A New Backstepping Sliding Control Technique for Hybrid Vehicles Engine Idle Speed Control

2012 ◽  
Vol 466-467 ◽  
pp. 901-906
Author(s):  
Dong Song Luo ◽  
Hai Feng Zhao

In the paper, the idle speed control problem for hybrid vehicles engine is investigated. The mathematics equations about dynamic characteristic of engine’s primary subsystems are presented in the view of the physical characters of engine. A new back stepping sliding mode controller was designed based on the simplified model of engine, and the simulation results show the great improvement of engine control performance, especially to overcome the disturbance.

2011 ◽  
Vol 378-379 ◽  
pp. 521-524
Author(s):  
Li Ping Fan ◽  
Ying Song ◽  
Jun Zhang

Bioprocesses have high nonlinearity and parameter uncertainty. In view of these specific natures of the bioreactor, system identification method was firstly used to linearize the nonlinear system and simplify the model of the biological reactor; then a new sliding mode controller with adaptive reaching law is designed for the reactor. The control method can not only analysis the sliding mode movement near or along the switching surface, but also design the dynamic process in trending segments of the system effectively, thus ensure good movement quality in the entire state space. Simulation results prove that the sliding mode control with adaptive reaching law can improve the control performance with negligible chattering and enhanced robustness.


2019 ◽  
Vol 8 (4) ◽  
pp. 3684-3689

This paper proposes an intelligent speed control system for PMBLDC motor drive applications. A fuzzy sliding mode controller is designed for the high speed control of BLDC motors, Efficacy of the system can be improved by FSM controller. Due to the non- linear characteristics of BLDC motors PID controllers are not relevant to it. Noise disturbances, harmonics, and antecedent or consequent uncertainties are difficult to handle by Interval Type2 fuzzy PID controller. Whereas Sliding Mode Controller is most attractive control technique for all type of uncertainties, and improves the performance of the system. An effective Mat-lab / Simulation result presents the attractive performance of proposed system.


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