LQR controller design of active suspension based on genetic algorithm

2021 ◽  
Author(s):  
Wei Yu ◽  
Jie Li ◽  
Jing Yuan ◽  
Xi Ji
Keyword(s):  
Genetic Algorithm ◽  
Controller Design ◽  
Active Suspension ◽  
Lqr Controller

scholarly journals LQR controller design for quad-rotor helicopters

2019 ◽  
Vol 2019 (17) ◽  
pp. 4003-4007 ◽  
Author(s):  
Emmanuel Okyere ◽  
Amar Bousbaine ◽  
Gwangtim T. Poyi ◽  
Ajay K. Joseph ◽  
Jose M. Andrade
Keyword(s):  
Controller Design ◽  
Lqr Controller

scholarly journals Autonomous Cascade Structure Feedback Controller Design With Genetic Algorithm-based Structure Optimization

2020 ◽  
Vol 53 (2) ◽  
pp. 8419-8425
Author(s):  
Yoshihiro Maeda ◽  
Shu Kunitate ◽  
Eitaro Kuroda ◽  
Makoto Iwasaki
Keyword(s):  
Genetic Algorithm ◽  
Controller Design ◽  
Structure Optimization ◽  
Feedback Controller ◽  
Cascade Structure

Solving Vibration Control Problems Using Reduced Order Models for Flexible Structures: A Genetic Algorithm Approach

1997 ◽  
Author(s):  
Sourav Kundu ◽  
Kentaro Kamagata ◽  
Shigeru Sugino ◽  
Takeshi Minowa ◽  
Kazuto Seto
Keyword(s):  
Genetic Algorithm ◽  
Vibration Control ◽  
Controller Design ◽  
Fitness Function ◽  
Flexible Structures ◽  
Design Solution ◽  
Reduced Order Models ◽  
Reduced Order ◽  
Fitness Value ◽  
Genetic Algorithm Approach

Abstract A Genetic Algorithm (GA) based approach for solution of optimal control design of flexible structures is presented in this paper. The method for modeling flexible structures with distributed parameters as reduced-order models with lumped parameters, which has been developed previously, is employed. Due to some restrictions on controller design it is necessary to make a reduced-order model of the structure. Once the model is established the design of flexible structures is considered as a feedback search procedure where a new solution is assigned some fitness value for the GA and the algorithm iterates till some satisfactory design solution is achieved. We propose a pole assignment method to determine the evaluation (fitness) function to be used by the GA to find optimal damping ratios in passive elements. This paper demonstrates the first results of a genetic algorithm approach to solution of the vibration control problem for practical control applications to flexible tower-like structures.

Intelligent PD controller design for active suspension system based on robust model-free control strategy

2019 ◽  
Vol 233 (14) ◽  
pp. 4863-4880 ◽  
Author(s):  
Maroua Haddar ◽  
Riadh Chaari ◽  
S Caglar Baslamisli ◽  
Fakher Chaari ◽  
Mohamed Haddar
Keyword(s):  
Controller Design ◽  
Design Method ◽  
Active Suspension ◽  
Vehicle Speed ◽  
Pd Controller ◽  
Suspension Systems ◽  
Model Free ◽  
Robust Model ◽  
Road Disturbance ◽  
Model Free Control

A novel active suspension control design method is proposed for attenuating vibrations caused by road disturbance inputs in vehicle suspension systems. For the control algorithm, we propose an intelligent PD controller structure that effectively rejects online estimated disturbances. The main theoretical techniques used in this paper consist of an ultra-local model which replaces the mathematical model of quarter car system and a new algebraic estimator of unknown information. The measurement of only input and output variables of the plant is required for achieving the reference tracking task and the cancellation of unmodeled exogenous and endogenous perturbations such as roughness road variation, unpredictable variation of vehicle speed and load variation. The performance and robustness of the proposed active suspension algorithm are compared with ADRC control and LQR control. Numerical results are provided for showing the improvement of passenger comfort criteria with model-free control.

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