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For systems that perform repetitive tasks, a high performance feedforward signal can be derived using iterative learning control (ELC). The feedforward signal is updated through successive iterations. Disturbances present in the control scheme, such as load and measurement disturbances, are also present in the learning process and deteriorate the performance of ILC. This paper presents an expression...
A new method for real-time calculation of constrained nonlinear optimal control problems is proposed. The proposed method is based on the iterative algorithms for obtaining the numerical solutions of optimal control problems. In this paper, we adopt the Riccati-equation based algorithm, one of the iterative algorithms, and demonstrate the proposed 'algorithmic controller' is applicable to the swing-up...
Inkjet printheads operate thanks to resonating fluid-mechanics. At the same time, however, this limits the maximally attainable jetting frequency since the residual vibrations must be damped first prior to jetting a next droplet. This paper presents an approach based on lifted ILC with which input wave forms are designed that leave the droplet formation undisturbed while bringing the channel to a...
A trade-off between voltage regulation and power oscillation damping is achieved by cooperative effort of excitation and STATCOM in this paper. This end is embodied by a predefined linear quadratic regulator (LQR) performance index. Since, in practical power systems, decentralized control is highly desirable for its relatively low cost and high reliability, the controller designing procedure is formulated...
This paper deals with the robust iterative learning control (ILC) design for uncertain single input-single output (SISO) linear time invariant (LTI) systems. The design procedure is based upon solving the robust performance condition using the Youla parameterization and the mu-synthesis approach to obtain a feedback controller. Thereafter, a convergent iterative rule is obtained in a straightforward...
This paper proposes a novel iterative tuning algorithm for achieving velocity control of a two-mass torsional motor system with uncertain parameters. The command generator tracking (CGT) theory is used to establish a direct relationship between the physical model parameters of the system and the feedforward parameters of a special 2DOF controller. This relationship enables the controller to be tuned...
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