Friction observer-based hybrid controller for a seat suspension with semi-active electromagnetic damper

Mechatronics ◽  
2021 ◽  
Vol 76 ◽  
pp. 102568
Author(s):  
Xiangjun Xia ◽  
Minyi Zheng ◽  
Pengfei Liu ◽  
Nong Zhang ◽  
Donghong Ning ◽  
...  
Keyword(s):  
Seat Suspension ◽  
Hybrid Controller ◽  
Friction Observer ◽  
Electromagnetic Damper

A new adaptive hybrid controller for vibration control of a vehicle seat suspension featuring MR damper

2016 ◽  
Vol 23 (20) ◽  
pp. 3392-3413 ◽  
Author(s):  
Do Xuan Phu ◽  
Sang-Min Choi ◽  
Seung-Bok Choi
Keyword(s):  
Vibration Control ◽  
Neural Control ◽  
Sliding Mode ◽  
Fuzzy Model ◽  
Fuzzy Rule ◽  
Mr Damper ◽  
Seat Suspension ◽  
Hybrid Controller ◽  
Interval Type ◽  
Vehicle Seat

This paper presents a new hybrid controller which is a combination of three control schemes: fuzzy neural control, PI control and sliding mode control. The interval type 2 fuzzy model featuring updated rules via online is used in this study and in order to support the fuzzy model, a granular clustering method is applied to find groups of data related to the initial fuzzy rule. Then the output for fuzzy model is used for the PI-sliding mode controller. The combination of PI and sliding mode controls is carried out by H-infinity technique method which is rely on the modified Riccati-like equation. After developing the mathematical model, the proposed controller is applied to vibration control of a vehicle seat suspension featuring magneto-rheological (MR) damper. In order to demonstrate the effectiveness of the proposed controller, two different excitations of bump and random signals are adopted and corresponding vibration control performances are evaluated. It is demonstrated through both simulation and experiment that the proposed controller can provide much better than vibration control performance compared with the conventional controllers showing more robust stability.

Controllable electromagnetic damper-based seat suspension

2020 ◽  
pp. 13-36
Author(s):  
Haiping Du ◽  
Weihua Li ◽  
Donghong Ning ◽  
Shuaishuai Sun ◽  
Quan Min Zhu
Keyword(s):  
Seat Suspension ◽  
Electromagnetic Damper

Hybrid Adaptive Friction Compensation of Indirect Drive Trains

2009 ◽  
Author(s):  
Wenjie Chen ◽  
Kyoungchul Kong ◽  
Masayoshi Tomizuka
Keyword(s):  
Friction Compensation ◽  
Reference Trajectory ◽  
Control Performance ◽  
Lugre Model ◽  
Hybrid Controller ◽  
Drive Trains ◽  
Indirect Drive ◽  
Friction Observer ◽  
Main Factors ◽  
Side Friction

This paper investigates the friction compensation topic for indirect drive trains in the absence of precise end-effector measurements. Friction, one of the main factors that diminish control performance, is investigated and compensated by manipulating the reference trajectory as well as the torque input. The motor side torque compensation utilizes the modified LuGre model to design an adaptive friction observer, while the motor side reference is modified by injecting the estimated load side friction. A hybrid controller structure is proposed to engage or disengage the load side compensator. Both methods are combined to effectively reject the friction effects in indirect drive trains. The effectiveness of the proposed scheme is experimentally verified.

LMI-based hybrid temporal-spatial differential control design for a class of Euler-Bernoulli beam system

2021 ◽  
pp. 095440622110036
Author(s):  
Jiaqi Zhong ◽  
Xiaolei Chen ◽  
Yupeng Yuan ◽  
Jiajia Tan
Keyword(s):  
Vibration Suppression ◽  
Direct Method ◽  
Recursive Algorithm ◽  
Linear Matrix ◽  
Bernoulli Beam ◽  
Hybrid Controller ◽  
Beam System ◽  
Active Vibration ◽  
Differential Control ◽  
Euler Bernoulli Beam

This paper addresses the problem of active vibration suppression for a class of Euler-Bernoulli beam system. The objective of this paper is to design a hybrid temporal-spatial differential controller, which is involved with the in-domain and boundary actuators, such that the closed-loop system is stable. The Lyapunov’s direct method is employed to derive the sufficient condition, which not only can guarantee the stabilization of system, but also can improve the spatial cooperation of actuators. In the framework of the linear matrix inequalities (LMIs) technology, the gain matrices of hybrid controller can obtained by developing a recursive algorithm. Finally, the effectiveness of the proposed methodology is demonstrated by applying a numerical simulation.

Sign in / Sign up

Export Citation Format

Share Document