A Hybrid Control Algorithm Fuzzy-PI with the Second Derivative of the Error Signal for an Active Suspension System

Nguyen, Duc Ngoc; Nguyen, Tuan Anh

doi:10.1155/2022/3525609

Cited by 3 publications

(2 citation statements)

References 52 publications

(47 reference statements)

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“…Tese values can change in real time depending on the excitation conditions on the pavement. PID controller values can be tuned using a fuzzy algorithm [13]. In [14], Swethamarai and Lakshmi proposed using the FOPID (fractional-order proportional-integral-derivative) algorithm for the suspension system.…”

Section: Introductionmentioning

confidence: 99%

A New Approach to Selecting Optimal Parameters for the Sliding Mode Algorithm on an Automotive Suspension System

Nguyen

2023

Complexity

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Stimuli from the road surface cause car vibrations. The suspension system ensures the vehicle’s stability and smoothness when moving. In this research, the author introduces the use of active suspension with a hydraulic actuator to improve the comfort of cars. Car oscillations are described based on a quarter-dynamics model with five state variables. Besides, the nonlinear system’s SM (sliding mode) control algorithm is used to control the system. The SM algorithm’s parameters are optimally selected using the multiple loop algorithm. The multiple loop algorithm allows the values to vary within a predefined limit and provides an optimal parameter based on the vehicle’s vibration conditions. This is a new point in the paper compared to previous studies. The output of the simulation problem includes displacements and accelerations of both the sprung and unsprung masses. In addition, the change of dynamics force at the wheel is also considered when evaluating the interaction between the wheel and the road surface. According to the paper’s results, the vehicle body’s acceleration and displacement values are strongly reduced when using the SM algorithm, compared with cars with only traditional suspension. In addition, the change in dynamics force at the wheel is not significant when using this algorithm. As a result, the car’s smoothness has been improved while the vehicle’s stability has not been lost. The phenomenon of “chattering” still occurs in some cases; however, its effect is negligible.

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Section: Introductionmentioning

confidence: 99%

A New Approach to Selecting Optimal Parameters for the Sliding Mode Algorithm on an Automotive Suspension System

Nguyen

2023

Complexity

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“…Chintu et al [18] present a study on an adaptive differential evolution tuned hybrid Fuzzy Proportional Derivative-Proportional Integral structure suggested for automatic generation control (AGC) of power systems. Nguyen and Nguyen [19] this paper introduce the Fuzzy-PI integrated control algorithm to control the system's efficiency. The Fuzzy algorithm adjusts the KP and KI parameters of the controller.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Fuzzy Controller Design for Position Control System

Noaman¹

2023

MMEP

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A linear control system can be controlled by using the conventional controller after formulating a mathematical model of the system and finding its transfer function. The fuzzy logic controller enables the representation of human information pertaining to the system's control, manipulation, and execution. The developer of a controller must establish the rules, and the information may come from the human controller or from an understanding of the plant dynamics. The expansion in the rules leads the fuzzy controller to take efficient decisions and to be very strong for controlling the plant, besides the ability to control the nonlinearity that occurs in the plant. In this paper, the transfer function and response to a unit-step input of a closed-loop position control system were derived. The response of the system was improved by the design and simulation of a PD controller. Then, the formulation and construction of four fuzzy controllers gradually increase in the rule base 9, 25, 47, and 81. Finally, design and simulate a hybrid fuzzy controller. The system was simulated using MATLAB Simulink, examining a range of factors such as the rise, settling time, and overshoot. The implementation of a hybrid-fuzzy controller provides the benefits of the fuzzy controller and PD controller. This means that the hybrid fuzzy has a better transient response than the uncontrolled system, a system with PD controller, and a fuzzy controller.

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Research on the Sliding Mode – PID control algorithm tuned by fuzzy method for vehicle active suspension

Nguyen

2023

Forces in Mechanics

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A Hybrid Control Algorithm Fuzzy-PI with the Second Derivative of the Error Signal for an Active Suspension System

Cited by 3 publications

References 52 publications

A New Approach to Selecting Optimal Parameters for the Sliding Mode Algorithm on an Automotive Suspension System

A New Approach to Selecting Optimal Parameters for the Sliding Mode Algorithm on an Automotive Suspension System

Hybrid Fuzzy Controller Design for Position Control System

Research on the Sliding Mode – PID control algorithm tuned by fuzzy method for vehicle active suspension

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