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Zhang Z.,Northeastern University China | Dong J.,Northeastern University China | Yang G.-H.,State Key Laboratory of Synthetical Automation for Process Industry
2013 25th Chinese Control and Decision Conference, CCDC 2013 | Year: 2013

The 3DOF helicopter system is a multi-variable and strong coupled system. This paper is concerned with input-output energy decoupling and presents a new input-output energy decoupling conditions for 3DOF helicopter system. The previous methods achieve input-output energy decoupling in entire frequency range and often with additional conditions, which is not completely adopted to practical situation. Therefore, it is necessary to achieve input-output energy decoupling in a finite frequency range and without additional conditions. The new input-output energy decoupling conditions are proposed in this paper as a finite-dimensional convex optimization problem described by linear matrix inequalities (LMIs) to solve this problem, which is with less conservatism. The algorithm is applied to 3DOF helicopter system and the simulation results are given to illustrate the effectiveness of the proposed new decoupling methods. © 2013 IEEE.


Li Z.,Northeastern University China | Li Z.,State Key Laboratory of Synthetical Automation for Process Industry | Dong J.,Northeastern University China | Dong J.,State Key Laboratory of Synthetical Automation for Process Industry | And 2 more authors.
2013 25th Chinese Control and Decision Conference, CCDC 2013 | Year: 2013

This paper presents a new method for determining a constant precompensator for reducing the effects of interactions of the flight control systems in Canard Aircraft. However, the previous methods achieve diagonal dominance either at a certain suitable frequency or across the entire frequency domain. Taking the practical engineering situation into consideration, it is necessary to achieve diagonal dominance among a specific section instead of the whole of the frequency domain. This paper combines the LMIs and the Generalized KYP Lemma to obtain a new method to solve the problem. The algorithm is then modified to reduce the conservatism by the introduction of a path-shaping matrix. The path-shaping matrix enables a designer to find an optimal precompensator to achieve a specific forward path structure and a satisfactory output response. The algorithm is applied to a Canard Aircraft flight control system. Simulations show the new approach can more effectively decouple the Canard Aircraft system than other approaches. © 2013 IEEE.


Dong J.,Northeastern University China | Dong J.,State Key Laboratory of Synthetical Automation for Process Industry | Yang G.-H.,Northeastern University China | Yang G.-H.,State Key Laboratory of Synthetical Automation for Process Industry | And 2 more authors.
Chinese Control Conference, CCC | Year: 2013

This paper is concerned with the stability analysis for T-S fuzzy control systems. By exploiting the property of the structure of fuzzy inference engine, an equivalence relation on index set of the product of rule weights is defined. Further, a new class of stability analysis conditions is proposed by using the equivalence classes under the relation. In contrast to the existing results, the new conditions are with less conservatism and a lighter computational burden. Numerical examples are given to illustrate the effectiveness of the proposed methods. © 2013 TCCT, CAA.


Jiuxiang D.,Northeastern University China | Jiuxiang D.,State Key Laboratory of Synthetical Automation for Process Industry | Yang G.-H.,Northeastern University China | Yang G.-H.,State Key Laboratory of Synthetical Automation for Process Industry
Chinese Control Conference, CCC | Year: 2012

This paper considers the H∞ dynamic output feedback (DOF) control problem for nonlinear discrete-time systems, which are represented by a new type of T-S fuzzy systems with local nonlinear models. A class of DOF controllers with local nonlinear dynamic structures are proposed and a convex controller design method is developed. In contrast to the existing methods, the new method can design dynamic output feedback controllers with fewer fuzzy rules as well as less computational burden. A numerical example is given to illustrate the effectiveness of the proposed methods. © 2012 Chinese Assoc of Automati.


Pang X.-F.,State Key Laboratory of Synthetical Automation for Process Industry | Yu S.-P.,State Key Laboratory of Synthetical Automation for Process Industry | Luo X.-C.,State Key Laboratory of Synthetical Automation for Process Industry | Pan Q.-K.,State Key Laboratory of Synthetical Automation for Process Industry | And 2 more authors.
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice | Year: 2012

In steelmaking-continuous casting (SCC) production process, starting time or finishing time is often largely delayed, which can lead to unexpected changes so that the original scheduling plan becomes unrealizable. Manual adjusting cannot response in time, which will destroy the optimality of scheduling plan. As a result, rescheduling is required to adjust the original planning and schedule in response to any unexpected changes caused by delayed time. In this paper, the rescheduling problem is firstly analyzed. The rescheduling method is presented, which does not change assigned machines of processing charge. A decomposition strategy is proposed, and the original problem is split into subproblems. This is then followed by the establishment of repairing time model that repairs starting time of the processing charges by introducing production schedule parameter β. The establishment of a multi-objective nonlinear 0-1 integer programming model is used to solve the scheduling problem of not starting production charges, and a two-stage optimal scheduling method is proposed including the production path planning of charges and the production time scheduling. The dynamic scheduling system for SCC with the rescheduling method has been successfully applied to steel plant, efficiently reducing scheduling time and shorting the redundant waiting time for molten steel.


Dong J.,Northeastern University China | Dong J.,State Key Laboratory of Synthetical Automation for Process Industry | Song X.,Northeastern University China | Yang G.-H.,Northeastern University China | Yang G.-H.,State Key Laboratory of Synthetical Automation for Process Industry
Proceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012 | Year: 2012

This paper considers the observer-based fuzzy control problem for nonlinear discrete-time systems, which are represented by a type of fuzzy systems with local nonlinear models. By using the estimations of the states and nonlinear functions in local models, sufficient conditions for designing observer-based controllers are given for discrete-time nonlinear systems. A separation property, that is, the controller and the observer can be independently designed, is proved for the class of fuzzy systems. Lastly, a numerical example is given to illustrate the effectiveness of the proposed methods. © 2012 IEEE.

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