ABS control using optimum search via sliding modes
نویسندگان
چکیده
The paper presents the control design for Antilock Braking Systems via the Sliding Mode approach. In this study we formulate the problem as that of extremum searching in a highly uncertain situation. We consider the friction force as an output of the dynamic system which includes mechanical motion equations and the hydraulic circuit equations. This setting is complicated by the optimized function being a priori unknown, and the input (slip) not being measurable.
منابع مشابه
An adaptive modified fuzzy-sliding mode longitudinal control design and simulation for vehicles equipped with ABS system
In order to improve the safety and longitudinal stability of a vehicle equipped with standard ABS system, this paper, analyzes the basic principles of vehicles stability and proposes a control strategy based on fuzzy adaptive control which will adjust PID gain parameters, using genetic algorithm. A linear three-degree-of-freedom (DOF) vehicle model was set up in Simulink and the stability test ...
متن کاملSelf-learning fuzzy sliding-mode control for antilock braking systems
The antilock braking system (ABS) is designed to optimize braking effectiveness and maintain steerability; however, the ABS performance will be degraded in the case of severe road conditions. In this study, a self-learning fuzzy sliding-mode control (SLFSMC) design method is proposed for ABS. The SLFSMC ABS will modulate the brake torque for optimum braking. The SLFSMC system is comprised of a ...
متن کاملطراحی سیستم کنترل ABS با در نظر گرفتن کنترل حرکت کناری به روش ترکیبی PID و SMC
Control Systems such as Anti Lock Brake Systems (ABS) and Traction Control Systems (TCS) are vastly used in most vehicles as to enhance the safety of the systems. These systems have many virtues on controlling the dynamics of vehicles, but they only control the longitudinal dynamics of the vehicle directly and the lateral dynamics of vehicle is not controlled because they do not receive any fee...
متن کاملConstrained Nonlinear Optimal Control via a Hybrid BA-SD
The non-convex behavior presented by nonlinear systems limits the application of classical optimization techniques to solve optimal control problems for these kinds of systems. This paper proposes a hybrid algorithm, namely BA-SD, by combining Bee algorithm (BA) with steepest descent (SD) method for numerically solving nonlinear optimal control (NOC) problems. The proposed algorithm includes th...
متن کاملAN OPTIMAL FUZZY SLIDING MODE CONTROLLER DESIGN BASED ON PARTICLE SWARM OPTIMIZATION AND USING SCALAR SIGN FUNCTION
This paper addresses the problems caused by an inappropriate selection of sliding surface parameters in fuzzy sliding mode controllers via an optimization approach. In particular, the proposed method employs the parallel distributed compensator scheme to design the state feedback based control law. The controller gains are determined in offline mode via a linear quadratic regular. The particle ...
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:
- IEEE Trans. Contr. Sys. Techn.
دوره 3 شماره
صفحات -
تاریخ انتشار 1995