Smith Predictor-Taylor Series-Based LQG Control for Time Delay Compensation of Vehicle Semiactive Suspension
A Smith predictor-Taylor series-based LQG (STLQG) control to compensate time delay of a semiactive suspension system is newly presented. This control consists of a Taylor series-based LQG (TLQG) control and a Smith predictor based on the TLQG. The TLQG control compensates one half of time delay to d...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2019/3476826 |
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| _version_ | 1832545751085875200 |
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| author | Laihua Tao Shian Chen Guisheng Fang Guanghao Zu |
| author_facet | Laihua Tao Shian Chen Guisheng Fang Guanghao Zu |
| author_sort | Laihua Tao |
| collection | DOAJ |
| description | A Smith predictor-Taylor series-based LQG (STLQG) control to compensate time delay of a semiactive suspension system is newly presented. This control consists of a Taylor series-based LQG (TLQG) control and a Smith predictor based on the TLQG. The TLQG control compensates one half of time delay to decrease magnification from whole time delay compensation. The Smith predictor based on the TLQG compensates the other half to decrease horizontal shift from whole time delay compensation using the Smith predictor-based LQG. Finally, a practical case illustrates advantages of the STLQG control. |
| format | Article |
| id | doaj-art-ee083413f1ca44829e440323a73d6253 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-ee083413f1ca44829e440323a73d62532025-02-03T07:24:52ZengWileyShock and Vibration1070-96221875-92032019-01-01201910.1155/2019/34768263476826Smith Predictor-Taylor Series-Based LQG Control for Time Delay Compensation of Vehicle Semiactive SuspensionLaihua Tao0Shian Chen1Guisheng Fang2Guanghao Zu3School of Mechanical and Automotive Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, ChinaSchool of Mechanical and Automotive Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, ChinaSchool of Mechanical and Automotive Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, ChinaDepartment of Automotive Engineering, Suqian Zeda Vocational & Technical College, Suqian 223800, ChinaA Smith predictor-Taylor series-based LQG (STLQG) control to compensate time delay of a semiactive suspension system is newly presented. This control consists of a Taylor series-based LQG (TLQG) control and a Smith predictor based on the TLQG. The TLQG control compensates one half of time delay to decrease magnification from whole time delay compensation. The Smith predictor based on the TLQG compensates the other half to decrease horizontal shift from whole time delay compensation using the Smith predictor-based LQG. Finally, a practical case illustrates advantages of the STLQG control.http://dx.doi.org/10.1155/2019/3476826 |
| spellingShingle | Laihua Tao Shian Chen Guisheng Fang Guanghao Zu Smith Predictor-Taylor Series-Based LQG Control for Time Delay Compensation of Vehicle Semiactive Suspension Shock and Vibration |
| title | Smith Predictor-Taylor Series-Based LQG Control for Time Delay Compensation of Vehicle Semiactive Suspension |
| title_full | Smith Predictor-Taylor Series-Based LQG Control for Time Delay Compensation of Vehicle Semiactive Suspension |
| title_fullStr | Smith Predictor-Taylor Series-Based LQG Control for Time Delay Compensation of Vehicle Semiactive Suspension |
| title_full_unstemmed | Smith Predictor-Taylor Series-Based LQG Control for Time Delay Compensation of Vehicle Semiactive Suspension |
| title_short | Smith Predictor-Taylor Series-Based LQG Control for Time Delay Compensation of Vehicle Semiactive Suspension |
| title_sort | smith predictor taylor series based lqg control for time delay compensation of vehicle semiactive suspension |
| url | http://dx.doi.org/10.1155/2019/3476826 |
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