Designing actuator controllers of aircraft, which control aileron, flap, elevator and so on, is quiet difficult, because they have time variant nonlinear mechanical structures and also have many kinds of disturbances which are not been able to model easily. This paper reports about the performance of Fuzzy Auto gain tuning Control algorithm applied unmaned aerial vehicle. Fuzzy Auto gain tuning PID control uses PID control and Fuzzy control, therefore It can be applied very easily and it also has advances of PID control. It can control a unmaned aerial vehicle actuators adaptively even though the designer does not have enough information of plant.
The leading automotive manufacturers have attempted to apply active brake systems to passenger and commercial vehicles. The ESC (electronic stability control) system helps drivers to maintain directional stability and control over steering and under steering. Previous studies on passenger vehicle ESC systems have mainly dealt with the control algorithm and evaluation results. In addition, few papers have considered bus and commercial ESC systems. Therefore, this study proposed a method for estimating the desired yaw rate using the already developed ESC system. The desired yaw rate is estimated from the steering wheel angle, vehicle speed, and vehicle parameters. This paper presents the results of a sine with dwell evaluation analysis of a large bus equipped with an ESC system. Through this process, we are able to estimate the ESC control strategy of the leading producer of commercial buses based on an air brake system. The bus ESC evaluation results can be used as a reference for the development of the ESC control algorithm.
The ROM (roll over mitigation) system is a next-generation suspension system that can improve vehicle-driving stability and ride comfort. Currently, mass-produced safety systems, such as ESC (electronic stability control) and ECS (electronic control suspension), enable measurements of longitudinal and lateral acceleration as well as yaw rate through inertial sensor clusters, but they lack direct measurements of the roll angle. Therefore, in this paper, a roll angle estimation algorithm from ESC system sensors and tire normal force has been proposed. Furthermore, this study presents a method for roll over mitigation force distribution between the front and rear of a ROM system. Performance and reliability of the roll angle estimation and roll over mitigation force distribution were investigated through simulations. The simulation results showed that the proposed control algorithm and strategy are reliable during vehicle rollovers.
This paper describes the development process and results of a battery system model with a fault simulation for electric propulsion vehicles. The developed battery system model can be used to verify control and fault diagnosis strategies of the supervisory controller in an electric propulsion vehicle. To develop this battery system model, three sub-models, including a battery model, a relay assembly model, and a battery management system (BMS) model, are connected together like in the target real battery system. Comparison results between the real battery system hardware and the battery system model show a similar tendency and values. Furthermore, the fault injection test of the model shows that the proposed battery system model can simulate a failure situation consistent with a real system. It is possible for the model to emulate the battery characteristics and fault situation if it is used in the development process of a BMS or for supervisory control strategies for electric propulsion systems.
This paper presents a control method of torque distribution for Four Wheel Drive (4WD) vehicles. The 4WD system is a device which distributes optimal torque between front and rear propeller shafts to improve traction ability and stability of a vehicle. This paper proposes the control algorithm for the vehicle which is equipped with the electronic controlled 4WD system to improve traction ability. In this paper, Sliding Mode Control (SMC) strategy by vehicle dynamics analysis is presented. The first SMC control the front wheels torque to minimize the difference between front and rear wheel speed. The second SMC control the engine torque to reduce the slip of each wheel and to improve the fuel economy. The traction performance and the fuel economy of the proposed SMC strategy are validated by vehicle simulation using MSC's CarSim ® .
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