This paper presents an analysis of the dynamics of binary digital pneumatic-cylinder systems, which was undertaken to achieve multi-step positioning control. Based on an experimental system and a new algorithm for num...
This paper presents a design method for digital repetitive control systems for a plant with structured uncertainties. A two-degree-of-freedom (TDF) control system configuration has been employed in order to achieve th...
详细信息
This paper presents a design method for digital repetitive control systems for a plant with structured uncertainties. A two-degree-of-freedom (TDF) control system configuration has been employed in order to achieve the desired feedback and input-output performance independently. The lowest-order feedback repetitive controller is designed to guarantee the robust stability of the closed-loop system and provide the desired closed-loop performance. Afeedforward repetitive deadbeat controller has been designed to obtain the desired transient response.
A motor go-cart was altered such that a disabled child could control it with a single hand via a joystick. This required: (1) selecting power systems to servo the steering, throttle and brakes; (2) building analogue c...
详细信息
A motor go-cart was altered such that a disabled child could control it with a single hand via a joystick. This required: (1) selecting power systems to servo the steering, throttle and brakes; (2) building analogue control circuits and amplifiers to drive and control the power systems; (3) designing and building mechanisms to connect the power systems to the various functions on the go-cart; (4) system testing on a group of disabled and steering problems identification; and (5) modifying a second kart using a 'mechatronic' solution. This entailed taking the driver input to a microprocessor which then controlled the servos. The system could be easily reprogrammed to cope with different demands. This enables the control response of the vehicle to the driver input to be simply varied in accordance with the drivers' skills and abilities and the type of track (i.e. a fast or slow track). For example, the steering sensitivity and the maximum vehicle speed can be programmed for a particular driver.< >
作者:
P.C. BreedveldElectrical Engineering Department
Control Systems and Computer Engineering Group Control Laboratory and Mechatronics Research Centre Twente University of Twente Enschede Netherlands
The author identifies incentives for the use of computer-aids in modelling and design of physical systems and discusses possible solutions.
The author identifies incentives for the use of computer-aids in modelling and design of physical systems and discusses possible solutions.< >
作者:
B. FrankeP. LohnbergControl Laboratory
Department of Electrical Engineering and Mechatronics Research Centre Twente University of Twente Enschede Netherlands
This paper deals with consecutive (open-loop) identification and (closed-loop) control of a linear, time-invariant SISO process. The partition of a fixed total time between identification and control. is optimised acc...
详细信息
This paper deals with consecutive (open-loop) identification and (closed-loop) control of a linear, time-invariant SISO process. The partition of a fixed total time between identification and control. is optimised according to an LQ criterion. For a static gain process, an analytical expression for the optimal identification time as a function of the a-priori parameter mean and variance is derived. For an integrator process, the optimal identification time obtained from simulations is approximated by an analytical formula. Both procedures are applied on-line by replacing the a-priori statistics by their estimates. Finding an analytical expression for higher order processes appeared infeasible. Therefore, for a static gain process, at each sampling instant, the predicted cost for continuing identification is compared to the predicted cost for starting control This procedure is expected to be applicable for dynamic systems of high order.
A layered architecture was proposed for the command and control system of semi-autonomous space robots, and the proposal was validated by the demonstration of replacing an orbital replacement unit on a testbed for spa...
详细信息
A layered architecture was proposed for the command and control system of semi-autonomous space robots, and the proposal was validated by the demonstration of replacing an orbital replacement unit on a testbed for space robots. The command and control system consists of four layers: a task scheduling module, a macro-task module, a micro-task module, and an intelligent control module. The macro- and micro-task modules were implemented on top of Lisp and have a symbolic world model which is integrated with an online robot simulator developed upon a commercial robot simulator for industrial robots. The task decomposition and expansion from macro commands to micro commands was carried out dynamically by consulting the world model, and the impending collision between a manipulator and obstacles was detected by the online robot simulator. A small visual marker which can measure 6-DOF was designed, and a visual feedback system was developed with the visual marker.
This paper describes a globoidal-cam type gearing with roller-wheel composed of two lines of roller followers to obtain a no-backlash reduction gearing. A principal advantage of this system is the reduction of backlas...
详细信息
Many processes operate only around a limited number of operation points. In order to have adequate control around each operation point, an adaptive controller could be used. Then, if the operation point changes often,...
详细信息
Many processes operate only around a limited number of operation points. In order to have adequate control around each operation point, an adaptive controller could be used. Then, if the operation point changes often, a large number of parameters would have to be adapted over and over again. This prohibits application of conventional adaptive control, which is more suited for processes with slowly changing parameters. Furthermore, continuous adaptation is not always needed or desired. An extension of adaptive control is presented, in which for each operation point the process behaviour can be stored in a memory, retrieved from it and evaluated. These functions are coordinated by a "supervisor". This concept is referred to as supervisory control. It leads to an adaptive control structure which, after a learning phase, quickly adjusts the controller parameters based on retrieval of old information, without the need to fully relcam each time. This approach has been tested on an experimental set-up of a flexible beam, but it is directly applicable to processes in e.g. the (petro)chemical industry as well.
Many processes operate only around a limited number of operation points. In order to have adequate control around each operation point, an adaptive controller could be used. Then, if the operation point changes often,...
详细信息
Many processes operate only around a limited number of operation points. In order to have adequate control around each operation point, an adaptive controller could be used. Then, if the operation point changes often, a large number of parameters would have to be adapted over and over again. This prohibits application of conventional adaptive control, which is more suited for processes with slowly changing parameters. Furthermore, continuous adaptation is not always needed or desired. An extension of adaptive control is presented, in which for each operation point the process behaviour can be stored in a memory, retrieved from it and evaluated. These functions are coordinated by a “supervisor”. This concept is referred to as supervisory control. It leads to an adaptive control structure which, after a learning phase, quickly adjusts the controller parameters based on retrieval of old information, without the need to fully releam each time. This approach has been tested on an experimental set-up of a flexible beam, but it is directly applicable to processes in e.g. the (petro)chemical industry as well.
作者:
R.A. HilhorstJ. van AmerongenP. LöhnbergH.J.A.F. TullekenControl
Systems and Computer Engineering Group Dept of Electrical Engineering University of Twente and Mechatronics Research Centre Twente P. O. Box 217 7500 AE Enschede The Netherlands Process Systems Group
Dept of Mathematics & Systems Engineering Koninklijke/Shell-Laboratorium (Shell Research B.V.) P.O. Box 3003 1003 AA Amsterdam The Netherlands
The intelligence of controllers has increased over the decades. However, the number of applications of adaptive controllers is still restricted, due to practical limits of the implemented continuous adaptation. For pr...
详细信息
The intelligence of controllers has increased over the decades. However, the number of applications of adaptive controllers is still restricted, due to practical limits of the implemented continuous adaptation. For processes which operate only in a limited number of modes (so called mode-switch processes), constant adaptation is not needed or desired. In this paper an intelligent extension of adaptive control will be presented, in which process behaviour can be stored in a memory, retrieved from it and evaluated for each mode of operation. This intelligent memory concept leads to an adaptive control structure which, after a learning phase, quickly adjusts the controller parameters based on retrieval of old information, without the need to relearn every time. This approach has been tested on a simulation model of an assembly robot, but it is directly applicable to many processes in the (petro)chemical industry.
暂无评论