2015
DOI: 10.1002/asjc.1187
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Valve Position‐based Control at Engine Key‐on of an Electro‐mechanical Valve Actuator for Camless Engines: A Robust Controller Tuning Via Bifurcation Analysis

Abstract: Electro-mechanical valve actuators (EMVA) formed by two opposed electromagnets and two balanced springs are appealing solutions to implement advanced combustion concepts for camless engines. A crucial control problem for this valve actuator regards the first valve lift manoeuvre (termed 'first catching') to be rapidly performed after each insertion of the engine ignition key, when the EMVA rests at middle position where electromagnets offer low control authority. The control problem is challenging due to syste… Show more

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Cited by 8 publications
(4 citation statements)
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“…The waveform in Figure 20 shows the phase voltage and phase current of an SRM phase, respectively. The results confirm that the motor is stably driven at the rated speed of 32,000 rpm by adjusting the advance angle at full duty [17][18][19][20][21][22][23][24]. Figure 21 depicts a suction power tester that can be used to check the suction power of the cleaners.…”
Section: Driving Test Of the Prototype Two-phase 4/2 Pole Srm And DC mentioning
confidence: 62%
“…The waveform in Figure 20 shows the phase voltage and phase current of an SRM phase, respectively. The results confirm that the motor is stably driven at the rated speed of 32,000 rpm by adjusting the advance angle at full duty [17][18][19][20][21][22][23][24]. Figure 21 depicts a suction power tester that can be used to check the suction power of the cleaners.…”
Section: Driving Test Of the Prototype Two-phase 4/2 Pole Srm And DC mentioning
confidence: 62%
“…According to the above improved fuzzy PID algorithm, the designed simulation algorithm is shown in Fig. Mohusuanfa_ block is a joint interface (Connecting the Simulink and Amesim softwares) [27][28][29][30][31][32][33][34][35][36][37][38][39][40][41]. The top two fuzzy blocks are EC fuzzy rules, but only one is accomplished; the below fuzzy block is E fuzzy rules.…”
Section: Establishing the Simulation Modelmentioning
confidence: 99%
“…Sci7‐block is the fuzzy input; Sci8‐block is the fuzzy output. Mohusuanfa_ block is a joint interface (Connecting the Simulink and Amesim softwares) .…”
Section: Simulation Analysismentioning
confidence: 99%
“…Some existing bifurcation dynamics of a given nonlinear model are improved by designing a controller, thereby obtaining some approving dynamical behaviors. Various control processes have been presented on complex networks [12][13][14][15][16][17][18][19][20][21][22], but bifurcation control is rarely cited on the complex network.…”
Section: Introductionmentioning
confidence: 99%