Modeling and Control of Human Motor System with Generalized Predictive Control

2006 ◽  
Author(s):  
L. Lan ◽  
K. Zhu ◽  
D.g. Zhang
Keyword(s):  
Predictive Control ◽  
Motor System ◽  
Generalized Predictive Control ◽  
Modeling And Control ◽  
Human Motor ◽  
And Control

BIOMECHANICAL STABILITY ANALYSIS OF THE λ-MODEL CONTROLLING ONE JOINT

2007 ◽  
Vol 17 (03) ◽  
pp. 193-206 ◽  
Author(s):  
L. LAN ◽  
K. Y. ZHU
Keyword(s):  
Equilibrium Point ◽  
Motor System ◽  
Jacobian Matrix ◽  
System Modeling ◽  
Neuromuscular Disorders ◽  
Biomechanical Stability ◽  
Modeling And Control ◽  
Human Motor ◽  
The Stability ◽  
And Control

Computer modeling and control of the human motor system might be helpful for understanding the mechanism of human motor system and for the diagnosis and treatment of neuromuscular disorders. In this paper, a brief view of the equilibrium point hypothesis for human motor system modeling is given, and the λ-model derived from this hypothesis is studied. The stability of the λ-model based on equilibrium and Jacobian matrix is investigated. The results obtained in this paper suggest that the λ-model is stable and has a unique equilibrium point under certain conditions.

The Research of Air Precooling System Based on Generalize Predictive Control Strategy

2013 ◽  
Vol 433-435 ◽  
pp. 1091-1098
Author(s):  
Wei Bo Yu ◽  
Cui Yuan Feng ◽  
Ting Ting Yang ◽  
Hong Jun Li
Keyword(s):  
Predictive Control ◽  
Control Strategy ◽  
Control Algorithm ◽  
Exchange Process ◽  
Generalized Predictive Control ◽  
Matlab Simulation ◽  
Control Effect ◽  
Heat Exchange Process ◽  
Complex Control System ◽  
And Control

The air precooling system heat exchange process is a complex control system with features such as: nonlinear, lag and random interference. So choose Generalized Predictive Control Algorithm that has low model dependence, good robustness and control effect, as well as easy to implement. But due to the large amount of calculation of traditional generalized predictive control and can't juggle quickness and overshoot problem, an improved generalized predictive control algorithm is proposed, then carry out the MATLAB simulation, the experimental results show that the algorithm can not only greatly reduce the amount of computation, but also can restrain the overshoot and its rapidity.

A Novel Generalized Predictive Control and its Application on Active Clearance Control of Aero-Engine

2012 ◽  
Vol 616-618 ◽  
pp. 1922-1925
Author(s):  
Kai Peng ◽  
Ding Fan ◽  
Lei Zhang ◽  
Qiu Xia Wang
Keyword(s):  
Predictive Control ◽  
Gas Turbines ◽  
Dynamic Performance ◽  
Tip Clearance ◽  
Generalized Predictive Control ◽  
Aero Engine ◽  
Blade Tip ◽  
Additional Service ◽  
And Control ◽  
Clearance Control

Turbine blade tip clearance continues to be a concern in the design and control of gas turbines. Ever increasing demands for improved efficiency and higher operating temperatures require more stringent tolerances on turbine tip clearance. An implicit active generalized predictive control with AR error modification and fuzzy adjustment on control horizon of aero-engine turbine tip clearance is presented and evaluated. The results show the resultant active tip clearance control system has good steady and dynamic performance and benefits of increased efficiency, reduced specific fuel consumption, and additional service life.

The Modeling and Control of Leaching Rate in Nickel Stir Leaching Process of Sulfuric Acid

2012 ◽  
Vol 485 ◽  
pp. 165-168
Author(s):  
Qiang Li ◽  
Cheng Zhi Yang ◽  
Wen Bo Zhang ◽  
Yang Yu
Keyword(s):  
Computer Simulation ◽  
Sulfuric Acid ◽  
Predictive Control ◽  
Pid Control ◽  
Rate Control ◽  
Leaching Rate ◽  
Modeling And Control ◽  
Leaching Process ◽  
And Control ◽  
Nickel Leaching

Leaching rate is one of the key parameters in the nickel stir leaching process of sulfuric acid and it is hard to online measure directly due to a lot of uncertain facts. In this paper, the prediction model of nickel leaching rate is established by least squares identification method. A controller combining predictive control(PFC) and PID control is designed to control nickel leaching rate in stir leaching process of sulfuric acid and better results of leaching rate control is proved by computer simulation.

Modeling and control through leadership of a refined flocking system

2014 ◽  
Vol 25 (02) ◽  
pp. 255-282 ◽  
Author(s):  
Alfio Borzì ◽  
Suttida Wongkaew
Keyword(s):  
Predictive Control ◽  
Control Strategy ◽  
Social Systems ◽  
Open Loop ◽  
Modeling And Control ◽  
Control Scheme ◽  
Nonlinear Conjugate Gradient ◽  
Optimality Systems ◽  
And Control ◽  
Conjugate Gradient Solver

A new refined flocking model that includes self-propelling, friction, attraction and repulsion, and alignment features is presented. This model takes into account various behavioral phenomena observed in biological and social systems. In addition, the presence of a leader is included in the system in order to develop a control strategy for the flocking model to accomplish desired objectives. Specifically, a model predictive control scheme is proposed that requires the solution of a sequence of open-loop optimality systems. An accurate Runge–Kutta scheme to discretize the optimality systems and a nonlinear conjugate gradient solver are implemented and discussed. Numerical experiments are performed that investigate the properties of the refined flocking model and demonstrate the ability of the control strategy to drive the flocking system to attain a desired target configuration and to follow a given trajectory.

scholarly journals Modeling and Control of Crane Overload Protection During Marine Lifting Operation Based on Model Predictive Control

2017 ◽  
Author(s):  
Zhengru Ren ◽  
Roger Skjetne ◽  
Zhen Gao
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Pid Controller ◽  
Degrees Of Freedom ◽  
Multiple Shooting ◽  
Control Input ◽  
Lumped Mass ◽  
Modeling And Control ◽  
Overload Protection ◽  
And Control

This paper deals with a nonlinear model predictive control (NMPC) scheme for a winch servo motor to overcome the sudden peak tension in the lifting wire caused by a lumped-mass payload at the beginning of a lifting off or a lowering operation. The crane-wire-payload system is modeled in 3 degrees of freedom with the Newton-Euler approach. Direct multiple shooting and real-time iteration (RTI) scheme are employed to provide feedback control input to the winch servo. Simulations are implemented with MATLAB and CaSADi toolkit. By well tuning the weighting matrices, the NMPC controller can reduce the snatch loads in the lifting wire and the winch loads simultaneously. A comparative study with a PID controller is conducted to verify its performance.

Adaptive nonlinear generalized predictive control for hypersonic vehicle with unknown parameters and control constraints

2017 ◽  
Vol 233 (2) ◽  
pp. 510-532 ◽  
Author(s):  
Tingting Tang ◽  
Ruiyun Qi ◽  
Bin Jiang
Keyword(s):  
Predictive Control ◽  
Estimation Method ◽  
Hypersonic Vehicle ◽  
Control Surface ◽  
Generalized Predictive Control ◽  
Parameter Uncertainties ◽  
Unknown Parameters ◽  
Adaptive Parameter ◽  
Boundedness Problem ◽  
And Control

In this article, an adaptive nonlinear generalized predictive controller is developed for the hypersonic vehicle with unknown parameter uncertainties and control surface constraints. A nominal controller based on generalized predictive control is first developed for the nominal longitudinal model. Considering the complicated practical flying environment and outer unknown disturbances, a parametric longitudinal dynamics model of the hypersonic vehicle is constructed. Then, an adaptive parameter estimation method is proposed to update the unknown controller parameters and parameter projection is applied to solve the control singularity and the parameter boundedness problem. Control surface is restricted to deflect in a range. To satisfy the above constraint, the predictive time should be selected appropriately. Through a large number of simulation experiments, the suitable ranges of the predictive time under different commands are given. All closed-loop signals are guaranteed to be bounded. And simulation results verify the effectiveness of the proposed controller.

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