Research of Modeling and Sliding Mode Advanced Control for Four Rotor Aircraft

Author(s):  
Zhongming Luo ◽  
Xuexin Zhang ◽  
Zhuofu Liu
Author(s):  
Witoon Panusittikorn ◽  
Paul I. Ro

A magnetostrictive actuator offers a long mechanical strain output in a broad bandwidth at a cost of a highly nonlinear magnetic hysteresis. Full utilization of this actuator in precision manufacturing requires a feedback loop as well as an advanced control scheme. A robust control scheme using sliding mode control with a variable switching gain was tailored to the nonlinear transducer. Nominal feedforward current controller that drives the magnetostriction was based on the inverse anhysteresis model. An additional switching gain based on the Lyapunov stability condition is implemented to restrain uncertainties. Compared to a traditional closed-loop control design, the proposed algorithm experimentally showed a greatly enhanced performance.


Author(s):  
Abdellatif Hinda ◽  
Mounir Khiat ◽  
Zinelaabidine Boudjema

This paper presents an advanced control scheme based on sliding mode control of a unified power flow controller (UPFC). This controller can generate a number of benefits in terms of static and dynamic operation of the power system such as the control law is synthesized with two kinds of controllers: sliding mode controller (SMC), and proportional integral (PI). Their respective performances are compared in terms of reference monitoring, sensitivity to disturbances and robustness. We have to study the problem of controlling power in electric system by UPFC. The simulation results show the effectiveness of the proposed strategy especially in chattering-free behavior, response to sudden load variations and robustness. All the simulations for the above work have been carried out using MATLAB/Simulink. Various simulations have given very satisfactory results and we have successfully improved the active and reactive power flows on a line of transmission, as well as to control voltage at the bus where it is connected, the studies and illustrate the effectiveness and capability of UPFC in improving power.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Weixuan Wang ◽  
Shousheng Xie ◽  
Bin Zhou ◽  
Jingbo Peng ◽  
Lei Wang ◽  
...  

Specific to the NCSs where sensor signals can be processed centrally, a collaborative design scheme of dynamic game scheduling and advanced control theory was proposed in the present study. Firstly, by using the Jordan standard state space equation of the research object, the three elements of state noncooperative game were built, and the existence and uniqueness of Nash equilibrium solution were verified. In addition, the iterative equation of the scheduling matrix was derived by complying with the designed utility function. Secondly, refer to the number of restricted states the order of sliding mode was determined. And based on it, the corresponding sliding surface was designed. Subsequently, the quadratic optimization theory was adopted to regulate the control value following the implementation of the scheduling strategy to ensure that the control quality was further enhanced in the limited network service. Lastly, a TrueTime simulation example is established to verify the effectiveness of the proposed scheme.


2021 ◽  
Author(s):  
El Kabira El Mjabber ◽  
Abdellatif Khamlichi ◽  
Abdellah El Hajjaji

Abstract Advanced control of variable speed horizontal wind turbine was considered in the high wind speed range. The aims of control in this region are to limit and stabilize the rotor speed and electrical power to their nominal values, while reducing the fatigue loads acting on the structure. A new nonlinear technique based on combination between sliding mode control and radial basis function neural network control was investigated. The proposed hybrid controller was implemented via MATLAB on a simplified two masses numerical model of wind turbine. By applying the Lyapunov approach, this controller was shown to ensure stability. It was found also to be robust and able to reject the uncertainties associated to system nonlinearities. The obtained results were compared with those provided by an existing controller.


Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Majid Taheri Andani ◽  
Zahra Ramezani ◽  
Saeed Moazami ◽  
Jinde Cao ◽  
Mohammad Mehdi Arefi ◽  
...  

Due to their complicated dynamics and underactuated nature, spherical robots require advanced control methods to reveal all their manoeuvrability features. This paper considers the path tracking control problem of a spherical robot equipped with a 2-DOF pendulum. The pendulum has two input torques that allow it to take angles about the robot’s transverse and longitudinal axes. Due to mechanical technicalities, it is assumed that these angles are immeasurable. First, a neural network observer is designed to estimate the pendulum angles. Then a modified sliding mode controller is proposed for the robot’s tracking control in the presence of uncertainties. Next, the Lyapunov theorem is utilized to analyse the overall stability of the proposed scheme, including the convergence of the observer estimation and the trajectory tracking errors. Finally, simulation results are provided to indicate the effectiveness of the proposed method in comparison with the other available control approaches.


1994 ◽  
Vol 116 (4) ◽  
pp. 659-667 ◽  
Author(s):  
Ssu-Hsin Yu ◽  
John J. Moskwa

Currently, advanced control systems implemented on production ground vehicles have the goal of promoting maneuverability and stability. With proper coordination of steering and braking action, these goals may be achieved even when road conditions are severe. This paper considers the effect of steering and wheel torques on the dynamics of vehicular systems. Through the input-output linearization technique, the advantages of four-wheel steering (4WS) system and independent torques control are clear from a mathematical point of view. A sliding mode controller is also designed to modify driver’s steering and braking commands to enhance maneuverability and safety. Simulation results show the maneuverability and safety are improved. Although the controller design is based on a four-wheel steering vehicle, the algorithm can also be applied to vehicles of different configurations with slight changes.


2004 ◽  
Vol 13 (04) ◽  
pp. 737-760 ◽  
Author(s):  
E. SANTI ◽  
A. MONTI ◽  
D. LI ◽  
K. PRODDUTUR ◽  
R. A. DOUGAL

The theory of synergetic control was introduced in a power electronics context in a previous paper. In this paper we review the theory, then we focus on a comparison with the sliding mode approach. Common elements and main differences are underlined and illustrated through a comparative simulation example. The main advantages of synergetic control are that it is well-suited for digital implementation, it gives constant switching frequency operation, and it gives better control of the off-manifold dynamics. Finally, simulation and experimental results under transient conditions are compared. Advanced control laws with adaptation are presented and discussed to show how to better exploit the features of the synergetic control. The example used throughout the paper is the control of a boost converter operating in continuous conduction mode.


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