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Urban expressway entrance ramp model-free adaptive control method

A model-free self-adaptive and control method technology, applied in traffic signal control, traffic flow detection, etc., can solve problems such as system transition time and adjustment time lengthening, data loss, affecting system speed and accuracy, etc., to achieve structural Simple, the effect of improving the convergence speed

Inactive Publication Date: 2018-01-26
HENAN POLYTECHNIC UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Although the model-free adaptive control method does not depend on the precise model of the system, and can suppress the uncertain disturbance of the external environment, in some cases, data loss will occur, which will make the transition time and adjustment time of the system longer and affect the system. speed and accuracy

Method used

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  • Urban expressway entrance ramp model-free adaptive control method
  • Urban expressway entrance ramp model-free adaptive control method
  • Urban expressway entrance ramp model-free adaptive control method

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Embodiment 1

[0018] see figure 1 , figure 2 , the present invention has the model-free self-adaptive control method of urban expressway entrance ramp with data compensation, at first, establishes the controlled process that takes entrance ramp flow rate as control input quantity, traffic flow density as output quantity; It is different from prior art yes:

[0019] In the process of model-free adaptive control of urban expressway entrance ramps, the traffic flow density is detected in real time, and when the collected traffic flow density is stored and transmitted, it is judged whether the traffic flow density data is lost. When no data is lost, use The traffic flow information at the current moment and the on-ramp flow are used to correct the on-ramp flow at the next moment to control the traffic flow density; when the controller detects that there is data loss, it first uses the estimated value to compensate the traffic flow density data, And store it in the controlled quantity memory,...

Embodiment 2

[0022] see figure 1 , figure 2 , the model-free adaptive control method of urban expressway entrance ramp with data compensation in this embodiment is realized through the following steps: Generally, the macroscopic traffic flow model of urban expressway is as follows:

[0023]

[0024] q i (k) = ρ i (k)v i (k) (2)

[0025]

[0026]

[0027] where ρ i (k), r i (k), s i (k), v i (k), L i represent the traffic flow density, on-ramp flow, external disturbance, average speed and length of expressway section i respectively, v free , ρ jam denote the free-flow velocity and the maximum possible density of a single lane, respectively.

[0028] According to the model-free adaptive control theory, the macro-traffic flow model of the expressway is transformed into the following data model:

[0029] Δρ i (k+1)=φ i,c (k)Δr i (k) (5)

[0030] Among them, Δρ i (k+1)=ρ i (k+1)-ρ i (k), Δr i (k)=r i (k)-r i (k-1), φ i,c (k) is a time-varying parameter called ps...

Embodiment 3

[0047] see figure 1 , figure 2 In this embodiment, the on-ramp model-free adaptive control method with data compensation is different from Embodiment 2 in that it includes:

[0048] Step 1), system dynamic linearization: convert the dynamic linearization of the expressway traffic flow system into a data model:

[0049] Δρ i (k+1)=φ i,c (k)Δr i (k);

[0050] Step 2), control process initialization:

[0051] Step 2-1) Initialize the control quantity, given the on-ramp flow r at the initial moment i (0);

[0052] Step 2-2) Set the expected value ρ of traffic flow density i,d (k), set the initial traffic flow density ρ i (0);

[0053] Step 3), real-time detection and collection of the traffic flow density ρ of the expressway traffic system at time k i (k) and store it, and judge whether the system traffic flow density is lost during the transmission process, if there is no loss, α(k)=1, If missing, α(k)=0, in

[0054] Step 4), the traffic flow density ρ at time ...

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Abstract

The invention relates to urban expressway entrance ramp traffic flow control, and provides an urban expressway entrance ramp model-free adaptive control method. The method includes: firstly, establishing a controlled process by regarding an entrance ramp flow as a control input quantity and a traffic flow density as an output quantity; detecting the traffic flow density in real time, determining whether traffic flow density data is lost, correcting the entrance ramp flow of the next moment by employing traffic flow information and the entrance ramp flow of the current moment if not, and rapidly realizing control of the traffic flow density as time goes by; when a controller detects data loss, firstly, compensating the traffic flow density data by employing an estimated value, storing the data in a controlled quantity memory, calculating an error of the density, storing the error in an error margin memory, and further correcting a control scheme; and finally, establishing a control lawto calculate the entrance ramp flow, improving the current control scheme through data compensation, and realizing the control of the traffic flow density by employing the corrected control scheme.

Description

technical field [0001] The invention relates to a traffic flow control method for an urban expressway entrance ramp, in particular to a model-free adaptive control method for an urban expressway entrance ramp with data compensation. Background technique [0002] With the rapid development of the national economy, the traffic problems of urban roads are becoming more and more serious, and traffic congestion has become a major problem faced by the traffic in big cities. In order to alleviate traffic pressure and improve traffic congestion, it is necessary to control the expressway traffic system. At present, the main difficulties in realizing the control of the traffic system are as follows: First, due to the complex mechanism of the expressway traffic system, which presents the characteristics of high nonlinearity, large lag and time-varying uncertainty, it is difficult to establish an accurate model of the system, so the method based on Model control method, it is difficult...

Claims

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Application Information

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IPC IPC(8): G08G1/07G08G1/01
Inventor 卜旭辉王森崔立志许漂漂王清峰
Owner HENAN POLYTECHNIC UNIV
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