Extension of Model Following Techniques to Sliding Mode Fuzzy Control for Non Linear Systems
نویسندگان
چکیده
In this paper, a new algorithm based on model following technique has been presented for a Fuzzy sliding mode control. The proposed technique enables designing of fuzzy controller based on time domain specifications and the response of the fuzzy control law can be properly shaped on a sound mathematical footing. The new fuzzy control law leads to appreciable reduction of number of fuzzy rules as compared to any other algorithm reported so far. The approach also enables stability analysis of the fuzzy control law, which is often a challenging issue in fuzzy control system design. It has been found that proposed method results in much superior tracking performance, wherein a non-linear system can be forced to track the response of a properly chosen linear mathematical model.
منابع مشابه
Adaptive fuzzy pole placement for stabilization of non-linear systems
A new approach for pole placement of nonlinear systems using state feedback and fuzzy system is proposed. We use a new online fuzzy training method to identify and to obtain a fuzzy model for the unknown nonlinear system using only the system input and output. Then, we linearized this identified model at each sampling time to have an approximate linear time varying system. In order to stabilize...
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 کاملDesign of robust fuzzy Sliding-Mode control for a class of the Takagi-Sugeno uncertain fuzzy systems using scalar Sign function
This article presents a fuzzy sliding-mode control scheme for a class of Takagi-Sugeno (T-S) fuzzy which are subject to norm-bounded uncertainties in each subsystem. The proposed stabilization method can be adopted to explore T-S uncertain fuzzy systems (TSUFS) with various local control inputs. Firstly, a new design is proposed to transform TSUFS into sliding-mode dynamic systems.In addi...
متن کاملFuzzy Sliding Mode Control System Design for Car- Following Behavior in Real Traffic Flow
In this paper a control system has been designed to improve traffic conditions in car following maneuver. There are different methods to design a control system. In this paper design approach is based on the Fuzzy sliding mode control (FSMC) system. The aim of designing FSMC system is to achieve safe and desire longitudinal distance and less lateral displacement. In orde...
متن کاملA magnetorheological fluid damper for robust vibration control of flexible rotor-bearing systems: A comparison between sliding mode and fuzzy approaches
Squeeze Film Dampers (SFD) are commonly used for passive vibration control of rotor-bearing systems. The Magnetorheological (MR) and Electrorheological (ER) fluids in SFDs give a varying damping characteristic to the bearing that can provide active control schemes for the rotor-bearing system. A common way to model an MR bearing is implementing the Bingham plastic model. Adding this model to th...
متن کامل