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In the challenge to manufacture high quality products it is necessary to regularly monitor performance of control loops that regulate the quality variables of interest. This paper describes a design scheme of performance-driven self-tuning controllers which are based on the above control strategy. According to the proposed control scheme, ‘control performance evaluation’ and ‘controller design’ can...
In this study, a nonlinear system is controlled using a linear adaptive method. A nonlinear system is approximated a linear model at each operating point, and a control law is designed based on the approximated linear model. To obtain a suitable linear model at each operating point, many linear models are simultaneously identified. However, the computation load for identifying many models is considerably...
PID control is a common and an effective approach in process industries. However, it is important to determine suitable PID gains included in the PID controller because the control performance strongly depends on these PID gains. In this paper, a new design scheme of PID controllers without using the system model in computing PID gains. That is, PID gains can be derived by using only the operating...
In the challenge to manufacture high quality products for less, it is necessary to regularly monitor performance of control loops that regulate the quality variables of interest. This paper describes performance-adaptive PID control schemes which is based on a unified approach to the design of a control performance and PID controller. According to the proposed approach, the control performance is...
PID control scheme is widely used in industry and is mounted over 90 percent of method. However, PID gains influence control performance, so it is important to determine PID gains. Traditionally, PID gains are computed based on the description model, however, if the model is not accuracy, PID gains cannot be obtained good performance. PID gains is computed using particle swarm optimization based on...
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