Iterative Learning Control Experimental Results in Twin‐Rotor Device

Palliser, Rubén Mascaró; Costa‐Castelló, Ramon; Ramos, Germán A.

doi:10.1155/2017/6519497

Cited by 3 publications

(2 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to the similarity of the mathematical expression associated with the classical PID controller, the IL algorithm could be duly described as P, PI, PD, or PID-type ILC algorithm [24], as shown in Figure 5. The ILC algorithm was applied to a TRMS model in [26] to achieve desired conditions while performing the trajectory tracking task as results demonstrated the ability of the ILC in improving system performance efficiently.…”

Section: Iterative Learning Control (Ilc)mentioning

confidence: 99%

Practical Real-Time Implementation of a Disturbance Rejection Control Scheme for a Twin-Rotor Helicopter System Using Intelligent Active Force Control

2021

View full text Add to dashboard Cite

Section: Iterative Learning Control (Ilc)mentioning

confidence: 99%

Practical Real-Time Implementation of a Disturbance Rejection Control Scheme for a Twin-Rotor Helicopter System Using Intelligent Active Force Control

2021

View full text Add to dashboard Cite

“…In the work done by [61], ILC was applied to a doublerotor helicopter system both numerically and experimentally, to achieve higher efficiency in trajectory tracking. ILC is considered one of the more promising intelligent and adaptive methods as it features ease of design and implementation characterized by its inherent simple and linear algorithms and its ability to adjust its control parameters automatically and online.…”

Section: Twin-rotor Systemsmentioning

confidence: 99%

Control Strategies and Novel Techniques for Autonomous Rotorcraft Unmanned Aerial Vehicles: A Review

2020

View full text Add to dashboard Cite

This paper presents a review of the various control strategies that have been conducted to address and resolve several challenges for a particular category of unmanned aerial vehicles (UAVs), the emphasis of which is on the rotorcraft or rotary-wing systems. Initially, a brief overview of the important relevant definitions, configurations, components, advantages/disadvantages, and applications of the UAVs is first introduced in general, encompassing a wide spectrum of the flying machines. Subsequently, the focus is more on the two most common and versatile rotorcraft UAVs, namely, the twin-rotor and quadrotor systems. Starting with a brief background on the dual-rotor helicopter and a quadcopter, the full detailed mathematical dynamic model of each system is derived based on the Euler-Lagrange and Newton-Euler methods, considering a number of assumptions and considerations. Then, a state-of-the-art review of the diverse control strategies for controlling the rotorcraft systems with conceivable solutions when the systems are subjected to the different impediments is demonstrated. To counter some of these limitations and adverse operating/loading conditions in the UAVs, several innovative control techniques are particularly highlighted, and their performance are duly analyzed, discussed, and compared. The applied control techniques are deemed to produce a useful contribution to their successful implementation in the wake of varied constraints and demanding environments that result in a degree of robustness and efficacy. Some of the off-the-shelf developments in the rotorcraft systems for research and commercial applications are also presented.

show abstract

Adjusting LQG with Noise Signals, PID Controller for Acrobot System

Danh

2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Acrobot is a robotic system that is actuated to achieve a certain degree through a controller and/or motion motors. In order to control acrobot in a given position, the designers have to come up with appropriate algorithms. In fact, input signals into the system are affected by noise signals. Therefore, it is necessary to remove noisy signals. In this paper, a method to control the balance under the influence of noise signals affecting the system (LQG) is proposed. Through acrobot's equations of motion, the system is linearized to facilitate the use of the above regulator for positions around the equilibrium point. The role of a Kalman filter of an LQG regulator is also depicted. Besides, a PID controller was used to survey this system as a comprehensive assessment of the effectiveness of control methods for acrobot. As acrobot stability surveys are rare in recent years according to the data referenced below, this paper is useful for acrobot control purposes and can serve as an important database for the application of acrobots in practice. Simulations are performed on Matlab.

show abstract

Iterative Learning Control Experimental Results in Twin‐Rotor Device

Cited by 3 publications

References 22 publications

Practical Real-Time Implementation of a Disturbance Rejection Control Scheme for a Twin-Rotor Helicopter System Using Intelligent Active Force Control

Practical Real-Time Implementation of a Disturbance Rejection Control Scheme for a Twin-Rotor Helicopter System Using Intelligent Active Force Control

Control Strategies and Novel Techniques for Autonomous Rotorcraft Unmanned Aerial Vehicles: A Review

Adjusting LQG with Noise Signals, PID Controller for Acrobot System

Contact Info

Product

Resources

About