A Nonlinear Controller Design Method for Fuel-Injected Automotive Engines

1988 ◽  
Vol 110 (3) ◽  
pp. 313-320 ◽  
Author(s):  
D. Cho ◽  
J. K. Hedrick
Keyword(s):  
Fuel Injection ◽  
Control Method ◽  
Controller Design ◽  
Sliding Mode ◽  
Design Method ◽  
Model Errors ◽  
Nonlinear Controller ◽  
Engine Model ◽  
Automotive Engines ◽  
On Line

A nonlinear, “sliding mode” fuel-injection controller is designed based on a physically motivated, mathematical engine model. The designed controller can achieve a commanded air-to-fuel ratio with excellent transient properties, which offers the potential for improving fuel economy, torque transients, and emission levels. The controller is robust to model errors as well as to rapidly changing maneuvers of throttle and spark advance. The sliding mode control method offers a great potential for future engine control problems, since: it results in a relatively simple control structure that requires little on-line computing and no table lookups; it is robust to model errors and disturbances; and it can be easily adapted to a family of engines.

Sliding Mode Fuel-Injection Controller: Its Advantages

1991 ◽  
Vol 113 (3) ◽  
pp. 537-541 ◽  
Author(s):  
Dan Cho ◽  
J. Karl Hedrick
Keyword(s):  
Oxygen Sensor ◽  
Fuel Injection ◽  
Control Method ◽  
Sliding Mode ◽  
Automatic Transmission ◽  
Injection System ◽  
Sensor Technology ◽  
Stoichiometric Ratio ◽  
Model Errors ◽  
Operating Characteristics

New and improved results are presented on the advantages of employing the sliding mode control method for designing a closed-loop fuel-injection system. The two biggest advantages of this method are: (1) its compatibility with the current oxygen sensor technology and (2) its ability to consider robustness and performance issues analytically for an automotive engine, whose operating characteristics are highly complex and nonlinear. The controller can achieve the stoichiometric ratio control of air and fuel with excellent transient properties and is robust to model errors and disturbances. Furthermore, through direct comparisons to PI-controllers, it is shown that the sliding mode fuel-injection controller is versatile and requires very little tuning time. Performance evaluations are performed both on an engine-only model and on a comprehensive powertrain model that includes automatic transmission and drivetrain dynamics.

scholarly journals Nonlinear controller design of a ship autopilot

2010 ◽  
Vol 20 (2) ◽  
pp. 271-280 ◽  
Author(s):  
Mirosław Tomera
Keyword(s):  
High Performance ◽  
Control Method ◽  
Controller Design ◽  
Sliding Mode ◽  
Time Domain Analysis ◽  
Nonlinear Controller ◽  
Calm Water ◽  
Simulation Results ◽  
Nonlinear Controller Design ◽  
Ship Autopilot

Nonlinear controller design of a ship autopilotThe main goal here is to design a proper and efficient controller for a ship autopilot based on the sliding mode control method. A hydrodynamic numerical model of CyberShip II including wave effects is applied to simulate the ship autopilot system by using time domain analysis. To compare the results similar research was conducted with the PD controller, which was adapted to the autopilot system. The differences in simulation results between two controllers are analyzed by a cost function composed of a heading angle error and rudder deflection either in calm water or in waves. Simulation results show the effectiveness of the method in the presence of nonlinearities and disturbances, and high performance of the proposed controller.

scholarly journals U-Model-Based Sliding Mode Controller Design for Quadrotor UAV Control Systems

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Rui Wang ◽  
Lei Gao ◽  
Chengrui Bai ◽  
Hui Sun
Keyword(s):  
Control Method ◽  
Controller Design ◽  
Fault Tolerant ◽  
Sliding Mode ◽  
Design Method ◽  
Actuator Failures ◽  
Quadrotor Uav ◽  
Model Based ◽  
Aerial Vehicle ◽  
The Stability

This paper proposes a U-model-based fault-tolerant controller design method in order to ensure the unmanned aerial vehicle (UAV) flight performance when subject to the actuator failures. Depending on the decoupled quadrotor model, this paper presents a sliding mode control method based on U-model in detail and realizes fault-tolerant control for the quadrotor UAV with the stability theory and simulation experiment verifications. The results show that the new controller designed by using the U-model method can simplify the controller design process which has good fault-tolerant characteristics when actuator faults occur compared with the traditional method.

An adaptive sliding mode controller for air-fuel ratio control of spark ignition engines

2001 ◽  
Vol 215 (2) ◽  
pp. 305-315 ◽  
Author(s):  
P Yoon ◽  
M Sunwoo
Keyword(s):  
Control Algorithm ◽  
Oxygen Sensor ◽  
Fuel Injection ◽  
Sliding Mode ◽  
Model Parameters ◽  
Model Errors ◽  
Engine Model ◽  
Fuel Ratio ◽  
Adaptive Sliding Mode Controller ◽  
Measurement Delay

An adaptive dynamic sliding mode fuel injection control algorithm based on the measurement of a binary oxygen sensor to reduce the exhaust gas emissions is proposed. The controller suggested in this paper is designed on the basis of the two-state dynamic engine model developed in the crank angle domain, and it is composed of an adaptation law for fuel delivery model parameters and measurement bias in mass air flowrate. The control algorithm is mathematically compact enough to run in real time, and it is robust to modelling errors as well as to rapidly changing manoeuvres of the throttle. The simulation and experimental results show that this algorithm can substantially reduce the transient peaks in air-fuel ratio (AFR) while maintaining robustness to model errors and measurement delay.

scholarly journals Backstepping sliding mode controller improved with fuzzy logic: Application to the quadrotor helicopter

2012 ◽  
Vol 22 (3) ◽  
pp. 315-342 ◽  
Author(s):  
Samir Zeghlache ◽  
Djamel Saigaa ◽  
Kamel Kara ◽  
Abdelghani Harrag ◽  
Abderrahmen Bouguerra
Keyword(s):  
Fuzzy Logic ◽  
Control Method ◽  
Sliding Mode ◽  
Design Method ◽  
Stability And Convergence ◽  
Sliding Mode Controller ◽  
Quadrotor Helicopter ◽  
Nonlinear Control Method ◽  
The Stability ◽  
Yaw Angle

Abstract In this paper we present a new design method for the fight control of an autonomous quadrotor helicopter based on fuzzy sliding mode control using backstepping approach. Due to the underactuated property of the quadrotor helicopter, the controller can move three positions (x;y; z) of the helicopter and the yaw angle to their desired values and stabilize the pitch and roll angles. A first-order nonlinear sliding surface is obtained using the backstepping technique, on which the developed sliding mode controller is based. Mathematical development for the stability and convergence of the system is presented. The main purpose is to eliminate the chattering phenomenon. Thus we have used a fuzzy logic control to generate the hitting control signal. The performances of the nonlinear control method are evaluated by simulation and the results demonstrate the effectiveness of the proposed control strategy for the quadrotor helicopter in vertical flights.

A sky-hook sliding mode semiactive control for commercial truck seat suspension

2020 ◽  
pp. 107754632094097
Author(s):  
Qiang Chen ◽  
Yong Zhang ◽  
Chengwei Zhu ◽  
Jinbo Wu ◽  
Ye Zhuang
Keyword(s):  
Nonlinear System ◽  
Phase Portrait ◽  
Control Method ◽  
Reference Model ◽  
Sliding Mode ◽  
Tracking Error ◽  
Magnetorheological Damper ◽  
Nonlinear Controller ◽  
Parameter Uncertainties ◽  
Seat Suspension

A semiactive seat suspension control method is proposed in this study and applied to attenuate the vibration of the commercial truck seat for enhancing its ride comfort. The semiactive seat suspension system with a magnetorheological damper behaves with undesirable nonlinear properties. The proposed controller is a typical nonlinear controller, which takes the ideal sky-hook controller as the reference model and forces the tracking error vector. The controller has achieved great performance of attenuating vibration and is robust to parameter uncertainties and external disturbances. The relaxation oscillation phenomenon and convergence were also analyzed by the contribution of the phase portrait. As the phase portrait depicted, the sky-hook controller, a weakly nonlinear system, could be approximated by the equivalent linear approximate model. However, the proposed controller, the sky-hook sliding mode controller, is a strongly nonlinear system, which could not be linearized by the regular perturbation theory, and the criterion is given by the phase portrait. The experiment results showed good agreement with the simulation results, and some other matters encountered were also analyzed in the process of application.

A New Iterative Identification and Control Method of Closed-Loop Power System Based on Ambient Signals

2015 ◽  
Vol 798 ◽  
pp. 261-265
Author(s):  
Miao Yu ◽  
Chao Lu
Keyword(s):  
Power System ◽  
Closed Loop ◽  
Control Method ◽  
Controller Design ◽  
Design Method ◽  
Stability Margin ◽  
System Stability ◽  
Iterative Identification ◽  
Effective Performance ◽  
And Control

Identification and control are important problems of power system based on ambient signals. In order to avoid the model error influence of the controller design, a new iterative identification and control method is proposed in this paper. This method can solve model set and controller design of closed-loop power system. First, an uncertain model of power system is established. Then, according to the stability margin of power system, stability theorem is put forward. And then controller design method and the whole algorithm procedure are given. Simulation results show the effective performance of the proposed method based on the four-machine-two-region system.

scholarly journals Sliding Mode Based Control of Dual Boost Inverter for Grid Connection

Energies ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 4241 ◽  
Author(s):  
Diana Lopez-Caiza ◽  
Freddy Flores-Bahamonde ◽  
Samir Kouro ◽  
Victor Santana ◽  
Nicolás Müller ◽  
...  
Keyword(s):  
Control Method ◽  
Controller Design ◽  
Sliding Mode ◽  
Current Control ◽  
Voltage Step ◽  
Control Loops ◽  
Voltage Ratio ◽  
Grid Connection ◽  
Resonant Controller ◽  
Laboratory Prototype

Single-stage voltage step-up inverters, such as the Dual Boost Inverter (DBI), have a large operating range imposed by the high step-up voltage ratio, which together with the converter of non-linearities, makes them a challenge to control. This is particularly the case for grid-connected applications, where several cascaded and independent control loops are necessary for each converter of the DBI. This paper presents a global current control method based on a combination of a linear proportional resonant controller and a non-linear sliding mode controller that simplifies the controller design and implementation. The proposed control method is validated using a grid-connected laboratory prototype. Experimental results show the correct performance of the controller and compliance with power quality standards.

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