A New Intelligent Fuzzy Controller for Nonlinear Hysteretic Electronic Throttle in Modern Intelligent Automobiles

Abstract

In order to control the nonlinear hysteretic electronic throttle adopted in modern automobiles, a new result for the tracking control of nonlinear hysteretic system is first proposed in this paper. Therefore we can realize the intelligent fuzzy logic controller in a well-behaved and systematic manner. A new closed-loop Back-propagation tuning is also proposed for the tuning of the fuzzy output membership functions to yield better tracking result. Finally, the controller synthesis is performed in a real-time environment using dSpace MicroAutobox and advanced microcontroller development board to yield excellent tracking results with cost-effective implementation.Index Terms-Electronic throttle (ET), fuzzy logic, hysteretic systems, intelligent control.

Finding the Real Surge Boundaries of Turbo-charged Automobiles Using Intelligent Fuzzy Reasoning Technique

“…The structure of FLS is a Mamdani type with a typical 'If-Then' rule and logical connectives to establish relations between the variables defined for the model of the system structure [1,4,10]. The fuzzy rules serve as an interface amongst qualitative variables in the model and the input and output numerical variables.…”

“…Today's automobiles have been shifted from a pure mechanical type to an electro-mechanical implementation [1][2][3][4][5]. Advanced technology has allowed turbo charger engine to improve vehicle performance as well as fuelefficient abilities that reduces carbon dioxide emission.…”

Extended state observer–based intelligent double integral sliding mode control of electronic throttle valve

“…Recently, Yuan et al 17,18 presented a self-learning controller for the ET valve based on neural network, for which strong robustness was achieved. Furthermore, to handle the nonlinear hysteretic behavior of ET, Wang and Huang 19 proposed an intelligent fuzzy control approach with feedforward closed-loop structure, wherein the fuzzy membership function was elegantly tuned with a novel closed-loop backpropagation (BP) method to achieve better tracking performance. However, the feedforward controller could not compensate nonlinear hysteresis (NH) accurately as the designed fuzzy rules were too simple.…”

Extended-State-Observer-Based Double-Loop Integral Sliding-Mode Control of Electronic Throttle Valve

“…However, the BP algorithm leads to slow training and also results in a local minimum. Wang et al [27] suggested an intelligent fuzzy controller with feedforward closed-loop configuration to deal with the nonlinear hysteretic behavior of ET. They also proposed a new closed-loop back-propagation tuning for the fuzzy output membership function to obtain better tracking performance.…”

“…The study contributions are as follows. First, in the ET controller design, many previous studies [10], [14], [18]- [22], [25]- [27] treat only the throttle opening angle error as feedback, and do not consider the throttle opening angle change error. To the best of our knowledge, this study is the first to consider both the throttle opening angle error and the throttle opening angle change error as feedback.…”