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According to the nonlinear and parameter time-varying characteristics of vehicle stability control, a novel algorithm of vehicle stability adaptive PID control with single neuron network was proposed. Based on self-learning and adaptive ability of single neural network, the parameters of vehicle stability PID controller were self-tuning on-line and the problem of large computation time brought by...
In this article we study a two-level driver model composed of one anticipatory and one compensatory control. The anticipatory control, executed in an open loop, is based mainly on the standard linear equations for the lateral dynamics of the vehicle. The compensatory control, executed in a closed loop, uses N PID controllers for the correction of lateral deviation, and other N PID controllers for...
Aiming at the nonlinear and time-varying characteristics of freeway traffic system, a fuzzy self-adaptive PID controller is designed and applied to freeway ramp metering in this paper. A traffic flow model to describe the freeway flow process is firstly built. Based on the model and in conjunction with nonlinear feedback theory, a fuzzy-PID ramp controller is then designed. The ramp metering rate...
This paper presents the performance of different control approaches that consist of conventional, modern and intelligent controller that employed in a cruise control system. The cruise control system is one of the most enduringly popular and important laboratory models for teaching control system engineering. The system is widely used because it is very simple to understand and yet the control techniques...
The proposal of this paper is demonstrating the simplicity to develop a real control position action over a platform on mobile vehicle using two different discrete controllers. The mechanical structure is depicted and the range of work operation. The characterization is based on an accelerometer in the X axis. The mathematical analysis of these controllers, classic control discrete PID and the second...
The challenging task of designing an auto pilot for non linear time varying flexible flight vehicle system under conflicting design requirements requires a gain scheduled controller throughout the flight. But still the final solution is bound to end up in some compromises with proper gain scheduling. The switching from one gain to another gain value creates disturbances in the flight and therefore...
Aqua is an underwater biomimetic vehicle designed and built at McGill University that uses six paddles to produce control and propulsion forces. It has the particularity of having time-periodic thrust due to its oscillating paddles. Using an existing dynamics model of the vehicle and a numerical simulation, three types of controllers were developed to provide trajectory tracking capabilities to the...
A nonlinear control system that integrated active front steering system and vehicle dynamics control system based on a multi-body vehicle dynamic model is introduced in this paper. The multibody vehicle dynamic model based on ADAMS can accurately predict the dynamics performance of the vehicle. The control strategy consists of two control objectives (yaw velocity omega and sideslip angle beta). An...
The composition control method based on cerebellar model articulation controller (CMAC) and PID controller is proposed to regulate the number of vehicles entering a freeway entrance point. First, the freeway traffic flow dynamic model is built. Then the algorithm of the composition controller of CMAC and PID is formulated. In conjunction with nonlinear feedback theory, the on-ramp metering rate of...
Continuously variable transmissions (CVT) have received great interest as viable alternative to discrete ratio transmission in passenger vehicle. It is generally accepted that CVTs have the potential to provide such desirable attributes as: a wider range ratio, good fuel economy, shifting ratio continuously and smoothly and good driveability. With the introduction of continuously variable transmission...
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