A nonlinear model for design and simulation of automotive idle speed control strategies

Abstract

A nonlinear model of a spark-ignited internal combustion engine for the design and simulation of idle speed controllers is presented. Due to the torque-based software architecture of modern engine control systems, the model incorporates the underlying physical relationships as well as parts of the engine control software functions. All parameters for the engine model are provided. The control inputs are the throttle command signal and the spark advance control signal. As output signals, the engine speed and the torque reserve are used. The suitability of this model for controller design is shown through an exemplary MIMO H design.

Delay-dependent guaranteed cost control for state-delayed system with disturbance and its application to engine idle speed control

“…Because ISC is a steady operation, linearized engine model can be obtained, giving us the chance of application of many wellknown and effective linear control system theory. Using the experiment data obtained from the engine operating at idle speed mode (see Table 1), a linear model of engine operating at engine speed ω 0 = 83.775 rad/s (800 rpm) and intake manifold pressure p m0 = 23.775 KPa was built as follows: 3 ] T is the system state, and x 1 is chosen as the intake manifold pressure difference Δp m = p m − p m0 , x 3 is the engine angular velocity difference…”

Evaluation of Idle Speed Control Method of Automotive Engine

“…In idle speed control problem due to its specific goals, which in the case of uncertain interference, ensuring the engine speed to the reference speed good steady-state performance and dynamic performance can be a very typical closed-loop feedback control problem.Engine idle speed control scheme as shown in Fig.1.Many researchers abroad on the basis of the basic control strategy, joined the ignition moment control [1][2][3].Adopting the method of changing the ignition advance angle to control working condition of stable idle speed of response is much faster and can achieve higher precision, but changing the ignition advance angle can tinily change the speed range.Domestic researchers have carried out the research work.In [4,5],they investigated different engine model and control method in idle speed control applications,and discusse the control system of linear motor Mexico's analysis and synthesis and simulation and controller design of nonlinear system.Compared with the traditional control method and the advantages and disadvantages of the advanced control method.So far, many advanced control theory has been applied to the problem of idle speed control in [6], such as fuzzy control, adaptive control and robust control method.Summarize the engine idle 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2015) speed aspects of the related literature at home and abroad,the following are the main types of engine idle speed control. …”

Modeling and Simulation of SI Engines for Fault Detection

“…A detailed description of nonlinear engine models and their background can be studied in [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. With fuel dynamics considered to be ideal, the model becomes a two state nonlinear model consisting of (17) and (18) only.…”

“…In this model throttle position is taken as input and crankshaft speed is considered to be the output. A careful analysis indicates that MVM proposed by different researchers share same physical principles but differ from each other slightly in one way or the other [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16], [26], and [27]. The idea behind the development of model is that the output of model represents the average response of multiple ignition cycles of an SI engine although the model could be used for cycle by cycle analysis of engine behavior.…”

“…The design of controller for SI engine to ensure its different performance objectives needs mathematical model of SI engine. Mean Value Model (MVM) is one of the most important mathematical models used most frequently by the research community for the design of controllers; see for example [1], [2], [5], [7], [9], [13], [14], and [15]. The basic mean value model is based on the average behavior of SI engine in multiple ignition cycles.…”