Most industrial processes are nonlinear. In such a case only a nonlinear model valid for the whole working area can ensure a good controller design. The nonlinear process is approximated by a multi-model consisting of...
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Most industrial processes are nonlinear. In such a case only a nonlinear model valid for the whole working area can ensure a good controller design. The nonlinear process is approximated by a multi-model consisting of the intelligent combination of some linear sub-models. As a very practical way the following identification strategy was used: independent model parameter estimation in the different working points and the calculation of the global valid model output as the weighted sum of the sub-models. As a weighting function the Gaussian function is used. The parameters of the Gaussian function were chosen either without or with optimization of the identification cost function. The global valid nonlinear model was used for model based predictive control. A heat exchanger example illustrates the method.
The paper presents a control system design technique in delta domain for IMC (Internal Model control) structure. Also a generalised form for delta domain Dead-beat control algorithm is given, a hybrid implementation o...
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The paper presents a control system design technique in delta domain for IMC (Internal Model control) structure. Also a generalised form for delta domain Dead-beat control algorithm is given, a hybrid implementation of the controller (Z-domain combined with delta domain) is presented and its architecture is compared with the pure deltadomain implementation. The effect of placing the limitations in the IMC structure is also studied. The hybrid control structure is compared with a similar Dead-beat controller in Z-domain for second and third order plants (benchmarks). An illustrative sensitivity analysis between the hybrid control system and the Z-domain system has been performed.
The degree of machine automation is continuously increasing, because computer technology, control software, telecommunication technology and visualization systems are also continuously improved. This makes the use of ...
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To substantially improve operational control of complex industrial plants, it is important to be able to predict the influences which process variables have on quality-relevant target variables. The determination of i...
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This paper investigates the possibility of computing the actual position of a passenger car based on different independent internal signals available in a production car. A new front wheel based dead reckoning approac...
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For many practical applications, a combination of theoretical and experimental modelling appears feasible. Qualitative knowledge about the most significant effects are often known or easily accessible. This contributi...
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This paper presents the design of a model-based supervision and diagnosis system for hydraulic and future electro-hydraulic passenger car braking systems. A state space model of the braking system has been derived, wh...
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To substantially improve operational control of complex industrial plants, it is important to be able to predict the influences which process variables have on quality-relevant target variables. The determination of i...
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To substantially improve operational control of complex industrial plants, it is important to be able to predict the influences which process variables have on quality-relevant target variables. The determination of influencing relationship and also the delay-time behaviour of various industrial processes makes it difficult to synthesis a quality prediction system. A hybrid modeling method combined with a suitable classification of process characteristics ensures a widespread model synthesis for quality prediction.
The degree of machine automation is continuously increasing, because computer technology, control software, telecommunication technology and visualization systems are also continuously improved. This makes the use of ...
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The degree of machine automation is continuously increasing, because computer technology, control software, telecommunication technology and visualization systems are also continuously improved. This makes the use of new multimedia techniques for reading, communication and presentation of machine or process data possible, even over far distances. Multimedia communication is becoming a technology of growing importance for user interfaces in automation and processcontrol. Think of acoustic and visual data obtained from microphones or cameras applied to a certain automated system. They can be simply used and understood as a new brand of sensors or actuators that are part of a processcontrol unit. Supervising and monitoring of certain process states is simplified, if the operator can "see" and "hear" the real process. Technical aspects concerning types, quality and speed of multimedia data communication will be discussed and especially viewed for an implementation in automated systems.
Investigates the possibility of computing position estimates for passenger cars based only on signals available in a production car. Two new dead reckoning approaches are compared to the well known rear axle based alg...
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Investigates the possibility of computing position estimates for passenger cars based only on signals available in a production car. Two new dead reckoning approaches are compared to the well known rear axle based algorithm. One method combines the wheel revolution data calculated on the basis of raw ABS-signal measurements with the steering angle measurement. The other model based algorithm computes the position estimates using velocity and also steering angle measurement. For this approach the well known tricycle model has been extended by an object-oriented front axle model. Both newly proposed methods perform superior to the simple rear axle based algorithm and provide position data precise enough for control purposes. This was shown by experiments using a real car in connection with a real-time signal processing environment.
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