Requirements and Performance of Engine Management Systems under Transient Conditions

Management of Automotive Engine Based on Stable Fuzzy Technique with Parallel Sliding Mode Optimization

“…The main targets in designing control systems are stability, good disturbance rejection, and small tracking error [5]. Several industrial IC engines are controlled by linear methodologies (e.g., Proportional-Derivative (PD) management, Proportional-Integral (PI) management or Proportional-Integral-Derivative (PID) management), but when IC engine works in various situations and have uncertainty in dynamic models this technique has limitations.…”

“…From the control point of view, uncertainty is divided into two main groups: uncertainty in unstructured inputs (e.g., noise, disturbance) and uncertainty in structure dynamics (e.g., payload, parameter variations). In some applications IC engines are used in an unknown and unstructured environment, therefore strong mathematical tools used in new control methodologies to design fuzzy PD controller based on sliding mode compensation to have an acceptable performance (e.g., minimum error, good trajectory, disturbance rejection) [1][2][3][4][5][6][7].…”

Robust Fuzzy PD Method with Parallel Computed Fuel Ratio Estimation Applied to Automotive Engine

“…One of the most significant challenges in control manage algorith ms is a linear behavior controller design for nonlinear systems (e.g., IC engine). All of IC engines which work in industrial processes are controlled by linear PD control management and proportional-integral-derivative (PID) method, but the design of linear control management for IC engines is extremely difficult because they are hardly nonlinear and uncertain [1][2]6]. To reduce the above challenges, the nonlinear robust methodology (e.g., computed fuel ratio methodology) is used to compensate the linear control of IC engine.…”

“…The controller is a device wh ich can sense informat ion fro m linear or nonlinear system (e.g., IC engine) to improve the systems performance [3] main targets to design a control systems are stability, good disturbance rejection, and small tracking erro r [5]. In automotive industries s everal IC engines are controlled by linear methodologies (e.g., ProportionalDerivative (PD) methodology, Proportional-Integral (PI) method or Proportional-Integral-Derivative (PID) method), but it has many limitat ion to have a good result.…”

“…In automotive industries s everal IC engines are controlled by linear methodologies (e.g., ProportionalDerivative (PD) methodology, Proportional-Integral (PI) method or Proportional-Integral-Derivative (PID) method), but it has many limitat ion to have a good result. In some applications IC engines are used in an unknown and unstructured environment, therefo re strong mathematical tools used in new control methodologies to design fuzzy plus PD controller based on computed fuel ratio compensation [4][5].…”