Speed Control Model Research Articles

Anticipatory speed control model applied to intersection left turns

This paper presents a new speed control model applicable to real-world driving. It is developed for intersection left turns and is based on anticipated acceleration reference (AAR) inputs. This addresses combined visual anticipation of lateral and longitudinal accelerations for the approach to an intersection where both stopping and turning outcomes are possible. The relationship between the AAR and the resulting vehicle accelerations are studied for both stopping and turning events using naturalistic driving data. A closed-loop model is developed, including braking to rest when the left turn is not attempted and for the turn and exit stages when it is. Parameter ranges are estimated, and as a demonstration of model applicability, Monte Carlo simulations are conducted to generate representative left turns using a full simulation model. Extension of the AAR model to other speed control problems, for example, driving on curved roads, is also discussed.

Investigation on Machinery Control System Based on Fuzzy PID Control Technology

This review gives the basic concept、mechanism、and algorithm of automatic controlling theory，puts forward some views for the design of automatic control system，designs a new model for the rotational speed control of the stepping electrical machine.

Automatic Speed Control Algorithm Study Based on Fuzzy-Predictive Control Logic

In order to solve the state control problems of the train automatic speed control system, improve the efficiency of the train automatic speed-control and reduce the state switching transition, a kind of train automatic speed control algorithm has been proposed. Based on the fuzzy-predictive control logic, use the formal method, design the state control mechanism, and build the automatic speed-control system model. Using anti-interference design, the data analysis and the simulation test have been accomplished. And the results show that the algorithm is feasible.

The Study of Maximum Power Point Tracking Control for DFIG based on PSCAD

In recent years, wind power has been developed rapidly. Doubly fed induction generator becomes the main model of wind power become the mainstream due to its high wind energy utilization efficiency and reactive power controllability. On the basis of analyzing the principle and mathematical model of DFIG, dual-loop control system based on the stator flux oriented vector control of DFIG was established, and active and reactive power decoupling control is realized. This paper shows speed control model and power control model which are control modes of the maximum wind power point tracking (MPPT). Simulation results show the control system has good performance and power control mode is more practical and stable than speed control mode.

Design Theory for Speed Control Based on Visual Rhythm for Long Stretches of Freeway

This paper analyzed the expressive form and the formation principle of driver’s visual rhythm in the process of driving. Combined with the design model for speed control in straight line section, it proposed the design theory for speed control for long stretches of freeway by using the feature of visual rhythm. Using the 3Ds MAX, the video simulating car moving process on the long stretches of freeway was made in which visual rhythm was a key manipulative parameter. The SSES (Stimulation of Subjectively Equal Speed) was the index of this simulation experiment. Seven males and three females took part in the experiments. The demonstration experiment indicated that the design theory based on visual rhythm can ensure participants regularly maintain a high SSES.

Study on Driving Deceleration Model on Horizontal Curve Sections of Mountain Highways

Mountain highways are traffic accident-prone locations. Such factors as vehicle speed and trajectory hold a considerable proportion in the accidents. Highway line features is the basis to determine vehicle speed. In this paper, the running speed of vehicles on mountain highways is taken as the main object of study and the observation and survey data on vehicles deceleration behaviors before they enter a curve on the curved sections of mountain highways are taken as the reference object to establish the drivers driving speed control model on the horizontal curve sections of mountain highways, and an example is used to conduct comparative validation on the driving deceleration model. Calculation results show that the deceleration control model established in this paper is feasible and effective, can better simulate vehicles deceleration behaviors when they pass through speed limit signs or the sections with road surface deceleration signs and provides a new theoretical method and guiding basis for the line features design, traffic safety analysis and evaluation and traffic safety improvements of mountain highways.

The Analysis of Overtaking of Whole Wheel Steering In-Phase of Multi-Axle Vehicle

With in-phase steering, there might be some change at the driving performance of multi-axle vehicle. A five-axle vehicle model has been built with ADAMS software, and the control strategy has been built with Simulink software. The driver steering and speed control model with variable ratio was built. The comparative overtaking simuliation of whole wheel steering and only first two-axle wheels steering was processed. With the simulation, it can be found that, in the same movement track cases, comparing to the only first two-axle steering now used in vehicles, with in-phase whole wheel steering, the angle of steering wheel became smaller, the centroid yaw-rate was reduced, and vehicle movement track was closer to target track. The manipulation performance of vehicle was improved, and the labor intensity of the driver.was reduced. This provides a certain amount of theoretical research for the multi-axle steering vehicle control.

Study on Online Intelligent Control of Cutting Vibration in Milling Process

To realize online and real-time suppressing vibration amplitude in milling, an open architecture intelligent controller is designed and developed, which is modular and can achieve machining parameters' online adjustment based on acceleration constraint condition. According to the idea of the velocity control, a spindle speed control model is constructed. This controller can realize both the right codes translation and assume the effective coordination and synchronization among the thread of adaptive control, interface display and interpolation and so on. A series of fuzzy control rules have been designed to reduce the vibration amplitude about stepped-weir work-piece, and some actual experiments based on acceleration constraints have been also completed. The results show the open architecture variable spindle speed controller can be used in the practical machining, and the spindle speed can realize online real-time adjustment based on the acceleration constraint condition. All these technologies can effectively suppress the cutting vibration, which protect the machine and work-piece tool system.

Mathematical Modeling of Average Driver Speed Control with the Integration of Queuing Network-Model Human Processor and Rule-Based Decision Field Theory

Quantitative prediction and understanding of driver speed control is important to prevent speeding behavior and design vehicle systems. Speed control is a complex behavior of driver longitudinal vehicle control, involving speed perception, decision making (setting a target speed), motor control (foot movement for pedal control), and vehicle mechanics. However, few of existing models is able to cover all of these important aspects together. To address this problem, the current work built a new mathematical driver speed control model with analytical solutions based on rigorous understanding of human cognitive mechanisms in driving, integrated Queuing Network-Model Human Processor (QN-MHP, which already modeled driver lateral control) structure and Rule-Based Decision Field Theory (RDFT), and offered a relatively complete picture of driver speed control in free-flow driving settings. This new model can provide predictions with regard to driving speed, pedal angle and acceleration for average driver.

Study on self-tuning pole assignment speed control of an ultrasonic motor

Ultrasonic motors have a heavy nonlinearity, which varies with driving conditions. The nonlinearity is a problem as an accurate motion actuator for industrial applications and it is important to eliminate the nonlinearity in order to improve the control performance. In general, complicated control strategies are used to deal with the nonlinearity of ultrasonic motors. This paper proposes a new speed control scheme for ultrasonic motors to overcome the nonlinearity employing a simplified self-tuning control. The speed control model which can reflect the main nonlinear characteristics is obtained using a system identification method based on the step response. Then, a pole assignment speed controller is designed. To avoid the influence of the motor’s nonlinearity on the speed control performance, a control parameters’ on-line self-tuning strategy utilizing the gain of the model is designed. The proposed control strategy is realized using a DSP circuit, and experiments prove the validity of the proposed speed control scheme.

Optimal Power Control Model of Direct Driven PMSG

In order to analyze the performances of direct driven PMSG, an optimal power control model which includes maximum power extraction control model under low wind speed and pitch angle control model under high wind speed is established. The concept of the model is analyzed in a 1.5 MW direct drive variable speed permanent magnet synchronous generator (D-PMSG) WECS with back-to-back IGBT frequency converter. Vector control of the generator side rectifier is realized in the grid voltage vector reference frame. Confirmation of models and control schemes is demonstrated by using the EMTDC/PSCAD environment.

Design of Embedded Hybrid Fuzzy-GA Control Strategy for Speed Control of DC Motor: A Servo Control Case Study

paper, DC motor speed control models were mathematically extracted and implemented using artificial intelligence techniques. Due to multivariable and non-linear in nature, it is difficult to achieve the optimum speed of the motor. Conventional PI controller gives the maximum overshoot problem. To overcome the maximum overshoot, artificial intelligence techniques have been incorporated in the controller architecture. Fuzzy logic controlled model of DC motor is implemented, investigated and further optimised by the genetic algorithm for the optimal fuzzy rule base. Digital signal processor TMS320LF2407A is also tested to control the speed of servo motor. The transient time, steady state response and the performance criteria IAE and ITAE of the above controllers have been investigated. The result shows that the fuzzy logic- GA integrated approach has minimum overshoot, and minimum transient and steady state parameters, which shows the more effectiveness and efficiency of FLC-GA hybridisation than FLC and conventional PI model to control the speed of the motor.

Modeling of Wind Turbines Based on Doubly-Fed Induction Generators for Power System Stability Studies

This paper deals with modeling of the doubly-fed induction generator (DFIG) and the corresponding converter for stability studies. To enable efficient computation, a reduced-order DFIG model is developed that restricts the calculation to the fundamental frequency component. However, the model enhancement introduced in this paper allows the consideration of the alternating components of the rotor current as well, which is necessary for triggering the crowbar operation. Suitable models are presented for the rotor and grid side converters as well as the dc-link, taking into account all four possible operating modes. The proposed model for speed and pitch angle control can be used when wind and rotor speed variations are significant. Simulation results are presented for model verification purposes and also for demonstrating the dynamic behavior of a large offshore wind farm connected through a long undersea cable to the high voltage grid.

Analysis of Driver Characteristics in Speed Control Model

Analysis of Driver Characteristics in Speed Control Model

A quota-constrained, speed control model for production scheduling in semiconductor manufacturing

This paper presents a quota-constrained, speed control model for integrated production scheduling in a Semiconductor Manufacturing Chain (SMC). For each lot in the SMC, a production speed is tagged on it as its daily production target. The higher the speed is, the shorter cycle time production takes. As there are only limited resources at a time, a quota for each speed level is specified. Our objective for scheduling in an SMC is to satisfy customers' requirements in a just-in-time way, while satisfying all the speed quota limitation. The quota-constrained, speed control problem is formulated into an integer programming problem which is solved by the Lagrangian relaxation and the minimum-cost, linear network flow techniques. Numerical results indicate that the developed methodology can generate near-optimal schedules and can be applied efficiently to realistic problems.

A simplified Model for Speed Control of AC Voltage Controller Fed Induction Motor Drives

A simplified linearised incremental model of ac volatage controller fed induction motor drive is derived from the fifth order d-q axis model of the motor and is used for closed loop speed control application. It is shown that induction motor parameters vary widely as operating point changes. Simulation results are presented.

Predicting the effects of cellular-phone dialing on driver performance

Legislators, journalists, and researchers alike have recently directed a great deal of attention to the effects of cellular telephone (‘cell phone’) use on driver behavior and performance. This paper demonstrates how cognitive modeling can aid in understanding these effects by predicting the impact of cell-phone dialing in a naturalistic driving task. We developed models of four methods of cell-phone dialing and integrated these models with an existing driver model of steering and speed control. By running this integrated model, we generated a priori predictions for how each dialing method affects the accuracy of steering and speed control with respect to an accelerating and braking lead vehicle. The model predicted that the largest effects on driver performance arose for dialing methods with high visual demand rather than methods with long dialing times. We validated several of the model’s predictions with an empirical study in a fixed-based driving simulator.

Analysis of the dynamic behaviour of regenerative gas turbines

In this study, a model to simulate the dynamic operation of regenerative gas turbines is described and the transient behaviour of a small engine equipped with a stationary recuperator is presented. The mathematical model of each component consisted of unsteady one-dimensional governing equations and steady state component characteristics. The equation set derived was solved by using a fully implicit numerical method. A realistic control unit model for speed control was likewise introduced to simulate the operation of real engines. Special emphasis was given to the thermal inertia of the recuperator metal that governs the dynamic characteristics of the engine. The dynamic characteristics were examined for a couple of load change modes such as stepwise and periodic load variations. Characteristic transient responses were then investigated and the dependence of transient response on the frequency of load variation was demonstrated.

Vibration Reduction in Rolling Piston-Type Compressors through Motor Torque Control. Experimental Study on Control Effects.

In the previous paper, the authors proposed torque control systems that may be effective to reduce vibration of a rolling piston-type compressor for a room air conditioner. This paper deals mainly with the experimental results of the torque control systems. Two types of control models, a "rotational speed control model" and a "rotational acceleration control model" were used, and the stability and the transient response were discussed in comparison with the simulation. It was shown that the experimental results generally agreed well with the simulaion predictions, although the degree of actual Control effects was a slightly inferior because of detection errors and response lags in the actual control system. By comparing both control systems wlth each other, it was proven that the rotational acceleration control system is superior and can reduce the compressor chamber vibration in a stabler and faster response.

Modeling and Analysis of an Inherently Multi-Rate Sampling Fuel Injected Engine Idle Speed Control Loop

This paper develops a model for the idle speed control of a six cylinder electronically fuel injected, spark ignition engine. The inherently discrete microprocessor based fuel controller is not constrained to operate at the engine’s natural sampling rate, resulting in a hybrid (continuous-discrete) multi-rate system. A method for evaluating the stability of the system is developed.