Development of Active Idle Stop System for Automotive Vehicle During Uphill Driving

This manuscript discusses the Active Idle Stop (AIS) system for a passenger vehicle system which is used to improve the dynamic performance of the vehicle when traveling uphill. The AIS function is developed mainly to improve the drawback in the existing vehicle system when driving uphill. Vehicles face unwanted deceleration and rollback when they are started on an incline. In this study, a control strategy using a Proportional-IntegralDerivative controller is used to improve the deceleration and rollback conditions during an idle stop on an uphill road gradient. A nonlinear vehicle longitudinal model has been used as the testing platform for the AIS function. Meanwhile, an optimization tool known as the Genetic Algorithm is used to improve the controller parameters according to the desired response of the vehicle. Based on the simulation results, it is possible to improve the vehicle’s performance using the AIS system to improve the rollback effect where the deceleration effect on the vehicle is reduced significantly

Validation and Experimental Evaluation of Magnetorheological Brake-by-Wire System

Magnetorheological brake is one of x-by-wire system which is performing better than conventional brake system. MR brake consists of a rotating disc that is immersed with magnetorheological fluid in an enclosure of an electromagnetic coil. The applied magnetic field will increase the yield strength of the MR fluid where this fluid was used to decrease the speed of the rotating shaft. The purpose of this paper is to develop a mathematical model to represent MR brake with a test rig. The MR brake model is developed based on actual torque characteristic which is coupled with motion of a test rig. Next, the experimental are performed using MR brake test rig and obtained three output responses known as angular velocity response,torque and load displacement. Furthermore, the MR brake was subjected to various loads and current. Finally, the simulation results of MR brake model are verified with experimental results

Sliding Mode Controller of Automatic Braking System

This paper presents the development of automatic braking system. The brake modeling that consists of brake pedal mechanism, static control valve, air flow dynamic, variable orifice modeling and brake system hydraulic was developed using a MATLAB SIMULINK software. Then, the braking system will be controlled by using a Sliding Mode Controller (SMC) and PID controller. The result obtained will be validated with the brake torque desired for 100 N.m and 50 N.m. of various frequency. Validation results showed that controller has a better performance compared to the PID controller

IDENTIFICATION OF INTELLIGENT CONTROLS IN DEVELOPING ANTI-LOCK BRAKING SYSTEM

This paper presents about the development of an Antilock Braking System (ABS) using quarter vehicle model and a control structure is developed to represents an ABS and conventional braking model. Different type of controllers is proposed to develop the ABS model. Antilock braking system (ABS) is an important part in vehicle system to produce additional safety for driver. This system is known as one of the automobile’s active safety. In general, Antilock braking systems have been developed to reduce tendency for wheel lock and improve vehicle control during sudden braking especially on slippery road surfaces. In this paper, to deal with the strong nonlinearity in the design of ABS controller, an intelligent controller has been identified. The controllers such as PID and Fuzzy Logic are proposed to control the stopping distance and longitudinal slip of the wheel. Comparison results between these two controllers generated using Matlab SIMULINK

DEVELOPMENT OF ANTILOCK BRAKING SYSTEM USING ELECTRONIC WEDGE BRAKE MODEL

The development of an Antilock Braking System (ABS) using a quarter vehicle brake model and electronic wedge brake (EWB) actuator is presented. A quarter-vehicle model is derived and simulated in the longitudinal direction. The quarter vehicle brake model is then used to develop an outer loop control structure. Three types of controller are proposed for the outer loop controller. These are conventional PID, adaptive PID and fuzzy logic controller. The adaptive PID controller is developed based on model reference adaptive control (MRAC) scheme. Meanwhile, fuzzy logic controller is developed based on Takagi-Sugeno technique. A brake actuator model based on Gaussian cumulative distribution technique, known as Bell-Shaped curve is used to represent the real actuator. The inner loop controls the EWB model within the ABS control system. The performance of the ABS system is evaluated on stopping distance and longitudinal slip of vehicle. Fuzzy Logic controller shows good performance for ABS model by reducing the stopping distance up to 17.4% compared to the conventional PID and Adaptive PID control which are only 7.38% and 12.08%

Simulation of an Active Front Bumper System for Frontal Impact Protection

This paper concerns the effectiveness of an active front bumper system to reduce the unwanted jerking of the vehicle during collision using magnetorheological (MR) damper. The mathematical model is developed using MATLAB 7.0 to simulate a collision between pendulum and the vehicle installed with an active front bumper system. This study also presents the performance characteristics of a MR damper for controllable bumper in the vehicle system. One of a promising candidate is the MR fluid undergoes significant instantaneous reversible changes in material characteristics when subjected to a magnetic field. The proposed damper is integrated with bellows to induce the flow motion which is operated under flow mode. The parameter is subjected to change based on situation of collision between pendulum and the vehicle model. For the situations which light and medium collision occurred, the mass of pendulum will be changed to 1/5 and 3/5 of vehicle mass respectively. For heavy collision, the mass of pendulum is set similar to the vehicle model mass. Acceleration and jerking of the vehicle model using passive damper and proposed skyhook controller system are investigated through simulation for light, medium and heavy collision. Simulation results show that an active front bumper system using skyhook controller is more effective compared to passive damper system during collision

Modelling and Control of seven DOF Ride Model Using Hybrid Controller Optimized By Particle Swarm Optimization

In this study, a seven degree of freedom (DOF) ride model of armored vehicle is employed in control system to control the vehicle ride performance especially in body acceleration, body pitch acceleration and body roll acceleration due to extreme road profile and disturbance using Hybrid control structure optimized by Particle Swarm Optimization (PSO) algorithm. The seven DOF ride model parameters are obtained from CARSIM software by selecting heavy vehicle High Mobility Multipurpose Wheeled Vehicle (HMMWV) as benchmark. The performance of the Hybrid control structure without optimization were compared to the performance of a simple PID control structure and passive 7 DOF vehicle ride model. Lastly, the performance of Hybrid control structure without optimization were compared to the performance of Hybrid control structure optimized by PSO algorithm

Modelling and force tracking control of hydraulic actuator for an active suspension system

This paper presents modelling and force tracking control of a non-linear hydraulic actuator applied in a quarter-car active suspension system. The controller structure of the active suspension system was decomposed into two loops namely outer loop and inner loop controllers. Outer loop controller is used to calculate the optimum target force to reject the effects of road disturbances, while, the inner loop controller is used to keep the actual force close to this desired force. The results of the study show that the inner loop controller is able to track well the target force ranging from sinusoidal to random functions of target force. The performance of outer loop controller also shows significant improvement in terms of body acceleration, body displacement and suspension displacement as compared to the passive suspension system

Active roll control suspension system for improving dynamics performance of passenger vehicle

This paper presents the roll moment rejection control of pneumatically actuated active roll control (ARC) suspension system for a passenger vehicle. The controller consists of the two controller loops namely inner loop controller to cancel out the unwanted weight transfer and outer loop controller to suppress both body vertical displacement and body roll angle using Fuzzy Logic Control. Two types of vehicle dynamics test are performed by simulation for the purposed control structure namely step steer test and double lane change test. The results of simulation show that the ARC system is able to significantly improve the dynamic performance of the vehicle compared with the passive system such as body roll angle, body roll rate, body vertical acceleration and body vertical displacement

Lateral suspension control of railway vehicle using semi-active magnetorheological damper

In railway vehicle technology, there are continuously increasing requirements regarding riding comfort, running safety, and speed of railway vehicles. These requirements are opposed by the fact that the condition of the tracks is getting worse and maintenance is becoming expensive. In view of this conflict, conventional suspension concepts are quickly at their limits. This paper investigates the performance of semi-active control of lateral suspension system namely body-based skyhook and bogie-based skyhook for the purpose of attenuating the effects of track irregularities to the body lateral displacement, body roll angle and unwanted yaw responses of railway vehicle. The controller is optimized on 17 degrees of freedom (DoF) railway vehicle dynamics model and showing better dynamics performance than its counterparts