Continuous Finite-Time Torque Control for Flexible Assistance Exoskeleton with Delay Variation Input

Robotica ◽  
2020 ◽  
pp. 1-26
Author(s):  
Tao Xue ◽  
ZiWei Wang ◽  
Tao Zhang ◽  
Ou Bai ◽  
Meng Zhang ◽  
...  

SUMMARY Accurate torque control is a critical issue in the compliant human–robot interaction scenario, which is, however, challenging due to the ever-changing human intentions, input delay, and various disturbances. Even worse, the performances of existing control strategies are limited on account of the compromise between precision and stability. To this end, this paper presents a novel high-performance torque control scheme without compromise. In this scheme, a new nonlinear disturbance observer incorporated with equivalent control concept is proposed, where the faster convergence and stronger anti-noise capability can be obtained simultaneously. Meanwhile, a continuous fractional power control law is designed with an iteration method to address the matched/unmatched disturbance rejection and global finite-time convergence. Moreover, the finite-time stability proof and prescribed control performance are guaranteed using constructed Lyapunov function with adding power integrator technique. Both the simulation and experiments demonstrate enhanced control accuracy, faster convergence rate, perfect disturbance rejection capability, and stronger robustness of the proposed control scheme. Furthermore, the evaluated assistance effects present improved gait patterns and reduced muscle efforts during walking and upstair activity.

Author(s):  
Shuzhen Diao ◽  
Wei Sun ◽  
Le Wang ◽  
Jing Wu

AbstractThis study considers the tracking control problem of the nonstrict-feedback nonlinear system with unknown backlash-like hysteresis, and a finite-time adaptive fuzzy control scheme is developed to address this problem. More precisely, the fuzzy systems are employed to approximate the unknown nonlinearities, and the design difficulties caused by the nonlower triangular structure are also overcome by using the property of fuzzy systems. Besides, the effect of unknown hysteresis input is compensated by approximating an intermediate variable. With the aid of finite-time stability theory, the proposed control algorithm could guarantee that the tracking error converges to a smaller region. Finally, a simulation example is provided to further verify the above theoretical results.


2011 ◽  
Vol 301-303 ◽  
pp. 1384-1388
Author(s):  
Yan Yan ◽  
Shuang He Yu ◽  
Zhen Qiang Yang ◽  
Jia Lu Du

A finite-time speed tracking control for a permanent-magnet synchronous motor (PMSM) is presented. The proposed control scheme depends on finite-time convergence of a fractional power differential equation. A continuous feedback controller for a PMSM is constructed based on the double integrator form of PMSM with a tricky coordination transformation. The simulation results show its efficiency.


Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4693 ◽  
Author(s):  
Pedro Gonçalves ◽  
Sérgio Cruz ◽  
André Mendes

Recently, the control of multiphase electric drives has been a hot research topic due to the advantages of multiphase machines, namely the reduced phase ratings, improved fault tolerance and lesser torque harmonics. Finite control set model predictive control (FCS-MPC) is one of the most promising high performance control strategies due to its good dynamic behaviour and flexibility in the definition of control objectives. Although several FCS-MPC strategies have already been proposed for multiphase drives, a comparative study that assembles all these strategies in a single reference is still missing. Hence, this paper aims to provide an overview and a critical comparison of all available FCS-MPC techniques for electric drives based on six-phase machines, focusing mainly on predictive current control (PCC) and predictive torque control (PTC) strategies. The performance of an asymmetrical six-phase permanent magnet synchronous machine is compared side-by-side for a total of thirteen PCC and five PTC strategies, with the aid of simulation and experimental results. Finally, in order to determine the best and the worst performing control strategies, each strategy is evaluated according to distinct features, such as ease of implementation, minimization of current harmonics, tuning requirements, computational burden, among others.


2018 ◽  
Vol 141 (1) ◽  
Author(s):  
Chaowu Jin ◽  
Kaixuan Guo ◽  
Yuanping Xu ◽  
Hengbin Cui ◽  
Longxiang Xu

At present, most of the magnetic bearing system adopts the classical proportional–integral–derivative (PID) control strategy. However, the external disturbances, system parameter perturbations, and many other uncertain disturbances result in PID controller difficult to achieve high performance. To solve this problem, a linear active disturbance rejection controller (LADRC) based on active disturbance rejection controller (ADRC) theory was designed for magnetic bearing. According to the actual prototype parameters, the simulation model was built in matlab/simulink. The step and sinusoidal disturbances with PID and LADRC control strategies were simulated and compared. Then, the experiments of step and sinusoidal disturbances were performed. When control parameters are consistent, the experiment showed that the rotor displacement fluctuation decreased by 28.6% using the LADRC than PID control under step disturbances and decreased by around 25.8% under sinusoidal disturbances. When the rotor is running at 24,000 r/min and 27,000 r/min, the displacement of rotor is reduced by around 15% and 13.7%, respectively. Rotate the rotor with step disturbances and sinusoidal disturbances. It can also be seen that LADRC has the advantages of fast response time and good anti-interference. The experiments indicate that the LADRC has better anti-interference performance compared with PID controller.


2014 ◽  
Vol 556-562 ◽  
pp. 1396-1399 ◽  
Author(s):  
Zhao Gang ◽  
Hong Jie Wang

At present, the pure electric vehicles with a permanent magnet synchronous motor (PMSM) vector control (VC) and direct torque control (DTC) are mainly control method. These two kinds of control mode are considered as a high performance PMSM control strategy which has been widely used in practice [5]. Starting from the mathematical model of PMSM, two kinds of control strategies are to be the theoretical analysis, so that the control thoughts and the composition of control system has a profound understanding to applies two kinds of strategies to control of PMSM. Simulink modeling and simulation results proved that vector control is better than that of direct torque.


2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Shuanghe Yu ◽  
Lina Jin ◽  
Kai Zheng ◽  
Jialu Du

Finite-time control scheme for speed regulation of permanent magnet synchronous motor (PMSM) is investigated under the port-controlled Hamiltonian (PCH), terminal sliding mode (TSM), and fast TSM stabilization theories. The desired equilibrium is assigned to the PCH structure model of PMSM by maximum torque per ampere (MTPA) principle, and the desired Hamiltonian function of state error is constructed in the form of fractional power structure as TSM and fast TSM, respectively. Finite-time TSM and fast TSM controllers are designed via interconnection and damping assignment passivity-based control (IDA-PBC) methodology, respectively, and the finite-time stability of the desired equilibrium point is also achieved under the PCH framework. Simulation results validate the improved performance of the presented scheme.


2019 ◽  
Vol 11 (3) ◽  
pp. 168781401983685 ◽  
Author(s):  
Congyan Chen ◽  
Shichen Ding ◽  
Shihua Li

The Peltier is a refrigeration device and usually used in the form of single layer. Sometimes single-layer Peltier may not have sufficient refrigerating capacity with deeper application. To this end, a double-layer Peltier system is proposed in this article. With the increasing layers, the nonlinearity of the system is enhanced and the multiple variables are coupled, bringing about control difficulty. To solve these control problems and promote the disturbance rejection performance, a composite controller is presented, consisting of feedback regulation based on finite-time control and feed-forward compensation based on finite-time disturbance observer. Then, finite-time Lyapunov stability analysis is shown to prove that this control scheme can converge to the equilibrium point in finite time. Last but not least, simulation and experiment are conducted to verify that the proposed strategy has not only a rapid convergence performance but also a prominent disturbance rejection property.


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