scholarly journals Single linear integral action control for closed-loop positioning of a biomimetic actuator with artificial muscles

Author(s):  
B. Tondu
Author(s):  
D P Stoten ◽  
S A Neild

This paper presents a new form of the direct adaptive minimal control synthesis (MCS) algorithm. As its name suggests, the error-based minimal control synthesis with integral action (Er-MCSI) algorithm is solely driven by error signals that are generated within the closed-loop system, and contains an explicit integral gain term. The purpose of this new structure is, respectively, to remove the problem of variable adaptive effort with changes in the operating set point, and to remove gain ‘wind-up’ effects due to plant disturbances and signal offsets. The core of this paper contains a proof of stability for Er-MCSI, based on hyperstability theory, together with supporting simulation and implementation studies.


1976 ◽  
Vol 98 (2) ◽  
pp. 109-118 ◽  
Author(s):  
A. T. Fuller

The early history of control theory is explored, beginning with the contributions of Hooke and Huygens in the seventeenth century, and ending with Airy’s papers of 1840 and 1851. It is argued that, despite appearances to the contrary, Huygens’ speed control system is actually a feedback system. A proof is given that the Huygens-Hooke parabolic governor has integral action, thus eliminating offset. A detailed exposition of Airy’s techniques is given. It is shown that he used a disguised form of linearization. Airy’s system is also investigated using block diagram and Nyquist diagram techniques. The centrifugal governor is shown to have a tendency to resonance which adversely affects closed-loop stability; in agreement with Airy’s findings. Biographical notes on the main contributors are included in order to bring out the background and motivations of their theories.


Author(s):  
Chao Hung Chen ◽  
Hsiung Cheng Lin ◽  
Ying Chu Liu ◽  
Wei Chung Hsu

With increasing demand of robot applications in industry or other areas, the development of both reliable and low-cost robot action control system is getting much attention in recent years. This paper has proposed a local closed-loop based robot action control module using independent microprocessors. The robot action commands transmitted from PC via RS232 can be received by the individual authorized microprocessor. There are up to tens of modules to be operated for a variety of robot actions simultaneously and independently. Real world performance results are presented to demonstrate the effectiveness of the proposed approach in term of robust, simple, flexible and efficient performance.


1998 ◽  
Vol 120 (1) ◽  
pp. 137-142 ◽  
Author(s):  
David M. Alter ◽  
Tsu-Chin Tsao

This paper investigates the use of optimal l1 and H∞ model reference optimal feedforward control to enhance the tracking performance of a linear motor drive. Experimental work is presented which studies the effects of signal preview, tracking constraint, and reference model choice on tracking performance. Suboptimal l1 control where the closed-loop system has a zero on the unit circle due to integral action in the feedback controller is given special attention, and is seen to give near optimal performance for the system under study here. For the specific trajectory employed here, the best performing feedforward controllers were experimentally seen to reduce by more than half the maximum and rms tracking errors of the H∞ optimal feedback closed-loop systems.


2021 ◽  
pp. 002029402198975
Author(s):  
Igor Bélai ◽  
Mikulas Huba ◽  
Damir Vrancic

This paper compares three different position controllers of electrical drives equipped by binomial [Formula: see text] th order filters, which are offering filtering properties important in a quantization noise attenuation. To demonstrate their impact, a non-filtered P-PI control is considered, as a reference. The comparative framework includes a filtered P-PI control, a filtered linear pole assignment PD controllers with a disturbance observer (DO) based integral action and its constrained modification. In terms of a total variation, depending on noise and process properties, all filtered controllers are capable to bring down the undue controller activity at the plant input from 10 to more than 100 times. Furthermore, thanks to the applied disturbance observer, the constrained control derived for a double integrator is shown to fully exploit the closed loop capabilities without any trajectory generation, taking into account the control constraints. Thus, the simplified controller design may focus on other important aspects.


2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Montserrat Gil-Martínez ◽  
Javier Rico-Azagra ◽  
Jorge Elso

The regulation of a disturbed output can be improved when several manipulated inputs are available. A popular choice in these cases is the series control scheme, characterized by (1) a sequential intervention of loops and (2) faster loops being reset by slower loops, to keep their control action around convenient values. This paper tackles the problem from the frequency-domain perspective. First, the working frequencies for each loop are determined and closed-loop specifications are defined. Then, Quantitative Feedback Theory (QFT) bounds are computed for each loop, and a sequential loop-shaping of controllers takes place. The obtained controllers are placed in a new series architecture, which unlike the classical series architecture only requires one controller with integral action. The benefits of the method are greater as the number of control inputs grow. A continuous stirred tank reactor (CSTR) is presented as an application example.


2012 ◽  
Vol 2012 ◽  
pp. 1-13
Author(s):  
Huxiong Li

The tracking problem for continuous-time systems is investigated. It is assumed that the states of the systems are not available. An observer is firstly designed to estimate the states by using theℋ∞method. The control action is consist of a state-feedback control, an integral component, and a feedforward loop. The linear-matrix-inequality region is used to constrain the eigenvalue location for the closed-loop systems. The control gains can be obtained by solving a sequence of linear matrix inequalities (LMIs) which can guarantee the mixedℋ2/ℋ∞performance for the closed-loop systems.


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