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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Solihin, M.I. Wahyudi Albagul, A. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Mechatronics Eng., Int. Islamic Univ. Malaysia, Kuala Lumpur (Solihin, M.I.; Wahyudi; Albagul, A.) |
| Abstract | To attain a good control performance of automatic gantry crane system, sensors are indispensable instrument for feedback signals. However, sensing the payload motion of a real gantry crane, particularly swing motion, is not easy and sometimes costly. Therefore, a sensorless automatic gantry crane system is developed and proposed in this paper. A soft sensor based on artificial neural network is introduced to eliminate the real sensor. Instead, a sensor measuring armature current of DC motor driving the cart is used to provide dynamic information for the soft sensor. A simulation study using dynamic model of lab-scale automatic gantry crane is carried out to evaluate the effectiveness of the proposed soft sensor. The results show that the soft sensor can estimate effectively the unmeasured state. Moreover, the proposed method has robustness to deal with parameter variations |
| Sponsorship | IEEE Singapore Sect. IEEE Singapore SMC Chap. IEEE Singapore RA Chap |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 284083 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424400236 |
| DOI | 10.1109/ICCIS.2006.252278 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-06-07 |
| Publisher Place | Thailand |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cranes Neural networks Automatic control Sensorless control Control systems Sensor systems Instruments Neurofeedback Payloads Artificial neural networks radial basis function networks gantry crane soft sensor |
| Content Type | Text |
| Resource Type | Article |
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