scholarly journals Fuzzy adaptive nonlinear stochastic control for vehicle suspension with electromagnetic actuator

2020 ◽  
Vol 53 (7-8) ◽  
pp. 1364-1375
Author(s):  
Feng Cao ◽  
Yongming Li
Keyword(s):  
Control Method ◽  
Reference Model ◽  
Design Procedure ◽  
Lyapunov Stability Theory ◽  
Vehicle Suspension ◽  
Mean Value Theorem ◽  
Electromagnetic Actuator ◽  
Control Input ◽  
Fuzzy Logic Systems ◽  
Stochastic Disturbance

This work solves the stability problem of a vehicle suspension with stochastic disturbance by designing an adaptive controller. The model of a quarter vehicle subjected to noise excitation is considered. The stochastic perturbance is realized by the roughness of the road and the vehicle moving with constant velocity. In the control design procedure, fuzzy logic systems are used to approximate unknown nonlinear functions. Meanwhile, the mean value theorem is employed to ensure the existence of the affine virtual control variables and control input. The backstepping technique is applied to construct the ideal controller. On the basis of Lyapunov stability theory, the proposed control method proves that the displacement and speed of the vehicle is reduced to a level ascertained by a true “desired” conceptual suspension reference model. Finally, the effectiveness of the proposed method is verified by simulation of electromagnetic actuator servo system.

Design of Missile Longitudinal Control System Based on Backstepping Control

2014 ◽  
Vol 496-500 ◽  
pp. 1401-1406
Author(s):  
Mei Hong Li ◽  
Jian Yin ◽  
Xue Yang Sun ◽  
Jin Xiang Xu ◽  
Mei Mei Zhang
Keyword(s):  
Control System ◽  
Control Method ◽  
Input Saturation ◽  
Lyapunov Stability Theory ◽  
Feedback System ◽  
Backstepping Control ◽  
Control Input ◽  
Backstepping Method ◽  
Longitudinal Control ◽  
And Control

Missile control system is not block strict feedback system which is suitable to use backstepping method. So in this paper, a backstepping control method is proposed to design a missile longitudinal autopilot and is proved to be asymptotically stable by Lyapunov stability theory. The simulation results show that the designed system can still track commands quickly and accurately and is robust with aerodynamic perturbation and control input saturation.

Anti-Control of Chaos of Linear Continuous-Time Systems with Unknown Parameters Using Adaptive Control

2011 ◽  
Vol 403-408 ◽  
pp. 4806-4813
Author(s):  
Farzaneh Akhgari ◽  
Zahra Rahmani ◽  
Behrooz Rezaie
Keyword(s):  
Linear System ◽  
Control Method ◽  
Reference Model ◽  
Lyapunov Stability Theory ◽  
Model Matching ◽  
Control Of Chaos ◽  
Unknown Parameters ◽  
Feedback Control Method ◽  
The Stability ◽  
Controllable Systems

In this paper, a feedback control method is proposed for the anti-control of chaos of linear controllable systems based on model-matching. First, it is considered that the linear system is completely known and an anti-control method is designed. Then, the parameters of the linear controllable system in companion form are assumed to be unknown. The chaotification is achieved choosing an appropriate control law and a parametric updating law based on Lyapunov stability theory, which provides the stability of the resulting adaptive system and the convergence of the tracking errors to zero. The proposed method is applied to anti-control of chaos of a linear system, while the Rössler chaotic system is the reference model. The numerical simulation results show the effectiveness of the proposed method.

scholarly journals Adaptive Fuzzy Containment Control for Uncertain Nonlinear Multiagent Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
Yang Yu ◽  
Kang-Hyun Jo
Keyword(s):  
Multiagent Systems ◽  
Output Feedback ◽  
State Feedback ◽  
Control Method ◽  
Directed Graphs ◽  
Lyapunov Stability Theory ◽  
Fuzzy Logic Systems ◽  
Containment Control ◽  
Control Scheme ◽  
Multiple Leaders

This paper considers the containment control problem for uncertain nonlinear multiagent systems under directed graphs. The followers are governed by nonlinear systems with unknown dynamics while the multiple leaders are neighbors of a subset of the followers. Fuzzy logic systems (FLSs) are used to identify the unknown dynamics and a distributed state feedback containment control protocol is proposed. This result is extended to the output feedback case, where observers are designed to estimate the unmeasurable states. Then, an output feedback containment control scheme is presented. The developed state feedback and output feedback containment controllers guarantee that the states of all followers converge to the convex hull spanned by the dynamic leaders. Based on Lyapunov stability theory, it is proved that the containment control errors are uniformly ultimately bounded (UUB). An example is provided to show the effectiveness of the proposed control method.

scholarly journals Adaptive Barrier Control for Nonlinear Servomechanisms with Friction Compensation

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Shubo Wang ◽  
Haisheng Yu ◽  
Xuehui Gao ◽  
Na Wang
Keyword(s):  
Control Method ◽  
Design Procedure ◽  
Lyapunov Stability Theory ◽  
Friction Compensation ◽  
Loop Control ◽  
Closed Loop Control System ◽  
Full State ◽  
Loop Control System ◽  
The Stability ◽  
The Given

This paper proposes an adaptive barrier controller for servomechanisms with friction compensation. A modified LuGre model is used to capture friction dynamics of servomechanisms. This model is incorporated into an augmented neural network (NN) to account for the unknown nonlinearities. Moreover, a barrier Lyapunov function (BLF) is utilized to each step in a backstepping design procedure. Then, a novel adaptive control method is well suggested to ensure that the full-state constraints are within the given boundary. The stability of the closed-loop control system is proved using Lyapunov stability theory. Comparative experiments on a turntable servomechanism confirm the effectiveness of the devised control method.

Control of a class of fractional-order systems with mismatched disturbances via fractional-order sliding mode controller

2020 ◽  
Vol 42 (13) ◽  
pp. 2423-2439
Author(s):  
Shabnam Pashaei ◽  
Mohammad Ali Badamchizadeh
Keyword(s):  
Fractional Order ◽  
Control Method ◽  
Sliding Mode ◽  
Estimation Error ◽  
Design Procedure ◽  
Lyapunov Stability Theory ◽  
Fast Response ◽  
Sliding Mode Controller ◽  
Fractional Order Systems ◽  
Mismatched Disturbances

This paper presents a new fractional-order sliding mode controller (FOSMC) for disturbance rejection and stabilization of a class of fractional-order systems with mismatched disturbances. To design this control strategy, firstly, a fractional-order extended disturbance observer (FOEDO) is proposed to estimate the matched and mismatched disturbances and their derivatives. Then, according to the design procedure of the sliding mode controller and based on the designed FOEDO, a proper sliding mode surface is proposed. Subsequently, the proposed FOSMC is designed to guarantee that the system states reach the sliding surface and stay on it forever. The stability of the controlled fractional-order systems is proved via fractional-order Lyapunov stability theory. The numerical examples are used to illustrate the effectiveness of the proposed fractional-order controller. The simulation results of the proposed FOSMC are compared with the results of some other researchers’ works to show the superiority of the proposed control method. The new approach displays some attractive features such as fast response, the chattering reduction, robust stability, less disturbance estimation error, the mismatched disturbance, noise rejection, and better control performance.

A High Precision Positioning Control Method Based on Learning Algorithm with Reference Model

2011 ◽  
Vol 211-212 ◽  
pp. 671-675
Author(s):  
Kenji Nakajima ◽  
Hiroyuki Saitou ◽  
Seiji Hashimoto
Keyword(s):  
Neural Network ◽  
High Precision ◽  
Control Method ◽  
Reference Model ◽  
Learning Algorithm ◽  
Input Saturation ◽  
Control Input ◽  
Precision Positioning ◽  
Positioning Control ◽  
The Neural Network

In this paper, a high precision positioning control method based on the learning algorithm with the reference model is proposed. The reference model is composed of a plant model and a feedback controller. In the proposed control method, disturbance, modeling error and nonlinear characteristic can be effectively compensated by the neural network-based controller, which learns the reference model. Moreover, the control-input saturation problem due to the over-learning for the neural network can be avoided. The effectiveness of the proposed control method is experimentally verified using the precision positioning equipment with nonlinear friction characteristics.

Research of vibration and crack propagation controls on an asymmetrical cracked rotor

2021 ◽  
pp. 107754632199822
Author(s):  
Jun Liu ◽  
Zhu Han ◽  
Rong Hu
Keyword(s):  
Crack Propagation ◽  
Vibration Suppression ◽  
Control Method ◽  
Element Model ◽  
Electromagnetic Actuator ◽  
Contact Method ◽  
Cracked Rotor ◽  
Mapping Model ◽  
Differential Control ◽  
Opening And Closing

To investigate vibration characteristics and delay crack propagations of an asymmetric cracked rotor, the 3D finite element model of the rotor system with a nonlinear contact method is established. Resonance characteristics of the asymmetrical rotor without a crack and within different locations of a crack are investigated systematically. Numerical results show that a crack affects vibration frequencies and the unstable region of the rotor. Meanwhile, an improved proportional integral differential control method with the electromagnetic actuator is used to accomplish the delay crack propagation and the vibration suppression. Based on the mapping model of opening and closing states of a crack, the effects of rotational speeds, an unbalance, and asymmetries of the rotor are discussed in detail. Experimental results show that vibrations and the breathing behavior of cracks in the rotor with the electromagnetic actuator can be suppressed, and the effectiveness of the proposed mapping model of opening and closing states of a crack is verified.

scholarly journals Electromagnetic Actuator System Using Witty Control System

Actuators ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 65
Author(s):  
Der-Fa Chen ◽  
Shen-Pao-Chi Chiu ◽  
An-Bang Cheng ◽  
Jung-Chu Ting
Keyword(s):  
Control System ◽  
Control Method ◽  
Search Algorithm ◽  
Electromagnetic Actuator ◽  
Control Performance ◽  
Learning Capability ◽  
Learning Rates ◽  
Agricultural Applications ◽  
Actuator System ◽  
Rice Milling

Electromagnetic actuator systems composed of an induction servo motor (ISM) drive system and a rice milling machine system have widely been used in agricultural applications. In order to achieve a finer control performance, a witty control system using a revised recurrent Jacobi polynomial neural network (RRJPNN) control and two remunerated controls with an altered bat search algorithm (ABSA) method is proposed to control electromagnetic actuator systems. The witty control system with finer learning capability can fulfill the RRJPNN control, which involves an attunement law, two remunerated controls, which have two evaluation laws, and a dominator control. Based on the Lyapunov stability principle, the attunement law in the RRJPNN control and two evaluation laws in the two remunerated controls are derived. Moreover, the ABSA method can acquire the adjustable learning rates to quicken convergence of weights. Finally, the proposed control method exhibits a finer control performance that is confirmed by experimental results.

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