Architecture of the proposed algorithm.
Abstract:
In this paper, a minimum-learning-parameter (MLP) based neural control method is proposed for micro-electro-mechanical system (MEMS) gyroscope with prescribed performance...Show MoreMetadata
Abstract:
In this paper, a minimum-learning-parameter (MLP) based neural control method is proposed for micro-electro-mechanical system (MEMS) gyroscope with prescribed performance and input quantization. For the first time, a logarithmic quantizer (LQ) is employed to generate smooth input control signal for MEMS gyroscope, which greatly reduces the communication data size as well as actuator bandwidth. To improve the performance of MEMS gyroscope in the presence of quantization error, a prescribed performance control scheme consisting of preselected performance boundaries and an error transformation is utilized, such that preselected transient and steady-state properties can be assured. In contrast to the neural control strategies subject to the issue of learning explosion, a MLP-based neural network (NN) is introduced to estimate the unknown uncertainties using the norm of neural weight. To eliminate the effect of quantization error induced by LQ, a robust quantized control is designed to further ensure the closed-loop system suffering from discontinuous dynamics with prescribed ultimately uniformly bounded (UUB) performance. In the end, a series of simulations are presented to validate the superiority of the proposed control methodology.
Architecture of the proposed algorithm.
Published in: IEEE Access ( Volume: 8)
Funding Agency:
Key Laboratory of Instrumentation Science and Dynamic Measurement, Ministry of Education, North University of China, Taiyuan, China
School of Information and Communication Engineering, North University of China, Taiyuan, China
Haonan Si was born in Jiangsu, China, in 1998. He is currently pursuing the B.Sc. degree in communication with the North University of China. His current research interests contain quantized control, constrained control, and neural learning control.
Haonan Si was born in Jiangsu, China, in 1998. He is currently pursuing the B.Sc. degree in communication with the North University of China. His current research interests contain quantized control, constrained control, and neural learning control.View more
Key Laboratory of Instrumentation Science and Dynamic Measurement, Ministry of Education, North University of China, Taiyuan, China
National Key Laboratory for Electronic Measurement Technology, North University of China, Taiyuan, China
Xingling Shao received the M.S. degree in instrument science and technology from the North University of China, Shanxi, China, in 2012, and the Ph.D. degree in navigation, guidance and control from Beihang University, Beijing, China, in 2016. Since 2018, he has been a Professor with the Department of Instrument and Electronics, North University of China. His current research interests are in the fields of anti-disturbance...Show More
Xingling Shao received the M.S. degree in instrument science and technology from the North University of China, Shanxi, China, in 2012, and the Ph.D. degree in navigation, guidance and control from Beihang University, Beijing, China, in 2016. Since 2018, he has been a Professor with the Department of Instrument and Electronics, North University of China. His current research interests are in the fields of anti-disturbance...View more
Key Laboratory of Instrumentation Science and Dynamic Measurement, Ministry of Education, North University of China, Taiyuan, China
National Key Laboratory for Electronic Measurement Technology, North University of China, Taiyuan, China
Wendong Zhang was born in Henan, China, in 1962. He is currently a Professor with the School of Instrument and Electronics, North University of China, Taiyuan, China. His research interest includes dynamics testing and control theory for nonlinear uncertain systems.
Wendong Zhang was born in Henan, China, in 1962. He is currently a Professor with the School of Instrument and Electronics, North University of China, Taiyuan, China. His research interest includes dynamics testing and control theory for nonlinear uncertain systems.View more
Contents Key Laboratory of Instrumentation Science and Dynamic Measurement, Ministry of Education, North University of China, Taiyuan, China
School of Information and Communication Engineering, North University of China, Taiyuan, China
Haonan Si was born in Jiangsu, China, in 1998. He is currently pursuing the B.Sc. degree in communication with the North University of China. His current research interests contain quantized control, constrained control, and neural learning control.
Haonan Si was born in Jiangsu, China, in 1998. He is currently pursuing the B.Sc. degree in communication with the North University of China. His current research interests contain quantized control, constrained control, and neural learning control.View more
Key Laboratory of Instrumentation Science and Dynamic Measurement, Ministry of Education, North University of China, Taiyuan, China
National Key Laboratory for Electronic Measurement Technology, North University of China, Taiyuan, China
Xingling Shao received the M.S. degree in instrument science and technology from the North University of China, Shanxi, China, in 2012, and the Ph.D. degree in navigation, guidance and control from Beihang University, Beijing, China, in 2016. Since 2018, he has been a Professor with the Department of Instrument and Electronics, North University of China. His current research interests are in the fields of anti-disturbance control theory and application for nonlinear uncertain systems, advanced signal processing methods for navigation, and robust cooperative flight control theory and method for quadrotors.
Xingling Shao received the M.S. degree in instrument science and technology from the North University of China, Shanxi, China, in 2012, and the Ph.D. degree in navigation, guidance and control from Beihang University, Beijing, China, in 2016. Since 2018, he has been a Professor with the Department of Instrument and Electronics, North University of China. His current research interests are in the fields of anti-disturbance control theory and application for nonlinear uncertain systems, advanced signal processing methods for navigation, and robust cooperative flight control theory and method for quadrotors.View more
Key Laboratory of Instrumentation Science and Dynamic Measurement, Ministry of Education, North University of China, Taiyuan, China
National Key Laboratory for Electronic Measurement Technology, North University of China, Taiyuan, China
Wendong Zhang was born in Henan, China, in 1962. He is currently a Professor with the School of Instrument and Electronics, North University of China, Taiyuan, China. His research interest includes dynamics testing and control theory for nonlinear uncertain systems.
Wendong Zhang was born in Henan, China, in 1962. He is currently a Professor with the School of Instrument and Electronics, North University of China, Taiyuan, China. His research interest includes dynamics testing and control theory for nonlinear uncertain systems.View more