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Apparatus for controlling a land vehicle which is self-driving or partially self-driving

A technology for autonomous driving, land vehicles, applied in control devices, vehicle components, fuzzy logic-based systems, etc., and can solve problems such as seldom satisfied, controller performance degradation, and actuator parameter uncertainty.

Active Publication Date: 2015-12-23
MASSIVE ANALYTIC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This assumption is rarely satisfied in practice because actuator parameters may also have uncertainties due to input failures such as mechanical and electrical
Adaptive control in the presence of actuator uncertainty is not considered, even if this uncertainty leads to significant degradation of controller performance

Method used

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  • Apparatus for controlling a land vehicle which is self-driving or partially self-driving
  • Apparatus for controlling a land vehicle which is self-driving or partially self-driving
  • Apparatus for controlling a land vehicle which is self-driving or partially self-driving

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Embodiment Construction

[0036] Referring to the accompanying drawings, non-linear vehicle autonomous driving dynamics may be highly non-linear and "fuzzy" in nature. APACC uses a fuzzy logic circuit ( figure 2 The "cognitive" output of the fuzzifier in ) is fed to the instantaneous linearization of the nonlinear model. It is similar to GPC in most respects, except that the instantaneous linearization of the output of the fuzzy logic circuit results in an adaptive linear regression model.

[0037] A key benefit of fuzzy logic is that it lets designers describe desired system behavior in simple "if-then" relationships. In many applications, this results in simpler solutions in less design time. In addition, designers can use all available engineering know-how to directly optimize system performance. While this is certainly an advantage of fuzzy logic, it has always been a major limitation. In many applications, knowledge describing the desired system behavior is contained in datasets. Here, desig...

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PUM

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Abstract

Apparatus for controlling a land vehicle which is self-driving or partially self-driving, which apparatus comprises a coarse tuning assembly (1, 2, 3) and a fine tuning assembly (4), the coarse tuning assembly (1, 2, 3) being such that It comprises: a. a sensor interface (1) which measures kinematic parameters including speed and braking, b. fuzzy descriptions to model guidance, navigation and control of the vehicle, the fuzzy descriptions including: (i) driver behaviour and driving dynamics, (ii) uncertainties due to the environment including weather, road conditions and traffic, and (iii) input faults including mechanical and electrical parts, and c. an adaptive fuzzy logic controller (3) for nonlinear MIMO systems (2) with subsystems which comprise fuzzification, inference, and output processing, which comprise both type reduction and defuzzification, and which provide stability of a resulting closed-loop system, the adaptive fuzzy logic controller (3) including: (i) inference engine identifying relationships using a rule base and outputs as 'fuzzy sets' to a type reducer, and (ii) output control demands including torque actuators to the fuzzyfier 'fuzzyfiying' the signal, and the fine tuning assembly (4) being such that it comprises: a. inputs from the coarse tuning assembly (1, 2, 3), b. precognition horizons determining how many future samples the objective function considers for minimization and the length of the control sequence computed, c. a linearized MIMO regression model extracted from the adaptive fuzzy logic controller (3) at each time step providing the 'fine' tuning parameters, and d. a non-linear dynamic linearized regression controller (4a) providing: (I) a crisp output signal feeding into APACC synthesis (4b) computing the optimal future vehicle guidance, navigation and control sequence, and (II) reduced set output and APACC synthesis (4b) feeding into the APACC linear logic system.

Description

technical field [0001] The present invention relates to a control device, and more particularly to a device for controlling an autonomous or partially autonomous land vehicle. Background technique [0002] The implementation of autonomous or partially autonomous vehicles is complex and depends on the level of human driver involvement. Requirements include support for lane-keeping and warning systems, adaptive cruise control, backup alerts, and parking aids. Advanced Driver Assistance Systems (ADAS), Light Detection and Ranging (LIDAR), and Dedicated Short Range Communications (DSRC) in real-time vehicle-to-vehicle communication are just some of the known technologies under development. These technologies are designed to enable cars to calculate the 3D geometry of any situation from images in real time and react to their surroundings. ADAS, for example, uses a combination of advanced sensors such as stereo cameras and long and short range RADARs combined with actuators, con...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B60W30/12B60W30/16B60W50/00B60W30/18G05D1/02
CPCB60W30/12B60W30/16B60W30/18163B60W2050/0004B60W2050/0006B60W2050/0029B60W2050/0031G06N7/023B60W2556/45B60W60/001
Inventor G·J·弗兰果
Owner MASSIVE ANALYTIC
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