Quadrotor is a typical underdriven, nonlinear and strongly coupled system. Its attitude control accuracy and anti-jamming problem has been one of the research hotspots. In order to realize the accurate attitude control of small and low-cost quadrotor, the force situation of quadrotor is analyzed in detail, and the nonlinear dynamics model of quadrotor is established by using Newton-Euler equations, The PID controller based on small disturbances is designed, and the results are tested and analyzed by the MATLAB/Simulink simulation model of pitch channel, roll channel, and yaw channel. The results show that the designed control algorithm can meet the attitude control requirements of quadrotor and has good anti-interference performance.
To reduce cross-coupling effects and enhance the dynamic response of the Single-Inductor Dual-Output (SIDO) Buck converter, this paper introduces an active disturbance rejection control method based on a cascade extended state observer. It starts with establishing a small-signal model and deriving the transfer function of the SIDO Buck converter. Then, it designs self-disturbance decoupling controllers and series-connected state observers, followed by multi-objective optimization of controller parameters using the particle swarm algorithm. Finally, the control approach is compared with Proportional-Integral-Derivative (PID) control through simulations on a MATLAB platform. The results demonstrate that the proposed controller effectively minimizes cross-coupling effects between the converter outputs and enhances disturbance rejection and robustness.
The flying car combines the functions of the aircraft and the car, and its aerodynamic shape satisfies the aerodynamic characteristics of the car and the aircraft. The Catia three-dimensional modeling software is used to draw a ducted flying car shape, and the step-back, fast-back, and square-back type tailback models are established. The CFD software Xflow is used to perform grid-independent experiments on the model to determine the optimal simulation accuracy of the vehicle model. The aerodynamic analysis of the three tailback models is carried out by using the obtained optimal simulation accuracy. Through the analysis and comparison of the aerodynamic characteristics of the three tailback shapes, it is concluded that the aerodynamic parameters of the fast-back tailback are the best for improving aerodynamic performance. By comparing the inclination angle of the fast-back tailback, it is found that when the inclination angle is 30, the aerodynamic parameters improve the aerodynamic performance.
The electronic mechanical braking system has become the development direction of passenger car braking systems because of their advantages of simple structure and rapid response. To achieve precise control of braking force, this paper makes a mathematical analysis of the motor parts and mechanical parts of EMB. In this paper, a new sliding mode control strategy is proposed to overcome the limitations of the existing control, that is, the installation and control accuracy of the sensor. Then, by comparing the simulation results of sliding mode control and PID control, the effectiveness of the control algorithm is verified. Finally, the performance of the EMB braking system is verified by simulating the braking condition under dry concrete pavement.
Dung Beetle Optimizer(DBO) is an effective metaheuristic algorithm proposed in 2022. But at the same time, DBO also suffers from a local-global imbalance in the exploration process, tends to fall into local optimization and exploitability needs to be further improved, etc. Therefore, we propose an improved DBO algorithm to address these shortcomings and named it CDBO. Firstly, Tent chaotic mapping can be used for the purpose of initializing the population, improving the quality of initial solutions, promoting the enhancement of population variety, and augmenting the global search capability of the algorithm. Secondly, introducing dynamic weighting factors enables the algorithm to fully search for local areas while also taking into account global exploration. To assess the effectiveness of CDBO, a total of 12 benchmark test functions were utilized to evaluate the performance of this algorithm, wherein CDBO was compared with other widely recognized metaheuristic algorithms. The results showed that CDBO had improved search accuracy and convergence speed. Finally, CDBO was applied to airfoil optimization problem, verifying the feasibility of applying CDBO to practical engineering problems.
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