By Takashi Yamaguchi, Mitsuo Hirata, Chee Khiang Pang
Mechatronic structures are utilized in a number patron items from large-scale braking platforms in vehicular brokers to small-scale built-in sensors in cellphones. to maintain velocity within the aggressive customer electronics undefined, businesses have to continually enhance servo evaluate and place keep an eye on of those mechatronic platforms. Advances in High-Performance movement regulate of Mechatronic structures covers complicated regulate subject matters for mechatronic purposes. particularly, the publication examines keep an eye on platforms layout for ultra-fast and ultra-precise positioning of mechanical actuators in mechatronic systems.
The e-book systematically describes movement regulate layout tools for trajectory layout, sampled-data special positioning, temporary keep an eye on utilizing switching keep an eye on, and dual-stage actuator keep an eye on. every one technique is defined intimately, from theoretical points to examples of tangible functions together with hard disk drive drives, optical disk drives, galvano scanners, own mobility robots, and extra. This is helping readers larger know the way to translate regulate theories and algorithms from conception to layout and implementation in real looking engineering structures. The booklet additionally identifies vital examine instructions and complicated keep an eye on ideas which can supply strategies for the subsequent iteration of high-performance mechatronics.
Bridging examine and undefined, this publication offers cutting-edge keep watch over layout methodologies which are greatly acceptable to industries equivalent to production, robotics, domestic home equipment, autos, printers, and optical drives. It publications readers towards greater options for high-performance mechatronic structures of their personal items.
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Additional info for Advances in High-Performance Motion Control of Mechatronic Systems
10 Minimum jerk control for diﬀerent sampling periods. positioning error at t = T becomes large if the sampling period is not small enough as τ = 100 ms. An approach to avoid the positioning error at the ﬁnal time t = T is to obtain the feedforward input by taking into account the eﬀects of the ZOH. The details of this approach will be presented in the next section. 4 Sampled-Data Polynomial Input A feedforward input generated by a polynomial taking account of the eﬀect of the ZOH is referred to as the sampled-data polynomial input .
From Chiba University in 1996. From 1996 to 2004, he was a research associate of electronics and mechanical engineering at Chiba University. Currently, he is a professor of electrical and electronic systems engineering at Utsunomiya University. Professor Hirata has extensive research experience in design and implementation of advanced control algorithms for mechatronic systems. ), etc. He is the co-author of Nanoscale Servo Control, TDU Press, 2007, which is the ﬁrst book in Japan regarding the modeling and the control of HDDs.
2 Minimum Jerk Input . . . . . . . . . . . . . . . . . . 3 Digital Implementation of Minimum Jerk Input . . . . 4 Sampled-Data Polynomial Input . . . . . . . . . . . . Final-State Control . . . . . . . . . . . . . . . . . . . . . . . 1 Problem Formulation . . . . . . . . . . . . . . . . . . 2 Minimum Jerk Input Design by FSC . . . . . . . . . . 3 Vibration Minimized Input Design by FSC . .