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Measurable but controllable disturbances are common in industry, which drive systems away from their references and take time for feedback control to reject them, especially when the systems present input-output delays due to mechanical properties. In this paper, a novel feedforward control based on disturbance prediction is proposed. Besides, to compensate system responses to disturbance prediction...
This paper presents a control structure selection guideline based on Type-1 and Type-2 T-S fuzzy models for multi-input-multi-output (MIMO) processes. By virtue of relative normalized gain array (RNGA), the interactions between process inputs and outputs are analyzed to determine a decentralized control configuration as well as a richer control structure for an MIMO process controller design. Simple...
Disturbances are inevitable in most control systems. They drive the systems away from their set points. It takes time for feedback control to reject them. The feedforward control offers great potentials for regulation performance if the disturbances are measurable. One obstacle for feedforward control implementation is that the theoretical one is unrealizable for various reasons. In this paper, a...
In order to facilitate decentralized fuzzy controller designs for multi-input-multi-output (MIMO) processes, this paper presents a novel manner, called effective Takagi-Sugeno (T-S) fuzzy model (ETSM), to describe the interactions among the loops. For a certain control-loop of an MIMO process, in terms of relative normalized gain array (RNGA) based loop pairing criterion, simple calculating procedure...
In terms of relative normalized gain array (RNGA) criterion, this paper presents an interaction analysis and loop pairing method for multi-input-multi-output (MIMO) processes described by Type-2 Takagi-Sugeno (T-S) fuzzy models. Type-2 fuzzy system offers a significant improvement on traditional (Type-1) fuzzy systems to handle the uncertainties. For each individual loop in the MIMO process, the steady-state...
Two design methods for proportional-integral-derivative (PID) controllers are proposed based on the two-degrees-of-freedom (2-DOF) direct synthesis (DS) approach. One method specifies the closed-loop setpoint-to-output transfer function, and the other specifies the closed-loop disturbance-to-output transfer function. With appropriate DS, the 2-DOF controllers are approximated as a PID controller with...
In this paper, a direct synthesis approach is proposed to design ETF based multivariable decoupling controllers. This new scheme is different from two existing ETF based decoupling schemes which involves the following steps: (1) by uniquely determine the ETFs for every transfer function element, the inverse matrix of transfer function matrix is approximated; (2) selecting the desired closed-loop system...
This paper proposes simple analytic formulas for proportional-integral-derivative (PID) controller tuning for typical process models. The formulas are obtained in a similar way to the simple internal model control (SIMC) tuning rules, while the leading analysis is more delicate. Compared to SIMC counterparts, the new tuning formulas lead to better load disturbance rejection while giving similar setpoint...
Limitations are revealed for the existing methods to derive relative gain array (RGA) for a MIMO process containing integrators and/or differentiators. This paper proposes a new method to overcome these limitations. The method can handle processes described by either transfer functions or state-space models. The effectiveness and simplicity of the proposed method are illustrated with examples where...
This paper presents a new technique of adaptive PI controller for large dead-time processes with sensitivity specification. On the basis of process input and output data of normal operation in the control loop, the important frequency responses of process are estimated with signal decomposition and Laplace analysis, and then a first-order plus dead-time model is identified for large dead-time processes...
This paper presents a technique of adaptive PI controller for processes with large dead-time. With the process input and output data of normal operation in the control loop, the important frequency responses of process are estimated with signal decomposition and analysis, and then a first-order plus dead-time transform function is identified for the processes with large dead-time. Finally PI control...
The PID control algorithm commonly used in current domestic HVAC system. The difficulty status that the engineering staff encounter at the scene when they tune the parameter were given in this paper. A kind of handheld auto-tuning PID controller, based on frequency domain identification was designed, can identify online system model and give the best control parameters of the the current running system...
This paper presents an unified framework for control structure selection of multivariable processes. On the basis of structure decomposition, all interaction transmitting channels to an individual control loop from all the other closed loops are decoupled and represented by elements of the decomposed relative interaction array (DRIA). Utilizing the decoupled interactions from both inputs and outputs,...
In this paper, a new interaction measure and loop pairing criterion for decentralized control of multivariable processes, in which both steady-state gain and bandwidth information of the process open loop transfer function is summarized. Compared with existing methods, this method is simple, effective, and easy to understood and applied by control engineers. Further more, it is applied to the process...
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