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Autonomous tracking intelligent vehicle based on expert system control algorithm

An expert system and control algorithm technology, applied in non-electric variable control, control/regulation system, two-dimensional position/channel control, etc., can solve the problems that PID control algorithm cannot meet the requirements and precision control, etc., and achieve improvement Stability and controllability, accuracy assurance, and the effect of perfecting the control algorithm

Inactive Publication Date: 2019-01-15
SHANGHAI DIANJI UNIV
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AI Technical Summary

Problems solved by technology

However, if there is a more accurate model and the requirements for control performance are relatively high, the PID control algorithm cannot meet the requirements.
For smart car control, the PID control algorithm can no longer meet the needs of its precision control

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  • Autonomous tracking intelligent vehicle based on expert system control algorithm

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Embodiment Construction

[0021] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0022] see figure 1 , an autonomous tracking smart car based on an expert system control algorithm according to the present invention, the expert system includes a P&S-PWM mode knowledge base, a P&S-PWM mode inference engine, a P&S-PWM knowledge acquisition interface, and a working path The memory area and the user interface, with the P&S-PWM mode inference engine as the core, are respectively interactively connected to the P&S-PWM mode knowledge base, the P&S-PWM knowledge acquisition interface, the passed path working memory area and the user interface, among which the passed path working memory area and The P&S-PWM mode knowledge bases are interactively connected, and the P&S-PWM knowledge acquisition interface is unidirectionally connected to ...

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Abstract

The invention discloses an autonomous tracking intelligent vehicle based on an expert system control algorithm. The expert system comprises a P&S-PWM mode knowledge base, a P&S-PWM mode inference engine, a P&S-PWM knowledge acquisition interface, an already passed path working memory area and a user interface, an interactive connection is formed with the P&S-PWM mode knowledge base, the P&S-PWM knowledge acquisition interface, the already passed path working memory area and the user interface by using the P&S-PWM mode inference engine as the core, wherein the already passed path working memoryarea is in interactive connection with the P&S-PWM mode knowledge base, and the P&S-PWM knowledge acquisition interface is in one-way connection with the P&S-PWM mode knowledge base. The data required by the expert system control algorithm of the autonomous tracking intelligent vehicle disclosed by the invention are obtained from a large number of actual tests and experimental measurements, thereby ensuring the accuracy of the data, and ensuring more stable and reliable actual driving of an intelligent vehicle. The invention aims at perfecting the control algorithm of the autonomous trackingintelligent vehicle, improving the stability and the controllability of the intelligent vehicle, and achieving a high-precision intelligent function of the intelligent vehicle.

Description

technical field [0001] The invention relates to the technical field of smart car systems, in particular to an autonomous tracking smart car based on an expert system control algorithm. Background technique [0002] At present, the algorithms commonly used in intelligent vehicle control include the following: incremental and displacement PID control algorithms; fuzzy PID control algorithms; robust algorithms and so on. The PID control algorithm is more suitable for low-order LTI systems, especially those below the third order. To be exact, single-input-single-out, below three-stage, LTI system. The PID algorithm provides three parameter degrees of freedom, depending on the specific situation, some systems are enough for three, some even only need two, or even one. The PID control algorithm is either suitable for high-order systems, but it can be controlled in cascade, or it is a vertical cascade system itself, and each level is below the third order. However, if there is a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05D1/02
CPCG05D1/0221G05D1/0223G05D1/0229
Inventor 唐明斌曹金良邹文辉马跃颜怡婷李星明梁一鸣马畅
Owner SHANGHAI DIANJI UNIV