Speed control of a DC motor using a feedforward computed torque control scheme

Author(s):  
N. Barakat ◽  
R. Rajagopalan
Author(s):  
Farsam Farzadpour ◽  
Hossein Faraji

A lot of endeavors regarding the development of slider–crank mechanism in the ship’s propeller have been made and continue to be investigated. This paper presents the position control of a slider–crank mechanism, which is driven by the piston cylinder actuator to adjust the blade pitch angle. An effective motion control strategy known as the computed torque control can ensure global asymptotic stability. However, it is essential for this control scheme to have a precise and accurate system model. Moreover, large amounts of changes in the output and even instability of process are caused by a small amount of measurement or process noise, when the derivative gain is sufficiently large. Accordingly, in order to compensate any parameter deviation and disturbances as well as minimizing errors, we have presented a genetic algorithm-based computed torque control system which adjusts the proportional-derivative gains. Computer simulations are performed which reveals that asymptotically stability is reached and it confirms the effectiveness and high tracking capability of the proposed control scheme.


2014 ◽  
Vol 490-491 ◽  
pp. 1151-1156
Author(s):  
William Takeshi Pereira ◽  
Tatiana F.P.A.T. Pazelli

In this paper parametric identification algorithms are applied to estimate dynamic parameters of a space manipulator, whose model is described through the Dynamically Equivalent Manipulator approach. Gradient and least-square methods are applied in order to evaluate capability of the schemes. A sufficiently rich input signal is applied as reference trajectory for joints position, while a simple model-based PID computed torque control scheme is responsible for keeping the trajectory tracking. Simulation results for a two degree-of-freedom space manipulator have shown the effectiveness of the proposal.


Author(s):  
Q Li ◽  
S K Tso ◽  
A N Poo

An enhanced computed-torque control approach, which is developed based on the intuitive design concept of the internal model control structure, is proposed in this paper. Both theoretical analyses and simulation studies on a two-link robot prove that the robustness of this enhanced algorithm can surpass that of the conventional computed-torque control scheme by a large extent.


Robotica ◽  
2021 ◽  
pp. 1-13
Author(s):  
Xiaogang Song ◽  
Yongjie Zhao ◽  
Chengwei Chen ◽  
Liang’an Zhang ◽  
Xinjian Lu

SUMMARY In this paper, an online self-gain tuning method of a PD computed torque control (CTC) is used for a 3UPS-PS parallel robot. The CTC is applied to the 3UPS-PS parallel robot based on the robot dynamic model which is established via a virtual work principle. The control system of the robot comprises a nonlinear feed-forward loop and a PD control feedback loop. To implement real-time online self-gain tuning, an adjustment method based on the genetic algorithm (GA) is proposed. Compared with the traditional CTC, the simulation results indicate that the control algorithm proposed in this study can not only enhance the anti-interference ability of the system but also improve the trajectory tracking speed and the accuracy of the 3UPS-PS parallel robot.


2021 ◽  
pp. 1-9
Author(s):  
G. Perumalsamy ◽  
Deepak Kumar ◽  
Joel Jose ◽  
S. Joseph Winston ◽  
S. Murugan

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