Active Engine Mounting Control Algorithm Using Neural Network
نویسندگان
چکیده
منابع مشابه
Vibration control of an automotive engine using active mounts
In this research, vibration control of national engine (EF7) using active mounts is studied for two different mounting layouts. The first layout is based on the current engine mounting of national engine (system of three passive mounts), but the hydraulic mount is substituted by an active mount. The other mounting layout contains 4 mounts, 2 of which are active ones and the others are passive m...
متن کاملActive power filter control using neural network
A method for controlling an active power filter using neural networks is presented. Currently, there is an increase of voltage and current harmonics in power systems, caused by nonlinear loads. The active power filters (APFs) are used to compensate the generated harmonics and to correct the load power factor. The proposed control design is a pulse width modulation control (PWM) with two blocks ...
متن کاملA Method for Pre-Calibration of DI Diesel Engine Emissions and Performance Using Neural Network and Multi-Objective Genetic Algorithm
Diesel engine emission standards are being more stringent as it gains more publicity in industry and transportation. Hence, designers have to suggest new controlling strategies which result in small amounts of emissions and a reasonable fuel economy. To achieve such a target, multi-objective optimization methodology is a good approach inasmuch as several types of ...
متن کاملEngine Mounting Characteristic for Vibration Isolation and Active Vibration Control Strategies
With the trend of lighter vehicle and more powerful engine (power plant) passengers are subjected to large vibration and harshness coming from the engine through the chassis. This paper discusses the application of active vibration control to reduce this vibration effect. Using a mass-spring-damper model which represents a passive engine mount, dynamic characteristic of the mount is obtained fo...
متن کاملPredicting Gestational Diabetes Using an Intelligent Neural Network Algorithm
Introduction: Due to the large amount of data on people with diabetes, it is very difficult to extract the predictors of diabetes. Data mining science has achieved this important goal with the help of its effective methods with the aim of discovering the prediction of diseases and has helped physicians and medical staff in predicting and diagnosing diseases. Methods: The present research is...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Shock and Vibration
سال: 2009
ISSN: 1070-9622,1875-9203
DOI: 10.1155/2009/257480