Intelligent robust control system for motorcycle using soft computing optimizer

A technology of optimizer and soft computing, applied in the field of system of driving and maneuvering flexibility, which can solve the problem that it is difficult to store computing resources in KB

Inactive Publication Date: 2006-02-01
YAMAHA MOTOR CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Large KBs are difficult to store and require a relatively large amount of computing resources in the soft computing controller

Method used

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  • Intelligent robust control system for motorcycle using soft computing optimizer
  • Intelligent robust control system for motorcycle using soft computing optimizer
  • Intelligent robust control system for motorcycle using soft computing optimizer

Examples

Experimental program
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Embodiment Construction

[0055] figure 1 is a block diagram of an intelligent vehicle (with guidance) navigation control system, which is based on soft computing and utilizes a soft computing optimizer to generate a knowledge base (KB) 108 for a fuzzy controller (FC) 109 . The vehicle and guidance system is represented by block 102 . The output of block 102 is provided to the adaptation function in block 104 of the GA in block 105 . Using the results of a stochastic simulation of vehicle / guidance dynamic behavior, through a Genetic Analyzer (GA) 105, (from the output of block 102) target information for the knowledge base (KB) 108 is extracted . The GA 105 and adaptation function 104 are part of a system simulation (SSCQ) 242 of control quality.

[0056] Using a set of inputs, and a fitness function in block 104, the GA in block 105 works in a manner similar to the evolutionary process to arrive at a solution that is hopefully optimal. The GA in block 105 generates a set of "chromosomes" (ie, poss...

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PUM

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Abstract

The invention describes a vehicular intelligent touch control system using a soft computing (SC) optimizer, and the SC is used to design a knowledge base (KB) used in the vehicular control system. A user selection fuzzy model comprises one or a plurality of input and / or output variable numbers, fuzzy inference models, and the primary models of membership functions. A genetic algorithm (GA) is used to optimize language variable parameters and an input-output training mode. The GA is used to optimize a rule base through the fuzzy model, the optimized language variable parameters and teaching signals. The GA produces an approximately optimal fuzzy nerve network (FNN). The approximately optimal FNN can be improved through examples based on a derivative optimization procedure. The fuzzy inference systems (FIS) constructed by the GA can be optimized through the adaptation function of a controlled-shop-based real shop model response. The touch KB produced by the SC optimizer is usually smaller than the KB produced by the prior art.

Description

technical field [0001] The present invention relates to a system for electronically controlling the driving and handling agility of a motor vehicle based on soft computing. Background technique [0002] Feedback control systems are widely used to maintain the output of a powertrain at a desired value despite external disturbances that shift the desired value. For example, a domestic space heater controlled by a thermostat is an example of a feedback control system. The thermostat constantly measures the air temperature inside the house and turns on the furnace when the temperature falls below a desired minimum temperature. When the temperature in the room reaches a desired minimum temperature, the thermostat shuts off the furnace. A thermostat-furnace system that maintains the temperature in a home at a substantially constant value regardless of outside disturbances, such as a drop in outside temperature. Similar types of feedback control are used in many applications. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50B62J99/00B62K21/00G06N3/00
CPCB62K21/00Y02T10/82
Inventor 藤井茂渡边仁谢尔盖·A.·潘菲洛夫高桥一树谢尔盖·V·乌里扬诺夫
Owner YAMAHA MOTOR CO LTD
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