Transmission Control Design Approach Using Simulation, Rapid Prototyping, and Auto Code Generation

2008 ◽  
Author(s):  
Kevin (Quanzhong) Yan ◽  
Christopher J. Trush
Keyword(s):  
Rapid Prototyping ◽  
Code Generation ◽  
Control Design ◽  
Design Approach ◽  
Transmission Control

Rapid Prototyping Design for In-Wheel Motor Controller

2013 ◽  
Vol 397-400 ◽  
pp. 1204-1208 ◽  
Author(s):  
Chuan Xue Song ◽  
Si Lun Peng ◽  
Li Qiang Jin ◽  
Jian Hua Li ◽  
Shi Xin Song ◽  
...  
Keyword(s):  
Rapid Prototyping ◽  
Vector Control ◽  
Code Generation ◽  
Control Algorithm ◽  
Design Approach ◽  
Automatic Code Generation ◽  
Generation Function ◽  
Motor Controller ◽  
Automatic Code

Based on the study of the Matlab rapid prototyping technology, the rapid prototyping design approach is presented, which is widely applicable to all kinds of microcontroller. Through the modification of the system target file, the automatic code generation function of the Matlab could support more microcontrollers. The rapid prototyping of in-wheel motor controller is designed through this approach. Then the embedded C codes are generated according to the vector control algorithm model which is validated by simulation, and the rapid prototyping of in-wheel motor controller is achieved. The proposed approach is validated through the comparison to hand-written code.

Supervisory Machining Control: Design Approach and Experiments

CIRP Annals ◽  
1998 ◽  
Vol 47 (1) ◽  
pp. 301-306 ◽  
Author(s):  
Robert G. Landers ◽  
Galip A. Ulsoy
Keyword(s):  
Control Design ◽  
Design Approach ◽  
Machining Control

scholarly journals A Model-Based Control Design Approach for Linear Free-Piston Engines

2017 ◽  
Vol 139 (11) ◽  
Author(s):  
T. N. Kigezi ◽  
J. F. Dunne
Keyword(s):  
Control Design ◽  
Linear Quadratic Regulator ◽  
Design Approach ◽  
Linear Quadratic ◽  
Free Piston ◽  
Model Based Control ◽  
Model Based ◽  
Bottom Dead Center ◽  
Free Piston Engine ◽  
Advanced Control

A general design approach is presented for model-based control of piston position in a free-piston engine (FPE). The proposed approach controls either “bottom-dead-center” (BDC) or “top-dead-center” (TDC) position. The key advantage of the approach is that it facilitates controller parameter selection, by the way of deriving parameter combinations that yield both stable BDC and stable TDC. Driving the piston motion toward a target compression ratio is, therefore, achieved with sound engineering insight, consequently allowing repeatable engine cycles for steady power output. The adopted control design approach is based on linear control-oriented models derived from exploitation of energy conservation principles in a two-stroke engine cycle. Two controllers are developed: A proportional integral (PI) controller with an associated stability condition expressed in terms of controller parameters, and a linear quadratic regulator (LQR) to demonstrate a framework for advanced control design where needed. A detailed analysis is undertaken on two FPE case studies differing only by rebound device type, reporting simulation results for both PI and LQR control. The applicability of the proposed methodology to other common FPE configurations is examined to demonstrate its generality.

A modal multimodel control design approach applied to aircraft autopilot design

1997 ◽  
Author(s):  
Yann L ◽  
Jean-Francois Magni ◽  
Carsten Doell ◽  
Caroline Chiappa ◽  
Yann L ◽  
...  
Keyword(s):  
Control Design ◽  
Design Approach

Optimally Allocated Nonlinear Robust Control of a Reusable Launch Vehicle During Re-entry

2020 ◽  
Vol 08 (01) ◽  
pp. 33-48
Author(s):  
S. Mathavaraj ◽  
Radhakant Padhi
Keyword(s):  
Robust Control ◽  
Control Design ◽  
Launch Vehicle ◽  
The Body ◽  
Design Approach ◽  
Dynamic Inversion ◽  
Nonlinear Robust Control ◽  
Reusable Launch Vehicle ◽  
Aerodynamic Control ◽  
Nonlinear Robust

A nonlinear robust control design approach is presented in this paper for a prototype reusable launch vehicle (RLV) during the critical re-entry phase where the margin for error is small. A nominal control is designed following the dynamic inversion philosophy for the reaction control system (RCS) and optimal dynamic inversion philosophy for the aerodynamic control actuation. This nominal controller is augmented next with a barrier Lyapunov function based neuro-adaptive control in the inner loop, which enforces the body rates of the actual system i.e. in presence of uncertainties to track the closed-loop body rates of the nominal plant. A fusion logic is also presented for fusing the RCS and aerodynamic control. The control design approach presented here assures robust tracking of the guidance commands despite the presence of uncertainties in the plant model. Extensive nonlinear six degree-of-freedom (DoF) simulation study, which embeds additional practical constraints such as actuator delay in the aerodynamic control actuation and constraints related to the RCS, shows that the proposed design approach has both good command following as well as robustness characteristics.

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