Current Issue : July - September Volume : 2019 Issue Number : 3 Articles : 5 Articles
This paper proposes a novel adaptive fuzzy super-twisting slidingmode control scheme for microgyroscopes with unknown model\nuncertainties and external disturbances. Firstly, an adaptive algorithm is used to estimate the unknown parameters and angular\nvelocity of microgyroscopes. Secondly, in order to improve the performance of the system and the superiority of the super-twisting\nalgorithm, this paper utilizes the universal approximation characteristic of the fuzzy system to approach the gain of the supertwisting\nsliding mode controller and identify the gain of the controller online, realizing the adaptive adjustment of the controller\nparameters. Simulation results verify the superiority and the effectiveness of the proposed approach, compared with adaptive supertwisting\nsliding mode control without fuzzy approximation; the proposed method is more effective....
For networked control systems, the bandwidth resource is always limited; thus besides control performance, the efficient resource\nutilization is also crucial. In this paper, a novel event-triggered control and resource scheduling codesign approach is proposed to\nstabilize the uncertain dynamic systems which are subject to time-varying network introduced delays. A discrete switched system\nwith uncertain parameters is employed to model the event-triggered control system with time-varying network-induced delays.\nBased on the model, a control law, scheduling strategy, and event-triggered condition codesign approach is investigated. A set of\nlinear matrix inequalities are used to tackle the codesign problem. As the solution to the problem, a control law is obtained to\nguarantee stability or certain performance properties; an event-triggered condition and a scheduling strategy are also obtained to\nefficiently utilize the limited resources. That is, the event-triggered condition makes the network accession be triggered when it\nis necessary.The scheduling strategy guarantees the control loop suffering the worst control performance can get the authority to\naccess the network. The proposed approach is evaluated through simulated experiments, with respect to the networked control\nof inverted pendulums. The results show that the proposed event-triggered control and scheduling approach can achieve better\ncontrol performances with lower average resource consumption in comparison with the time-based control strategy....
Inerter-based dampers have gained great popularity in structural vibration control. In this\npaper, equivalent linearization methods (ELMs) for a single-degree-of-freedom (SDOF) system with\na clutching inerter damper (CID) are studied. The comparison of a SDOF system with a CID and an\ninertial mass damper (IMD) shows the advantage of the CID. Considering that the system with the\nCID is nonlinear, which is problematic for its performance evaluation and the integrated design of\nthe structure and control system, three equivalent linearization methods based on different\nprinciples are proposed and discussed in this paper. The CID is considered to be equal to a\ncombination of an IMD and a viscous damper. The equivalent inertance and damping can be\ncalculated using the obtained formulas for all methods. In addition, all methods are compared in a\nnumerical study. Results show that the ELM based on period and energy is recommended for small\ninertance-mass ratios....
This paper proposes aMIMOExplicitGeneralized Predictive Control (EGPC) forminimizing payload oscillation of aGantry Crane\nSystem subject to input and output constraints. In order to control the crane system efficiently, the traditional GPC formulation,\nbased on online Quadratic Programming (QP), is rewritten as a multiparametric quadratic programming problem (mp-QP). An\nexplicit Piecewise Affine (PWA) control law is obtained and holds the same performance as online QP. To test effectiveness, the\nproposed method is compared with two GPC formulations: one that handle constraints (CGPC) and another that does not handle\nconstraints(UGPC).Results showthat both EGPCandCGPChave better performance, reducing the payload swingwhen compared\nto UGPC. Also both EGPC and CGPC are able to control the system without constraint violation. When comparing EGPC to\nCGPC, the first is able to calculate (during time step) the control action faster than the second. The simulations prove that the\noverall performance of EGPC is superior to the other used formulations....
The advent of Industry 4.0(I4.0) has pushed technology beyond its physical limits, making\nthe process prone to errors and poorer performance. Whether it is about smart manufacturing where\nmass customization is envisaged, or collaborative humanâ??robot engineering systems, the pyramid\nof process operation has changed to a matrix form and control is the backbone of all process\nelements. The paper gives a concise guideline as to how, when, where, and what to apply when it\ncomes to choosing the most suitable control strategy as a function of multi-parameter objective\noptimization. Both proportional-integral-derivative (PID) and model predictive control (MPC)\ncontrol are addressed in this context....
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