Hardware-in-the-loop simulation for engine idle speed control based on ANFIS

Designing of fuzzy if-then rules and tuning of membership function are difficult problems because of troublesome characteristics of engine idle speed such as severe process nonlinearities, variable time delay, time variations and unobservable system states. To solve this key issue, an electronic throttle idle speed control strategy based on adaptive network-based fuzzy inference system (ANFIS) is proposed. The simulation model of idle speed controller and engine is built with the tool of MATLAB/SIMULINK. The validity of the control scheme is real-time simulation tested on the electronic throttle hardware-in-the-loop simulation system based on MATLAB/xPC Target. The real-time simulation results show that the idle speed control strategy based on ANFIS has relatively little static errors with better dynamical performance and meet the stability requirements of engine idle speed control. Hardware-in-the-loop simulation system based on xPC Target provides a friendly experiment environment for designing and testing of idle speed controller, and the development period is shortened.