Active vehicle suspension control using road preview model predictive control and radial basis function networks
M Papadimitrakis, A Alexandridis - Applied Soft Computing, 2022 - Elsevier
Active suspension systems in road vehicles are applied in order to mitigate the road-induced
chassis vertical accelerations more effectively than standard passive suspensions, thus …
chassis vertical accelerations more effectively than standard passive suspensions, thus …
Robust adaptive control of a bio-inspired robot manipulator using bat algorithm
This paper proposes a novel adaptive fractional order PID sliding mode controller
(AFOPIDSMC) using a Bat algorithm to control of a Caterpillar robot manipulator. A fractional …
(AFOPIDSMC) using a Bat algorithm to control of a Caterpillar robot manipulator. A fractional …
[HTML][HTML] Robust control for an active suspension system via continuous sliding-mode controllers
In this paper, a simple control methodology is proposed to stabilize the position of the
sprung mass of the quarter car system. The simplicity of the structure of the proposal …
sprung mass of the quarter car system. The simplicity of the structure of the proposal …
A novel fuzzy PID controller for nonlinear active suspension system with an electro-hydraulic actuator
This paper proposes a novel controller based on the fuzzy logic soft computing technique. It
is realized discretely by transforming the conventional Proportional plus Integral plus …
is realized discretely by transforming the conventional Proportional plus Integral plus …
Robust tracking control of aerial robots via a simple learning strategy-based feedback linearization
To facilitate accurate tracking in unknown/uncertain environments, this paper proposes a
simple learning (SL) strategy for feedback linearization control (FLC) of aerial robots subject …
simple learning (SL) strategy for feedback linearization control (FLC) of aerial robots subject …
A biologically inspired framework for the intelligent control of mechatronic systems and its application to a micro diving agent
WM Bessa, G Brinkmann, DA Duecker… - Mathematical …, 2018 - Wiley Online Library
Mechatronic systems are becoming an intrinsic part of our daily life, and the adopted control
approach in turn plays an essential role in the emulation of the intelligent behavior. In this …
approach in turn plays an essential role in the emulation of the intelligent behavior. In this …
Dynamic neural network-based feedback linearization control of full-car suspensions using PSO
This paper proposes a nonlinear control approach using dynamic neural network-based
input–output feedback linearization to resolve the inherent conflicting performance criteria …
input–output feedback linearization to resolve the inherent conflicting performance criteria …
Optimal design of a quadratic parameter varying vehicle suspension system using contrast-based fruit fly optimisation
In the UK, in 2014 almost fifty thousand motorists made claims about vehicle damages
caused by potholes. Pothole damage mitigation has become so important that a number of …
caused by potholes. Pothole damage mitigation has become so important that a number of …
[HTML][HTML] Fuzzy robust nonlinear control approach for electro-hydraulic flight motion simulator
H Songshan, J Zongxia, W Chengwen… - Chinese Journal of …, 2015 - Elsevier
A fuzzy robust nonlinear controller for hydraulic rotary actuators in flight motion simulators is
proposed. Compared with other three-order models of hydraulic rotary actuators, the …
proposed. Compared with other three-order models of hydraulic rotary actuators, the …
Vehicle path tracking by integrated chassis control
S Salehpour, Y Pourasad, SH Taheri - Journal of central south university, 2015 - Springer
The control problem of trajectory based path following for passenger vehicles is studied.
Comprehensive nonlinear vehicle model is utilized for simulation vehicle response during …
Comprehensive nonlinear vehicle model is utilized for simulation vehicle response during …