideslip angle is unavailable for measurement. The nonlinear model of the vehicle, is firstly represented by a uncertain Takagi-Sugeno (T-S) model. Next, robust output stabilization of vehicle is considered. The controller and the observer are designed in terms of Bilinear Matrix Inequality (BMI) problem. The obtained simulation results indicate that considerable improvements in the vehicle handling can be achieved when the vehicle is governed by the proposed fuzzy observer-based controller.
منابع مشابه
Robust Output H∞ Fuzzy Control for Active Fault Tolerant Vehicle Stability
Abstract: This paper presents an active Fault Tolerant Control (FTC) strategy for vehicle lateral dynamics. A bicycle vehicle model using small angle approximations is used to represent vehicle behavior. Firstly, the nonlinear lateral vehicle dynamics is approximated by a TakagiSugeno fuzzy model with parametric uncertainties and sensor faults. Secondly a robust H∞ output controller is used. A ...
متن کاملType-2 Fuzzy Braking-Torque Electronic Stability Control for Four-Wheel Independent Drive Electric Vehicles
The electronic stability control (ESC) system is one of the most important active safety systems in vehicles. Here, we intend to improve the Electronic stability of four in-wheel motor drive electric vehicles. We will design an electronic stability control system based on Type-2 fuzzy logic controller. Since, Type-2 fuzzy controller has uncertainty in input interval furthermore of output fuzzin...
متن کاملRobust Integral Sliding-Mode Control of an Aerospace Launch Vehicle
An analysis of on-line autonomous robust tracking controller based on variable structure control is presented for an aerospace launch vehicle. Decentralized sliding-mode controller is designed to achieve the decoupled asymptotic tracking of guidance commands upon plant uncertainties and external disturbances. Development and application of the controller for an aerospace launch vehicle during a...
متن کاملModeling and Simulation of Vehicle Steering Control on Steer by Wire System Using Fuzzy Logic and Pid Control Tuned by Particle Swarm Optimization (pso)
Steer-by-wire performance is largely determined by the control system is applied. In this paper the present modeling and simulation of vehicle steering control system using Particle Swarm Optimization to tune the parameters that are needed on Fuzzy Logic and PID control, the cascade Fuzzy Logic and PID control used for controlling lateral motion and yaw motion errors on the vehicle model be rep...
متن کاملHybrid Fuzzy-PID Application in Boilers to Obtain Optimum Efficiency
Many real time processes have complex, uncertain and nonlinear dynamics. Boilers are nonlinear, time varying, multi-input multi-output (MIMO) systems, whose states generally vary with operating conditions. The major problem in controlling that system is that its drum water pressure and steam flow dynamics include an integrator that results a critically stable behavior. Conventional controller p...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2005