The outstanding feature of the pneumatic artificial muscle is its high power to weight ratio vastly outperforming both pneumatic cylinder and DC motor. This feature is very important for using of pneumatic muscle-base...
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ISBN:
(纸本)9789811136719
The outstanding feature of the pneumatic artificial muscle is its high power to weight ratio vastly outperforming both pneumatic cylinder and DC motor. This feature is very important for using of pneumatic muscle-based actuators in industrial robotic systems where high forces and stiffness of mechanism are often required. The most common so far produced and used type of pneumatic artificial muscle is McKibben muscle and it is now made commercially available by different companies (e.g. Festo). In the paper there are described some of its characteristics and principles of control important for using as actuator for industrial robotic applications.
This paper presents a method to design PI and PID controllers in continuous time domain through dominant pole region assignment so that the closed-loop time domain characteristics remain within the desired interval. F...
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This paper presents a method to design PI and PID controllers in continuous time domain through dominant pole region assignment so that the closed-loop time domain characteristics remain within the desired interval. Firstly, parametrization of the PI controllers which assign the dominant pole pair to the desired region is given. The sub-region, in which the remaining poles are located away from the dominant pole region, is then found in (K p , K i ) parameter space by calculating the root boundaries. After that the method is extended for PID controller case by gridding the K p parameter. Thus, all PID controllers, which perform dominant pole region assignment successfully, are given in 3D parameter space. Examples are given for two different pole regions and for both PI and PID controllers.
In this study, a fuzzy logic based autonomous vehicle control system is designed and tested in The Open Racing Car Simulator (TORCS) environment. The aim of this study is that vehicle complete the race without to get ...
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In this study, a fuzzy logic based autonomous vehicle control system is designed and tested in The Open Racing Car Simulator (TORCS) environment. The aim of this study is that vehicle complete the race without to get any damage and to get out of the way. In this context, an intelligent control system composed of fuzzy logic and conventional control structures has been developed such that the racing car is able to compete the race autonomously. In this proposed structure, once the vehicle's gearshifts have been automated, a fuzzy logic based throttle/brake control system has been designed such that the racing car is capable to accelerate/decelerate in a realistic manner as well as to drive at desired velocity. The steering control problem is also handled to end up with a racing car that is capable to travel on the road even in the presence of sharp curves. In this context, we have designed a fuzzy logic based positioning system that uses the knowledge of the curvature ahead to determine an appropriate position. The game performance of the developed fuzzy logic systems can be observed from https://***/qOvEz3-PzRo.
The stabilization problem of nonuniformly sampled systems is considered, provided that the controller/scheduler can select the sampling period. We proposed a method to construct the stabilizing state feedback controll...
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Model predictive control is an optimal control method that requires the solution of a quadratic programming problem with constraints at each sampling time. In this study, an active set method is used to solve the prob...
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Model predictive control is an optimal control method that requires the solution of a quadratic programming problem with constraints at each sampling time. In this study, an active set method is used to solve the problem. The whole control algorithm is written through Matlab editor so that it can be run in embedded systems. A ball and beam system model is utilized to investigate the performance of the controller structure. The simulations are conducted with two different cost functions. The results illustrate that the constructed control system exhibits satisfactory performance in the sense of system response and constraints.
Backlash in gearing and other transmission components is a common positioning-degrading phenomenon that develops over time in industrial machines. High-performance machine tool controls use backlash compensation algor...
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This paper deals with the stabilization problem of nonuniformly sampled systems, assuming that the controller/scheduler can select the sampling period. In this setting, we proposed a sampling-period-varying state feed...
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In this study, the effects of fractional and integer order fuzzy logic PID controllers on system performances are investigated. In that respect, linear and nonlinear fuzzy decision rule bases are taken into considerat...
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In this study, the effects of fractional and integer order fuzzy logic PID controllers on system performances are investigated. In that respect, linear and nonlinear fuzzy decision rule bases are taken into consideration. To be fair on comparison, the parameters of the controllers are all optimized using BBBC optimization algorithm according ITSE performance index. This investigation is done on second order linear system with time delay since many high order systems may be represented by this model. Moreover, further study is done on a nonlinear benchmark system. It has been observed that linear decision surface in both controllers generally gives better performance than nonlinear decision surface. It is concluded that nonlinearity of fractional operators is more effective than the nonlinearity produced by fuzzy rule base.
This paper presents the application of inverse optimal control approach to an unmanned quadrotor air vehicle system. Here, the inverse optimal controller is designed to solve the reference tracking problem relying on ...
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This paper presents the application of inverse optimal control approach to an unmanned quadrotor air vehicle system. Here, the inverse optimal controller is designed to solve the reference tracking problem relying on the use of control Lyapunov function. In the establishment of the control law, the affine-in-input discrete-time nonlinear system model is taken into consideration. A stabilizing feedback control law is constructed such that control Lyapunov function is known a priori. After stability examination and determination of a meaningful cost functional, respective cost functional is optimized. Then, a matrix that minimizes a tracking error function is searched using PSO algorithm. The designed controller has been applied to a nonlinear model of a quadrotor. It is shown that the proposed controller guarantees a fast convergence and makes the quadrotor stabilize itself very fast and follow aggressive trajectories accurately under certain circumstances.
Internet of things (IoT) gets more spread, and large number of smart things are connect to the Internet. In this regard, increases energy consumption. The devices of the IoT can be affected by special attacks on the p...
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Internet of things (IoT) gets more spread, and large number of smart things are connect to the Internet. In this regard, increases energy consumption. The devices of the IoT can be affected by special attacks on the power supply system, DDos attacks, spy attacks. The purpose of research is to develop and research an availability model of IoT systems considering energy modes and cyber attacks. The analysis of main subsystems of the IoT system such as the smart business center (SBC) in terms of availability, security and energy saving was provided. Main research issues of the paper are analysis of the possible types of attacks on IoT infrastructure, assessment of its availability factor, development and research of a Markov model of SBC availability taking into account DDoS attacks on the server and the router and the diversification of energy supply systems and energy modes.
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