Tracking control for Pneumatic muscle actuators with unknown dynamics and output constraints
Xingchen Li , Xifeng Gao
Biomimetic Intelligence and Robotics ›› 2025, Vol. 5 ›› Issue (4) : 100252
Among the various soft actuators explored for robotic applications, the pneumatic muscle actuators (PMAs) stand out because of many advantages, such as compliant structures, high power-to-weight/volume ratios, and lightweight materials. Despite these advantages, their inherent nonlinearities and time-varying dynamics pose significant challenges for tracking control. To tackle this challenge, we present a robust control method that is structurally simple and computationally inexpensive. Such a method is comprised of an error transformation scheme, which is deeply explored to withstand model uncertainties to accomplish the output tracking with assigned accuracy, and a tuning function for relaxing requirements on the initial conditions. Experimental results of the PMA are presented to validate the concepts.
Pneumatic muscle actuators (PMAs) / Unknown dynamics / Tracking control / Assigned accuracy / Output constraints
| [1] |
|
| [2] |
|
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
|
| [21] |
|
| [22] |
|
| [23] |
|
| [24] |
|
| [25] |
|
| [26] |
|
| [27] |
|
| [28] |
|
| [29] |
|
| [30] |
|
| [31] |
|
| [32] |
|
| [33] |
|
| [34] |
|
| [35] |
|
| [36] |
|
| [37] |
|
| [38] |
|
| [39] |
|
| [40] |
|
| [41] |
|
| [42] |
|
| [43] |
|
| [44] |
|
| [45] |
|
| [46] |
|
| [47] |
|
| [48] |
|
| [49] |
|
/
| 〈 |
|
〉 |