Two-dimensional fuzzy sliding mode control of a field-sensed magnetic suspension system

2014 ◽  
Author(s):  
Jen-Hsing Li
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Suspension System ◽  
Magnetic Suspension ◽  
Two Dimensional ◽  
Fuzzy Sliding Mode Control ◽  
Mode Control ◽  
Magnetic Suspension System ◽  
Fuzzy Sliding Mode

scholarly journals Two-Dimensional Fuzzy Sliding Mode Control of a Field-Sensed Magnetic Suspension System

2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
Jen-Hsing Li ◽  
Juing-Shian Chiou
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Suspension System ◽  
Magnetic Suspension ◽  
Two Dimensional ◽  
Fuzzy Sliding Mode Control ◽  
Suspension Systems ◽  
Mode Control ◽  
Magnetic Suspension System ◽  
Fuzzy Sliding Mode

This paper presents the two-dimensional fuzzy sliding mode control of a field-sensed magnetic suspension system. The fuzzy rules include both the sliding manifold and its derivative. The fuzzy sliding mode control has advantages of the sliding mode control and the fuzzy control rules are minimized. Magnetic suspension systems are nonlinear and inherently unstable systems. The two-dimensional fuzzy sliding mode control can stabilize the nonlinear systems globally and attenuate chatter effectively. It is adequate to be applied to magnetic suspension systems. New design circuits of magnetic suspension systems are proposed in this paper. ARM Cortex-M3 microcontroller is utilized as a digital controller. The implemented driver, sensor, and control circuits are simpler, more inexpensive, and effective. This apparatus is satisfactory for engineering education. In the hands-on experiments, the proposed control scheme markedly improves performances of the field-sensed magnetic suspension system.

scholarly journals Fuzzy Sliding Mode Control of Vehicle Magnetorheological Semi-Active Air Suspension

2021 ◽  
Vol 11 (22) ◽  
pp. 10925
Author(s):  
Gang Li ◽  
Zhiyong Ruan ◽  
Ruiheng Gu ◽  
Guoliang Hu
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Mr Damper ◽  
Suspension System ◽  
System Stability ◽  
Fuzzy Sliding Mode Control ◽  
Mode Control ◽  
Air Suspension ◽  
Road Excitation ◽  
Fuzzy Sliding Mode

In order to reduce vehicle vibration during driving conditions, a fuzzy sliding mode control strategy (FSMC) for semi-active air suspension based on the magnetorheological (MR) damper is proposed. The MR damper used in the semi-active air suspension system was tested and analyzed. Based on the experimental data, the genetic algorithm was used to identify the parameters of the improved hyperbolic tangent model, which was derived for the MR damper. At the same time, an adaptive neuro fuzzy inference system (ANFIS) was used to build the reverse model of the MR damper. The model of a quarter vehicle semi-active air suspension system equipped with a MR damper was established. Aiming at the uncertainty of the air suspension system, fuzzy control was used to adjust the boundary layer of the sliding mode control, which can effectively suppress the influence of chattering on the control accuracy and ensure system stability. Taking random road excitation and impact road excitation as the input signal, the simulation analysis of passive air suspension, semi-active air suspension based on SMC and FSMC was carried out, respectively. The results show that the semi-active air suspension based on FSMC has better vibration attenuating performance and ride comfort.

scholarly journals An ABC Optimized Adaptive Fuzzy Sliding Mode Control Strategy for Full Vehicle Active Suspension System

2021 ◽  
Vol 17 (2) ◽  
pp. 151-165
Author(s):  
Atheel Abdul Zahra ◽  
Turki Abdalla
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Suspension System ◽  
Adaptive Sliding Mode Control ◽  
Fuzzy Sliding Mode Control ◽  
Full Vehicle ◽  
Mode Control ◽  
Control Scheme ◽  
Fuzzy Sliding Mode ◽  
The Stability

This work presents a Fuzzy based adaptive Sliding Mode Control scheme to deal with the control problem of full vehicle active suspension system and take into consideration the nonlinearities of the spring and damper, unmodeled dynamics as well as external disturbances. The control law of fuzzy-based Adaptive Sliding Mode Control scheme will update the parameters of fuzzy sliding mode control by using the stability analysis of Lyapunov criteria such that the convergence infinite time and the stability of the closed-loop is ensured. The proposed control scheme consists of four similar subsystems used for the four sides of the vehicle. The sub-control scheme contains two loops, the outer loop is built using a sliding mode controller with a fuzzy estimator to approximate and estimate the unknown parameters in the system. In the inner loop, a controller of type Fractional Order PID (FOPID) is utilized to create the required actuator force. All parameters in the four sub-control schemes are optimized utilizing Artificial Bee Colony (ABC) algorithm in order to improve the performance. The results indicate the effectiveness and good achievement of the proposed controller in providing the best ability to limit the vibration with good robustness properties in comparison with passive suspension system and using sliding mode control method. The controlled suspension system shows excellent results when it was tested with and without typical breaking and bending torques.

Sign in / Sign up

Export Citation Format

Share Document