Active suspension system fuzzy control method for improving comfort based on frequency domain characteristics

Abstract

The invention discloses an active suspension system fuzzy control method for improving comfort based on frequency domain characteristics, belongs to the technical field of automobile suspension control, and relates to the problem of how to enable an automobile active suspension closed-loop control system to be asymptotically stable and have an optimal finite frequency domain disturbance suppression performance index so as to improve the riding comfort of an automobile. The method comprises the following steps: firstly, establishing a dynamic equation of the automobile active suspension system, and establishing a Takagi-Sugeno (T-S) fuzzy model of the automobile active suspension system by considering the change condition of automobile load bearing; designing a distributed compensation fuzzy controller to obtain a closed-loop suspension control system; providing a finite frequency domain disturbance suppression performance index for depicting the human body comfort; and based on a Lyapunov stability theory and a linear matrix inequality technology, proving the stability of a closed-loop active suspension system and the disturbance suppression performance of a finite frequency domain. According to the technical scheme, the disturbance suppression performance of the suspension control system is effectively enhanced according to the human body sensitive frequency domain characteristic information under the condition that the load bearing change of the automobile is complicated, so that the riding comfort of the automobile is improved.

Description

technical field [0001] The invention belongs to the technical field of automobile suspension control, and relates to a fuzzy control method for an active suspension system that improves comfort based on frequency domain characteristics. Background technique [0002] As we all know, the field of automobile manufacturing centered on unmanned driving, clean energy and other technologies is a field of competition among world powers, attracting more and more investment. As the main part of the car, the suspension system, that is, the connection damping system between the car wheel and the body, its performance directly affects the comfort of the car, so the research on the car suspension system has extremely important practical significance. Currently, cars typically use the most advanced active suspension systems. The active suspension system adds an actuator on the basis of the fixed spring and damping structure, and drives the actuator to assist the suspension system to move ...

AI Technical Summary

Problems solved by technology

However, the disadvantages of this technical solution are: 1) The design of the controller does not fully consider the sensitive frequency domain characteristics of the human body, so that the comfort of the car is not fully optimized; 2) The possible changes in the load bearing of the car are not considered

However, the disadvantages of this technical solution are: 1) The vehicle active suspension system adopts a linear model, which has great limitations in practical applications; 2) The controller design does not fully consider the sensitive frequency domain characteristics of the human body, so that the comfort of the vehicle has not been achieved. fully optimized

However, the disadvantages of this technical solution are: 1) In the proposed backstepping controller design, there are too many intermediate virtual controller design links, and the controller design method is relatively complicated; 2) The designed controller can only ensure closed-loop active control. The state of the suspension system converges to the neighborhood of zero and cannot be guaranteed to converge to zero

However, the disadvantages of this technical solution are: 1) The gain of traditional Mamdani fuzzy controller is based on the experience of the designer, and there is no complete and standardized design process, which has great subjectivity

2) Although the fuzzy control method proposed in this paper usually has a certain vibration reduction effect, it cannot obtain a quantitative representation of the vibration reduction effect

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