On identification of piecewise-affine models for systems with friction and its application to electro-mechanical throttles

Ren, Zhenxing; Kroll, Andreas; Sofsky, Manfried; Laubenstein, Friedhelm

doi:10.3182/20120711-3-be-2027.00137

Cited by 6 publications

(5 citation statements)

References 7 publications

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“…1. Typical electro-mechanical throttle and its technology scheme [Ren et al (2012)] The collected open-loop data shows that the output signal has randomness due to the presence of uncertainties, mainly due to friction. A multisine signal, having the length of n = 1000 samples was chosen as the input signal.…”

Section: Resultsmentioning

confidence: 99%

“…A multisine signal, having the length of n = 1000 samples was chosen as the input signal. This phase optimized multisine signal was so parameterized that the throttle moves within its operation range [Ren et al (2012[Ren et al ( , 2013. The sampling time was 1 milli second.…”

Section: Resultsmentioning

confidence: 99%

“…An electro-mechanical throttle is chosen as a case study for identification. The throttle has been studied extensively by Ren et al (2012Ren et al ( , 2013. It has shown stochastic behavior due to friction [Zaidi et al (2012)].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

On Identifying Envelop Type Nonlinear Output Error Takagi-Sugeno Fuzzy Models for Dynamic Systems with Uncertainties

Zaidi

Kroll

2014

IFAC Proceedings Volumes

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

On Identifying Envelop Type Nonlinear Output Error Takagi-Sugeno Fuzzy Models for Dynamic Systems with Uncertainties

Zaidi

Kroll

2014

IFAC Proceedings Volumes

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“…Furthermore, in [7] it is shown that discrete-time piecewise affine systems are equivalent to other classes of hybrid systems such as mixed logical dynamical systems and linear complementary systems under mild well-posedness assumption. Also, system identification methods such as [24,6,19] can be used to identify a PWL model of a nonlinear system. PWL systems have been recently used for modeling and control of systems in different application domains.…”

Section: Introductionmentioning

confidence: 99%

Robust observer-based fault estimation and accommodation of discrete-time piecewise linear systems

Tabatabaeipour

Bak

2014

Journal of the Franklin Institute

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In this paper a new integrated observer-based fault estimation and accommodation strategy for discretetime piecewise linear (PWL) systems subject to actuator faults is proposed. A robust estimator is designed to simultaneously estimate the state of the system and the actuator fault. Then, the estimate of fault is used to compensate for the effect of the fault. By using the estimate of fault and the states, a fault tolerant controller using a PWL state feedback is designed. The observer-based fault-tolerant controller is obtained by the interconnection of the estimator and the state feedback controller. We show that separate design of the state feedback and the estimator results in the stability of the overall closed-loop system. In addition, the input-tostate stability (ISS) gain for the closed-loop system is obtained and a procedure for minimizing it is given. All of the design conditions are formulated in terms of linear matrix inequalities (LMI) which can be solved efficiently. Also, performance of the estimator and the state feedback controller are minimized by solving convex optimization problems. The efficiency of the method is demonstrated by means of a numerical example.

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“…Moreover, PWA systems can approximate nonlinear systems effectively Richter et al (2011). Also, system identification methods such as Tabatabaeipour et al (2006), Tabatabaeipour et al (2006), Ferrari-Trecate et al (2003, and Ren et al (2012) can be used to identify a PWA model of a nonlinear system. For PFTC and AFTC of PWA system see Tabatabaeipour et al (2012), Richter et al (2011) and Tabatabaeipour and Bak (2014) and references therein.…”

Section: Introductionmentioning

confidence: 99%

Configuration selection for reconfigurable control of piecewise affine systems

Tabatabaeipour

Gholami

Bak

2015

International Journal of Control

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In this paper, the problem of configuration selection i.e. sensor/actuator placement for piecewise affine (PWA) systems subject to both sensor and actuator faults is considered. A method is proposed that provides a tool for the design phase to decide about the optimal placement of sensor/actuators where the reconfigurability of the system subject to sensor and actuator faults is also taken into account. Using a lattice of possible configurations (sensor/actuator placements), the reconfigurability of the system subject to faults for each configuration is evaluated and based on that one can draw conclusions about the reconfigurability of the system and the optimal configuration in the architecture design phase. A reconfigurable control must ensure stability of the reconfigured system and, if possible, a graceful degradation in the performance. Therefore, in the proposed reconfigurability analysis, we consider both stabilizability and performance of the system. The efficiency of the proposed method is demonstrated on several numerical examples.

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On identification of piecewise-affine models for systems with friction and its application to electro-mechanical throttles

Cited by 6 publications

References 7 publications

On Identifying Envelop Type Nonlinear Output Error Takagi-Sugeno Fuzzy Models for Dynamic Systems with Uncertainties

On Identifying Envelop Type Nonlinear Output Error Takagi-Sugeno Fuzzy Models for Dynamic Systems with Uncertainties

Robust observer-based fault estimation and accommodation of discrete-time piecewise linear systems

Configuration selection for reconfigurable control of piecewise affine systems

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