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This paper focuses on the analysis and synthesis of optimal servo control for network-based systems subjected to connection failure. It is shown that for an open loop stable system containing integral control action, existence conditions as well as the initial feasible controller gains are solely dependent on a set of interaction indices which can be computed directly from the open loop DC gains of...
Camless internal combustion engines offer improvements over traditional engines in terms of torque performance, reduction of emissions, reduction of pumping losses and fuel economy. Theoretically, electromagnetic valve actuators offer the highest potentials for improving efficiency due to their control flexibility. For real applications, however, the valve actuators developed so far suffer from high...
In this paper, a detailed study on the tuning scheme of PI controllers utilizing the advanced numerical optimization is presented for loss minimization operation and optimal torque control in a vector controlled induction motor drive. The robust PI controller design problem is solved by the maximization of gain margin and phase margin. Thus, the presented controllers can stabilize the system for various...
We consider the problem of spatio-temporal systems, with sensor measurements and control actions at each point in a spatial domain, such that the dynamics at each point may effect those at any other point with some propagation delay, and the controllers may communicate between any points with some transmission delays. We wish to synthesize such a controller to minimize a closed-loop norm for the entire...
This paper considers guaranteed cost control problem for systems with saturating actuators and input delays. By using Razumikhin stability theorem, a linear state feedback control law is found, ensuring not only the closed-loop system's stability but guaranteed cost index. And the problem of designing the optimal guaranteed cost controller is converted to a convex optimization problem within the framework...
The control problem for a hybrid vehicle powertrain is commonly tackled as an optimal control problem, although this is often used in a general sense as opposed to a strict mathematical definition. The problem may be characterised in many ways depending on the performance objective, the hybrid vehicle model considered, the constraints imposed and the available control actions. However, as a general...
In industry process, though facing the difficulty of modeling, the historical accumulated object datum has not been made best use of. In this paper, a novel identification solution based on the improved E.Coli foraging algorithm (IEFOA) was proposed. IEFOA is presented with three main operators, which include a tumbling operator, a swimming operator and a tracing operator that at the same time records...
This paper analyzes optimal controller settings for controllers with One-Degree-of-Freedom (1-DOF) Proportional-Integral-Derivative (PID) structure. The analysis is conducted from the point of view of the operating mode (either servo or regulation mode) of the control loop and tuning mode of the controller. Performance of the optimal tuning settings (ISE-like) can be degraded when the operating mode...
The ant colony algorithm (ACA), which is an optimization technique based on evolutionary computation in the advantages of fast convergence, good robustness and global optimization capability. In the paper, the mathematical model of ant colony algorithm is introduced. According to the under-actuated manipulator system pendubot, using the state feedback control of partial feedback linearization, a swing-up...
This paper illustrates robust fixed order power oscillation damper design for mitigating power systems oscillations. From implementation and tuning point of view, such low and fixed structure is common practice for most practical applications, including power systems. However, conventional techniques of optimal and robust control theory cannot handle the constraint of fixed-order as it is, in general,...
In this paper, a novel design approach based on time-response resemblance of the closed-loop system via particle swarm optimization is proposed to improve performance of the redesigned digital system for continuous-time uncertain interval systems. The design rationale of the proposed approach is to derive a digital controller for the redesigned digital system so that step response sequences corresponding...
This paper proposes a novel adaptive genetic algorithm (AGA) for the multi-objective optimization design of a PID controller and applies it to the control of a real active magnetic bearing (AMB) system. The performances of the AGA are compared with that of the simple genetic algorithm (SGA) in optimizing dynamic responses of the controlled AMB. It shows that because of the proposed AGA can adjust...
This paper presents recent work on using a theory of topology optimum and PID control theory to design a microgripper system. The driver of microgripper is a piezoelectricity ceramics microactuator. This study uses a PZT microactuator of 5 mm length, 3 mm width and 0.5 mm thickness. The compliant microgripper is the main component of a system developed to grasp and manipulate tiny objects. A PID control...
On the basis of logistic (Verhulst) model describing obstruction to a growth of population under environment and resources restriction, the most extensively used urban water demand function, namely, urban average population water demand model was established. For the sake of the extraordinary significance of efficiency and effect of investment in water industry, an urban water supply function was...
The energetic efficiency of the PV panels can be sensibly increased using tracking systems. In their control program design the main parameters are the motions amplitude and the tracking steps number which are subject of optimization based on maximization of the received direct solar radiation on panel, on minimization of the driving energy for tracking, on PV type and on local meteorological conditions...
In this paper a mono-objective optimum design procedure for a six-degree of freedom parallel micro robot is outlined by using optimality criterion of workspace and numerical aspects. A mono-objective optimization problem is formulated by referring to a basic performance of parallel robots. Additional objective functions can be used to extend the proposed design procedure to more general but specific...
In this paper, we consider to optimize decentralized dynamic quantizers for the feedback control with discrete- valued signal constraints. We first formulate an optimization problem of decentralized dynamic quantizers in a given feedback system. Then, we derive a solution to the problem in an analytical way.
An optimal design in mechatronics can only be accomplished if the interaction between the control system and the structural dynamics is considered in an early design stage. Moreover, the dynamic behavior of a mechatronic system may be largely dependent on the spatial configuration. This inevitably affects the performance and the stability of the control system. This paper presents a methodology to...
In this paper we investigate the possibility of applying the hybrid model predictive control (MPC) framework to solve a control problem regarding tracking of a moving vehicle. The study originates from the design of an adaptive cruise controller (ACC) of a Smart car, that aims to closely follow a reference trajectory transmitted by a leading vehicle. The physical behavior of the Smart and the constraints...
The most commonly used methods for design of the industrial speed controllers are: experimental, root locus, frequency and optimization methods. The most commonly used experimental methods are Ziegler-Nichols methods: stability margin and step response function. Ziegler-Nichols methods are applied for design of speed controller of PM brushless DC motor drive. Both methods give the controller parameters,...
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