A Review on Comparative Remarks, Performance Evaluation and Improvement Strategies of Quadrotor Controllers

Roy, Rupal; Islam, Maidul; Sadman, Nafiz; Mahmud, Arafat; Gupta, Kishor Datta; Ahsan, Md Manjurul

doi:10.3390/technologies9020037

Cited by 28 publications

(17 citation statements)

References 252 publications

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“…Driving comfort is defined by several standards such as ISO 2631-1-1997 and ISO 2631, which measure the comfort of driving. 10,11…”

Section: State Of the Artmentioning

confidence: 99%

“…Driving comfort is defined by several standards such as ISO 2631-1-1997 and ISO 2631, which measure the comfort of driving. 10,11 To stabilize an active suspension system, it is necessary to control the force of the actuator in order to quickly maintain more stability (reach the set value, equalize acceleration, and have the wheel respect the state of the road). This requires a servo system that compares the set value with the system state to effectively correct it, regardless of internal or external disturbances.…”

Section: State Of the Artmentioning

confidence: 99%

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Control of an active suspension system based on long short-term memory (LSTM) learning

Dridi

Hamza

Yahia

2023

Advances in Mechanical Engineering

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As part of our study, which is a continuation of the research carried out by Dr. Anis HAMZA, Intelligent Neural Network Control for Active Heavy Truck Suspension Chapter of the book Advances in Mechanics and Mechanics. This working model is an intelligent, active suspension system with RNN (Recurrent Neural Network), which seeks the stability of heavy vehicles under all external or internal conditions (weight, mass, road deformation, acceleration, braking, etc.), to find a compromise between all these constraints. Standard control methods, such as (PID and LQR…) do not solve our multi-parameter problem. Our contribution is to exploit any servo system (PID, LQR, FUZZY, …). To train our LSTM (Long short-term memory) neural network with a Root Mean Square (RMS) rating value. Our method has proven effective by the results obtained. The view is an adaptation to classification, processing, and making predictions based on time series data, which is well in line with our suspension system that each moment depends on the previous state. The results have been confirmed by the ISO 26315 standard concerning the exposure of individuals to vibration and mechanical shock.

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“…Driving comfort is defined by several standards such as ISO 2631-1-1997 and ISO 2631, which measure the comfort of driving. 10,11…”

Section: State Of the Artmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

Control of an active suspension system based on long short-term memory (LSTM) learning

Dridi

Hamza

Yahia

2023

Advances in Mechanical Engineering

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“…Despite its general principle being relatively simple, the design of such a system requires particular attention, given the complex and under-actuated dynamics of the quad-rotor [5]. The literature on this subject is vast and very variable and can lead to a better understanding of the performance of the proposed controllers [32]. This subsection is devoted to some methods of linear and nonlinear controls applied to the quad-rotor.…”

Section: Control Strategy Of Quad-rotor Systemmentioning

confidence: 99%

Towards Optimization of Energy Consumption of Tello Quad-Rotor with Mpc Model Implementation

Benotsmane

Vásárhelyi

2022

Energies

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For the last decade, there has been great interest in studying dynamic control for unmanned aerial vehicles, but drones—although a useful technology in different areas—are prone to several issues, such as instability, the high energy consumption of batteries, and the inaccuracy of tracking targets. Different approaches have been proposed for dealing with nonlinearity issues, which represent the most important features of this system. This paper focuses on the most common control strategy, known as model predictive control (MPC), with its two branches, linear (LMPC) and nonlinear (NLMPC). The aim is to develop a model based on sensors embedded in a Tello quad-rotor used for indoor purposes. The original controller of the Tello quad-rotor is supposed to be the slave, and the designed model predictive controller was created in MATLAB. The design was imported to another embedded system, considered the master. The objective of this model is to track the reference trajectory while maintaining the stability of the system and ensuring low energy consumption. The case study in this paper compares linear and nonlinear model predictive control (MPC). The results show the efficiency of NLMPC, which provides more promising results compared to LMPC. The comparison concentrates on the energy consumption, the tracked trajectory, and the execution time. The main finding of this research is that NLMPC is a good solution to smoothly track the reference trajectory. The controller in this case processes faster, but the rotors consume more energy because of the increased values of control inputs calculated by the nonlinear controller.

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“…Explaining Assumptions 2.1 and 2.2, it is an important part to design SDF‐SMC that begins with the proposition of a mathematical model for underactuated quadrotor craft [60]. Thus, we discuss the coordinate transformation in this section.…”

Section: Mathematical Model Of An Underactuated Quadrotormentioning

confidence: 99%

Dual‐loop single dimension fuzzy‐based sliding mode control design for robust tracking of an underactuated quadrotor craft

Abro

Zulkifli

Asirvadam

2022

Asian Journal of Control

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This manuscript presents an intelligent control design for the helical trajectory tracking of an underactuated quadrotor. One may see that the entire kinematics and dynamics are derived using Newton Euler approach. Since the quadrotor is one of the nonlinear and underactuated systems (where degree of freedom is greater than the number of control inputs) and with the induction of unmodeled dynamic factors and uncertainties, it is a highly unstable system. To stabilize, the linear extended state observer is proposed along with dual‐loop single dimension fuzzy‐based sliding mode control (DLSDF‐SMC). The entire system has been partitioned into two subsystems, that is, translational and rotational subsystems. Within the rotational subsystem, the attitude controller is proposed using DLSDF‐SMC, whereas for translational subsystem, paper proposes the position control design based on the hyperbolic functions to avoid the gimbal lock and an issue of singularity. The simulation work for proposed algorithm is performed using MATLAB and Simulink that are compared with conventional sliding mode control (SMC) and fuzzy‐based SMC control techniques. In addition to this, one may also find the hardware configuration that validates the software results.

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A Review on Comparative Remarks, Performance Evaluation and Improvement Strategies of Quadrotor Controllers

Cited by 28 publications

References 252 publications

Control of an active suspension system based on long short-term memory (LSTM) learning

Control of an active suspension system based on long short-term memory (LSTM) learning

Towards Optimization of Energy Consumption of Tello Quad-Rotor with Mpc Model Implementation

Dual‐loop single dimension fuzzy‐based sliding mode control design for robust tracking of an underactuated quadrotor craft

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