Longitudinal Control of Automotive Vehicles in Close-Formation Platoons

1991 ◽  
Vol 113 (2) ◽  
pp. 231-241 ◽  
Author(s):  
S. E. Shladover
Keyword(s):  
Control System ◽  
Simulation Model ◽  
Control Systems ◽  
System Performance ◽  
Measurement Noise ◽  
Longitudinal Control ◽  
Nonlinear Simulation ◽  
Quantitative Results ◽  
External Forces ◽  
Technical Considerations

The capacity and safety of freeways can potentially be increased substantially if the vehicles are operated in platoons, using automatic longitudinal control systems to maintain very small spacings (of the order of 1 meter) between vehicles. This paper explains many of the technical considerations in the design of such control systems, employing a general nonlinear simulation model to develop quantitative results. The effects on control system performance of external forces, process and measurement noise, and sampling and quantization of measurements are shown. The importance of acceleration and jerk limits is demonstrated, and examples are used to illustrate how the control system must be designed to accommodate variations in the severity of the maneuvers it is expected to execute, as well as variations in propulsion system dynamics.

Predictive Capabilities of Nonhuman Operators in a Manual Control System

1980 ◽  
Vol 51 (3) ◽  
pp. 759-764 ◽  
Author(s):  
Robert J. Jaeger
Keyword(s):  
Control System ◽  
Control Systems ◽  
System Performance ◽  
Rhesus Monkeys ◽  
Input Data ◽  
Manual Control ◽  
Manual Control System ◽  
System Input

The requirement for a credible monkey-man extrapolation in the area of manual control systems led to the investigation of the predictor-operator phenomenon in rhesus monkeys performing in a manual control system. Two monkeys were trained to proficiency in a single-axis visual compensatory manual control system using a random (unpredictable) system input. Data were obtained for system performance in the random case. The system input was then changed to pure sinusoidal (predictable). Data were obtained for the sinusoidal case and compared with data for the random case. Unlike humans, monkeys were not able to improve system performance in the predictable versus unpredictable case.

A Low Sensitivity, Modern Approach to the Longitudinal Control of Automated Transit Vehicles

1974 ◽  
Vol 96 (2) ◽  
pp. 218-228 ◽  
Author(s):  
S. C. Yang ◽  
W. L. Garrard
Keyword(s):  
Control System ◽  
Dynamic Response ◽  
System Performance ◽  
State Vector ◽  
Operating Conditions ◽  
Longitudinal Control ◽  
Modern Approach ◽  
Wide Range ◽  
Low Sensitivity ◽  
Sensitivity Vector

Modern control and estimation techniques are applied to the design of longitudinal controllers for automated transit vehicles. The sensitivity of dynamic response to changes in vehicle parameters and the effects of noisy sensors on control system performance are studied. A method for sensitivity reduction by augmentation of the state vector with the sensitivity vector is proposed and low sensitivity design is developed which provides excellent dynamic response over a wide range of operating conditions and vehicle parameters.

Simulation and Dimensional Analysis of a Stepping Extremum Control System

1969 ◽  
Vol 2 (1) ◽  
pp. T6-T12
Author(s):  
O. L. R. Jacobs
Keyword(s):  
Computer Simulation ◽  
Control System ◽  
Control Systems ◽  
Dimensional Analysis ◽  
Discrete Time ◽  
Quantitative Information ◽  
Measurement Noise ◽  
Control Law ◽  
Output Measurement ◽  
Single Input

The paper describes a digital computer simulation of a class of discrete-time, single-input, stepping extremum control systems with input disturbance and output measurement noise and with an easily instrumented control law. The results of the simulation provide both design equations and quantitative information about the best results that can be achieved with the class of systems considered. Two features of the simulation that are of interest are an automatic procedure that is used to reduce statistical errors to a specified level, and the use of dimensional analysis to reduce the number of variables that need be considered to two.

Research on the Simulation Model for Longitudinal Control Channel of FCS Based on PC

2013 ◽  
Vol 756-759 ◽  
pp. 564-568
Author(s):  
Qing Li ◽  
Wei Yang ◽  
Zhao Xie Huang
Keyword(s):  
Control System ◽  
Simulation Model ◽  
Flight Control ◽  
Control Channel ◽  
Control Parameters ◽  
Flight Control System ◽  
Longitudinal Control ◽  
Control Structures ◽  
Control Rules ◽  
Classical Control

According to the analysis of control structures of the two typical control modes-pitch control and height control, the simplified control rules for the two special control systems are presented. Under the condition of enduring the real-time property and fidelity, the classical control theory is applied to study the control parameters selecting of the flight control system (FCS) based on PC modeling traits. The selecting process of control parameters of longitudinal control channel is analyzed and the simulation resources are simplified. The simulation model is achieved. The steps are summarized for the simulation modeling of longitudinal control channel of the flight control system, and the corresponding flow chart based on PC is also given.

scholarly journals Synthesis of Digital Two-Circuit Control Systems With Dynamic Correction for Arm Manipulator

2019 ◽  
pp. 106-107
Author(s):  
Marko Klepach ◽  
Ivan Kovela ◽  
Serhiy Kovela ◽  
Volodymyr Drevetskiy
Keyword(s):  
Control System ◽  
Simulation Model ◽  
Control Systems ◽  
Dynamic Correction ◽  
Parametric Synthesis

The method of multicriterial parametric synthesis of two-circuit systems with discrete controllers in the space of parameters of their adjustment, including periods of discreteness of system contours is offered. The example that proves the effectiveness of this method was shown. The developed control system was applied to the simulation model of arm manipulator

Anti-Windup Control of Second-Order Plants With Saturation Nonlinearity

1993 ◽  
Vol 115 (4) ◽  
pp. 715-720 ◽  
Author(s):  
Ming C. Leu ◽  
Sangsik Yang ◽  
Andrew U. Meyer
Keyword(s):  
Control System ◽  
Control Systems ◽  
Real World ◽  
System Performance ◽  
Function Method ◽  
Second Order ◽  
Describing Function ◽  
Saturation Nonlinearity ◽  
Integral Action ◽  
Describing Function Method

All real-world control systems have saturation nonlinearity in final control elements (including actuators). When controllers involve integral action, reset windup can cause instability as well as make system performance unsatisfactory. Based on the describing function method and the generalized Popov criterion, this paper presents analysis of the global stability of a control system having a saturating second-order plant, both with and without using a deadbeat limiting scheme to constrain its controller output. The improvement of system performance by incorporating the anti-windup feature in the controller is illustrated by computer simulations.

Research on Elevator Group Control Uncertainty

2014 ◽  
Vol 602-605 ◽  
pp. 874-877
Author(s):  
Dong Mei Yan ◽  
Li Liu
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Control Theory ◽  
Simulation Model ◽  
Control Systems ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Inference System ◽  
Group Control ◽  
Elevator Group Control

Uncertainties elevator group control systems are analyzed first in this paper according to the fuzzy control theory and characteristics of the elevator group control system. Then, simulation model of elevator group control system is built using fuzzy inference system with Matlab. Operation of elevator group control system based on fuzzy control system is shown by simulation.

An Evaluation of Solar Domestic Hot Water Control Systems

1984 ◽  
Vol 106 (2) ◽  
pp. 235-239
Author(s):  
R. Farrington
Keyword(s):  
Control System ◽  
Control Systems ◽  
System Performance ◽  
Laboratory Tests ◽  
Hot Water ◽  
Space Heating ◽  
Water Control ◽  
Exposure Test ◽  
Domestic Hot Water ◽  
Active Space

Literature on solar domestic hot water (SDHW) control systems was reviewed to assess results of control system performance and reliability. Seven SDHW control systems underwent six laboratory tests: a sensor temperature response characterization, a sensor stagnation test, a controller function test, a controller vibration test, a controller environmental exposure test, and a controller inspection and high-potential test. Both the literature review and the testing indicate serious concerns with SDHW control system performance and reliability. The results of the laboratory tests included failure of 9 of 15 thermistors due to stagnation conditions, drifting of sensor response, differentials strongly dependent on the system temperature, electronic failure caused by high ambient temperatures and humidity, and the failure of the equipment to meet published specifications. Because of these problems, a control system could operate the pump when the storage tank is warmer than the collector. Because control systems for SDHW systems and active space heating systems are similar, many of the results presented here can be extrapolated to apply to active space heating control systems as well.

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