“…As shown in Fig. 9, the HIL testing system is based on inexpensive xPC with a physical controller, which controls the microgrid through a serial card on computer motherboard [36][37][38].…”
Section: Simulation and Experimental Resultsmentioning
confidence: 99%
“…In the above relation, [Δ 1 Δ 2 ] T represent system uncertainties. Therefore, (38) is rewritten as follows:…”
Section: Direct Power Control Of Dfig Based On Smcmentioning
“…As shown in Fig. 9, the HIL testing system is based on inexpensive xPC with a physical controller, which controls the microgrid through a serial card on computer motherboard [36][37][38].…”
Section: Simulation and Experimental Resultsmentioning
confidence: 99%
“…In the above relation, [Δ 1 Δ 2 ] T represent system uncertainties. Therefore, (38) is rewritten as follows:…”
Section: Direct Power Control Of Dfig Based On Smcmentioning
“…The performance of four controllers in a real environment is compared by conducting an HILS experiment [40]. Figure 9 shows the HILS system constructed by xPC Target.…”
A novel robust controller is proposed in this study to realize the precise motion control of a cell puncture mechanism (CPM) driven by piezoelectric ceramics (PEAs). The entire dynamic model of CPM is constructed based on the Bouc-Wen model, and the nonlinear part of the dynamic model is optimized locally to facilitate the construction of a robust controller. A model-based, nonlinear robust controller is constructed using time-delay estimation (TDE) and fractional-order nonsingular terminal sliding mode (FONTSM). The proposed controller does not require prior knowledge of unknown disturbances due to its real-time online estimation and compensation of unknown terms by using the TDE technology. The controller also has finite-time convergence and high-precision trajectory tracking capabilities due to FONTSM manifold and fast terminal sliding mode-type reaching law. The stability of the closed-loop system is proved by Lyapunov stability theory. Computer simulation and hardware-in-loop simulation experiments of CPM verify that the proposed controller outperforms traditional terminal sliding mode controllers, such as the integer-order or model-free controller. The proposed controller can also continuously output without chattering and has high control accuracy. Zebrafish embryo is used as a verification target to complete the cell puncture experiment. From the engineering application perspective, the proposed control strategy can be effectively applied in a PEA-driven CPM.
“…The power-smoothing strategies will be studied in each operation mode, and the proposed control strategies will be verified with a hardware-in-loop real-time co-simulation platform based on realtime digital simulator and GH bladed [22]. A 1.5 MW DFIG-based WECS is connected to the terminal of a 10 kV power distribution network, as shown in Fig.…”
Section: Power-smoothing Strategies and Simulation Verificationsmentioning
confidence: 99%
“…Section 3.3 shows the torque limit 'T max = P n /ω' may cause negative damping on the drive train. This negative damping, however, could be compensated by the additional active damping method in [22]. Thus, take full advantage of the power-smoothing effect of 'T max = P n /ω'.…”
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